The Ultimate Guide to Power BI for Businesses in 2024

INTRODUCTION

Welcome to our Ultimate Guide to Power BI! Here we will aim to give you an overview of Power BI, it’s capabilities and how it compares to other tools in the market. As a Power BI Consultancy we have completed 500+ Power BI dashboards for our clients and this guide is based on our experience and the knowledge that we gained from all of these projects.

Do you know why some businesses struggle while others succeed despite having access to the same data?

The answer is simple: Some have data, while others have insights.

Many businesses are only data-aware, meaning they know data is important and may even generate large amounts of it.

But data-driven businesses understand that data has zero business value until it’s transformed into actionable insights.

When a business starts using data to improve its decisions and operations, it becomes data-driven.

The Ultimate Guide to Power BI for Businesses

 Where does your organization belong?

A study from Mckinsey shows that data-driven organizations are:

  • 23x more likely to acquire customers
  • 6x as likely to retain customers
  • 19x more likely to be profitable

Every modern business should strive to become data-driven to stay competitive, and you can by investing in and prioritizing Business Intelligence.

What is Business Intelligence?

BI or Business Intelligence is, by and large, a set of technological processes that involves collecting, managing, and analysing data to improve business decisions and operations.

What is Business Intelligence?

Business Intelligence or BI has been a buzzword in the business world for several years now and it’s still yet to reach its pinnacle.

The advent of BI has made it easier than ever for businesses to:

  • understand their customers better to give them personalized experiences, optimize their marketing, and achieve higher conversion and retention rates
  • identify new markets and opportunities
  • spot trends
  • forecast outcomes
  • respond swiftly to market changes
  • minimize losses and boost profit.

Research compiled by Yellow Fin BI revealed that the average ROI for enterprises using business intelligence and analytics is 1300%.

This proves Business Intelligence is more than just a buzzword today. It’s something every modern business must adopt at every level to stay ahead of the curve.

Now, you may be wondering, how can you incorporate Business Intelligence into your organization to become data-driven?

The answer lies in the tools and processes that turn raw data into insights.

One of the best solutions for this is Power BI. This business intelligence tool allows you to collect, analyse, and visualize data in real-time, so you can easily discover insights that drive better decisions.

By using Power BI, you can integrate data from multiple sources, create interactive reports, and share these insights across your organization so everyone has access to the information they need to make informed decisions.

Power BI by all means brings out the power in BI, don’t you agree?

In this guide, you’ll learn every detail about Power BI, with a greater focus on how to use it to improve your business performance.

CHAPTER 1 – Introduction to Power BI

Power BI has been called many things:

  • Microsoft Excel’s fancy older sibling
  • A tool for creating and automating reports that are too interesting to be boring
  • Data Visualization tool for technical and non-technical people

And you’ll like this one:

  • A hybrid of Microsoft PowerPoint and Microsoft Excel

None of these things perfectly tell you what Power BI really is but they do give you an idea of its capabilities.

You’ll see how at the end of this chapter.

Brief History and Development by Microsoft

Power BI has an interesting backstory that starts with its earlier versions: Power Pivot and Power Query in Microsoft Excel.

In the summer of 2010, Ron George designed what was first called Project Crescent. This tool was first available for public download on July 11, 2011, as part of SQL Server Codename Denali.

Then, in September 2013, Microsoft renamed it Power BI for Office 365.

The first version of Power BI was based on add-ins like Power Query, Power Pivot, and Power View that worked with Excel.

Over time, Microsoft added many new features, such as the ability to ask questions in plain language, better connections to business data, and stronger security through Power BI Gateways.

On April 14, 2015, Microsoft acquired the Canadian company Datazen to enhance Power BI. This acquisition helped improve its mobile features and compatibility with SQL Server. Also, many of the visuals in Power BI today were originally from Datazen.

Power BI officially launched to everyone on July 24, 2015, and has since been available in different formats like desktop, web, and mobile apps.

The history of Power BI development

What is Power BI?

Microsoft Power BI is the leading business intelligence (BI) tool today. It is a suite of apps, connectors, and services that gives businesses the power to convert their complex data into valuable insights. It bridges the gap between data and decisions.

One of the reasons Power BI is so popular is because of its seamless integration with a variety of products and data sources. It consolidates all your data sources such as Excel workbooks, SQL databases, cloud services, and web apps, in one single place and allows you to analyse the data and display insights through rich, user-friendly dashboards.

Importance of Power BI in Modern Business Intelligence

When Business intelligence (BI) first became a practice, it was regarded as a costly and complex field exclusive to large enterprises. But now, with the use of Power BI, the power of Business Intelligence is available to businesses of all sizes.

Power BI’s self-service capabilities and competitive pricing led the evolution of Modern Business Intelligence by democratizing BI and catering to the BI needs of both big corporations and small companies alike.

Modern Business Intelligence is empirically a technological process that helps organizations use data to make informed decisions. The BI process typically goes this way:

Data Analysis Step by step procedure
  • Data Preparation: Gathering and preparing data from multiple sources for analysis.
  • Data Mining: Digging into databases, stats, and using machine learning to find patterns in big data.
  • Descriptive Analytics: Looking at initial data to understand what happened.
  • Querying: Asking specific questions about the data and getting answers.
  • Statistical Analysis: Using stats to explore data and explain trends.
  • Performance Metrics and Benchmarking: Comparing current data to historical data to measure progress against goals.
  • Data Visualization: Making data more accessible with visualizations.
  • Visual Analysis: Using visual storytelling to communicate insights and keep the analysis flowing.
  • Reporting: Sharing data insights with others to inform decisions.

The single most important reason why Power BI is a must-have for Business Intelligence in today’s world is that it provides a simple and intuitive platform that takes care of each and every step of the BI process, from data preparation to insightful reporting.

Why Businesses Choose Power BI?

Power BI is one of the big players in business intelligence and data visualization today. It has been positioned as a Leader in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for the seventh consecutive year.

2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

The biggest advantage of Power BI is how relatively easy it is to use (even for non-technical users) when compared to Excel sheets which most businesses and analysts are already familiar with. Power BI takes Excel to a whole new level by letting you visualize your data beyond rows and columns.

Power BI is definitely your go-to option if your business is looking for a complete business intelligence solution that could help you to:

Improve Data Management

As your business grows, so will the complexity of your data. Valuable data is everywhere and today’s estimate suggests that internet users generate approximately 402.74 million terabytes of data each day (SOURCE: Statista)

Collecting valuable data is paramount to the success of BI in your organization but it’s tricky because:

  • Having data isn’t the same as being data-driven.
  • Data when not managed properly creates, instead of solves, problems.

A 2020 study carried out by Accenture  shows that US businesses lose 100 billion dollars every year due to data inaccuracy.

Managing your data to avoid these issues then becomes another hurdle in becoming a data-driven organization.

Data management involves collecting, cleaning, and organizing data to ensure its accuracy and reliability.

Thankfully, Power BI takes care of data management for you by integrating and organizing data from multiple sources and automating data transformation so that only accurate and consistent data is used for analysis.

Streamline Pipelines and Centralization

With Power BI, your team no longer needs to email large files or store them in shared drives. Analysts can publish dashboards directly to the platform which all authorized parties will already have access to. This makes reporting and sharing easier and more efficient.

The streamlined data pipelines—automated pathways for data processing—ensure that information is updated in real-time as new data becomes available. This means that decision-makers are always working with the most current information.

Even if your organization uses disparate data systems, Power BI can pull data from all of them into one centralized location. This saves both time and effort and allows you to focus on analysis rather than data management.

Improve Data Security

A survey from Learn G2 reveals that the most challenging issues for self-service business intelligence are data combination (20%) and data security (14%).

The last point already talks about how Power BI solves the issue of data combination. Over to data security.

As powerful as data and information are, they are still sensitive objects that need protection. You want to make sure your business’s data and insights don’t fall into the wrong hands or get deleted by accident. This is what data security is all about and of course, Power BI provides a solution for that as well.  

For example, Power BI allows you to apply the same Microsoft Information Protection sensitivity labels used in tools like Office and SharePoint and role-based access control. These features, among others, make sure that only the right people have access to your company’s confidential data.

Power BI also helps you control who views which reports and dashboards to maintain overall data governance.

Make Good Business Decisions Faster

14 percent of C-suite respondents of a McKinsey  survey say they spend more than 70 percent of their time making decisions.

On average, employees in a business spend more than 30 percent of their working time making decisions.

These statistics show a need to improve the speed of decision-making in businesses.

Power BI not only helps you make business decisions faster but also increases your confidence in those decisions, as they are backed by current data and facts.

Speaking of facts, another survey revealed Data analytics makes decision-making 5x faster for businesses.

Power BI makes this possible by providing a full-spectrum view of all key metrics in one location. You can set specific goals, track progress, and visualize data trends—all from a single dashboard. This allows you to make quick, informed decisions based on real-time insights.

Also, Power BI lets you to customize dashboards and reports so that you can focus on the data and insights that matter most to you.

Many of the robust systems and tools we use today can be seen as functional wholes made up of functional parts.

Power BI is not any different.

In the last chapter, you got to understand that Power BI is this super tool that takes care of all your BI needs. Now, let’s break it down into its key features and benefits to see how each part works together to make Power BI as powerful as it is.

Key Features of Power BI

1.  Data connectivity and integration

 Data connectivity and integration menu in Power BI

Power BI has a feature called ‘Get Data,’ which lets you connect to all the data you want to analyse. Chances are, your data is stored in multiple locations—such as Excel sheets, SQL servers, cloud storage, you name it (list of all supported data sources).

Regardless of where your data sits, Power BI allows you to connect to it and integrate everything in one place so you can easily analyse it all together. You don’t have to jump between platforms or deal with fragmented data sources; everything is centralized and ready for analysis.

2.   Interactive visualizations and dashboards

Data visualisation options in Power BI

Power BI has a variety of visuals, such as bar charts, line graphs, and pie charts, that you can use to present your complex data clearly in a report.

What sets Power BI reports apart from traditional reports is interactivity. Hovering over a visual gives you more information without cluttering the main view. You can click on a data point in one visual and it will filter other visuals on the dashboard to show only relevant information.

This allows you to explore your data from different angles without creating separate reports. For example, if you’re looking at sales by region, clicking on a region will adjust the entire report to show only sales trends, customer demographics or product performance for that area. Being able to drill down and highlight specific details helps you find what you need quicker and makes your decision-making process faster and more effective. It’s like having a conversation with your data – you’re not just looking at numbers, you’re engaging with them to find the story behind the numbers.

You can also build customized dashboards that combine key metrics from various reports. This is done by pinning visuals onto a single dashboard to track important data in one place.

3.   Real-time Analytics Capabilities

Power BI’s real-time analytics feature will be especially useful if your business relies on time-sensitive data for decision-making. For instance, if there’s a sudden spike in sales for a specific product, you can instantly see that change on your dashboard and respond accordingly—whether it’s adjusting marketing strategies or managing stock levels.

This is made possible by a feature in Power BI called Refresh.

Power BI home menu highlighting the refresh button

It keeps your reports up to date with the latest data from your sources. There are a few ways this happens:

  • in Live Connection, Power BI stays connected to your data source so when you interact with your report it pulls in the latest data.
  • Direct Query works similarly, it queries the data source each time you want to see something new so you have the latest insights at your fingertips.
  • Or if you prefer a more scheduled approach, you can set Scheduled Refresh times for your data to update automatically so you can always see the latest.

Real-time analytics allows you to access and analyse data as it happens. You can be assured that you’re making decisions based on the most accurate and timely data and also respond quickly to changing business conditions.

4.   AI-powered Insights

 AI-powered Insights in Power BI

Power BI uses artificial intelligence to enhance data analysis and its self-service capabilities. The Q&A feature lets you ask questions about your data in natural language and then Power BI will generate the right visualizations to answer your questions. This makes it easy for anyone in your organization to gain insights without needing advanced skills.

The AI capabilities also include Quick Insights, which automatically identifies trends and anomalies in your data. Features like the Key Influencers visual highlight the factors affecting your outcomes based on the data provided. This AI integration helps you make faster, smarter decisions based on actionable insights.

5.   Customization Options

Power BI format visuals menu

Power BI lets you customize your reports and dashboards to fit your brand and message.

You can:

  • Customize your visuals by changing the colours, sizes, and layouts to match your company branding.
  • Highlight your key metrics in your company colours or use your logo in reports.
  • Create custom visuals or download ones created by others if the standard visuals don’t meet your needs.

6.   Mobile Accessibility

You can access your reports and dashboards on the go via the Power BI mobile apps for iOS, Android, and Windows. This allows you to view and interact with data from any device. The responsive design automatically adjusts visuals to fit your screen size.

You can set alerts to receive notifications when key metrics reach specific thresholds to stay informed even when you’re away from your desk. With offline access, you can also view previously loaded reports without an internet connection. These features make it easy to stay connected to your data, no matter where you are.

Benefits of Power BI

We’ve covered most of the benefits of Power BI in previous sections and chapter, so now we’re going to look at three final benefits of Power BI that have not been stressed enough.

1. Easy to Use

Power BI starting menu

You do not need to be a data expert with x years of experience to use Power BI to create insightful reports and dashboards. Power BI has an intuitive click-drag-and-drop functionality that can get you started with minimal training. Power BI makes it as simple as ABC to connect to your data sources, create visuals, and generate reports in no time.

2. Cost-Effective


Power BI is a lot less expensive than other business intelligence and analytics solutions. Compared to other business intelligence platforms, Power BI provides a wide range of features and functionalities at only a fraction of the cost.  This is particularly beneficial to small and medium-sized businesses because it allows them to access powerful analytics tools without breaking the bank. With Power BI’s free tier and affordable premium options (pricing will be discussed in more detail in a later chapter), businesses can get the insights they need to make data-driven decisions without the high upfront costs associated with other platforms.

3. Monthly Updates

Power BI is regularly updated with new features that help businesses stay competitive by offering new ways to visualize data, integrate with other tools, and enhance performance. This is one of the reasons why Power BI has been named an analytics and BI leader by Gartner Magic Quadrant for the past 7 years. Using Power BI for your analytics gives you more confidence because you’re sure you’re always working with the most up-to-date tools and capabilities in terms of visualizations, data security, and optimization.

Power BI is built on a set of key components that define how you create, share, and consume insights across your organization.

These components work together to provide flexibility for different roles and technical abilities.

In this chapter, we’re going to look at the four components that make Power BI a complete solution.
Power BI Desktop, as the name implies, is an application software such as Microsoft Excel, or other applications you have installed on your computer. It is your starting point for creating reports and dashboards.

Power BI Desktop

You can install Power BI Desktop by clicking here.

This tool is mostly used by data analysts, business intelligence professionals, or anyone responsible for building and designing reports from scratch. It’s where all the heavy lifting happens—where data modelling, calculations (using DAX), and report building—take place. Once your reports are ready, they can be published to the Power BI Service for wider access across teams or to be embedded in dashboards.

Power BI Service (Cloud-based)

Power BI Service, unlike Power BI Desktop, is a cloud-based platform that you can access via your web browser. Power BI service is ideally where you share and collaborate on reports that you previously created on Power BI Desktop but you can also use it to build reports and dashboards from scratch.

Power BI service brings a lot of benefits that aren’t available in the desktop version.

For one, Power BI Service is now part of a larger data platform called Microsoft Fabric. This means you can manage your data from storage to analysis all in one place.

Fabric helps you handle data engineering, integration, and business intelligence in a single platform. This becomes very beneficial as your data size and complexity grows—your Power BI reports and dashboards will seamlessly work with other data tools. It simplifies your workflow by giving you one environment for all your data needs.

Power BI service provides a simpler interface for business leaders, executives, and teams who need to view reports, track performance, and make data-driven decisions without going too deep into the technical details of report building.

It is the only place where you can create dashboards (a single-page visualization that contains the most important metrics and trends you want to track). You can either create dashboards from scratch or pin key visuals from various reports to it.  

Real-time analytics makes sure your team is always working with the most current data and it’s possible only with Power BI service.

You can manually refresh data in the Power BI desktop but your report must be published to the Power BI service platform if you want to set up automatic data refresh (scheduled refresh) which is the driving force of real-time analytics.

Finally, Power BI Service makes collaboration easy. You can share dashboards and reports across departments, manage user permissions, and implement row-level security so that the right people see the right data.

Power BI Mobile App

Power BI Mobile is simply Power BI in the form of a mobile application. With it, you can access your reports and dashboards on the go, using your smartphone or tablet. Power BI Mobile gives you access to on-premises and cloud data and allows you to view and interact with your data whenever you need it.

You can filter reports, drill down into details, and even receive alerts for key metrics that matter to you. For example, imagine receiving a notification whenever your sales figures dip below a certain threshold. With Power BI Mobile, you can take immediate action by checking the report, drilling into the details, and identifying trends or issues right from your phone.

Power BI mobile makes it possible for you to monitor your business right from your phone and make informed decisions quickly, no matter where you are.

Power BI Report Server

Power BI Report Server is an alternative report-sharing platform for businesses that store data on-premises i.e. for compliance or security reasons.

Power BI Report Server combines the capabilities of Power BI with a secure server environment that lets you publish, manage, and deliver reports internally without relying on the cloud unlike with Power BI Service.

Your sensitive data stays within your organization and you’ll have complete privacy and control. You can create reports in Power BI Desktop and then publish them to the report Server for easy access by your team.

This is useful if your organization requires strict data governance but still wants to take advantage of Power BI reporting conveniences.  

People often use the words ‘report’ and ‘dashboard’ interchangeably when referring to something that looks like this:

Power BI Financial Dashboard

Is this a Power BI Dashboard or Report?

But they are actually quite different.

In this chapter, we’re going to get to the bottom of what sets them apart.

What is a Power BI Report?

Reports in Power BI provide you with detailed data analysis and visualizations on a specific dataset.

For example, the regional sales manager might have a report analysing 5 years of historical sales data including trends by:

  • Each individual product
  • Monthly/Quarterly/Annual sales periods
  • Sales representatives
  • Individual customers & accounts
  • Various regional geographies

The report allows slicing and dicing data with filters, custom visualizations, conditional formatting, and synced slicers across multiple pages of detail charts. This equips the regional sales manager to uncover granular trends, root causes, and opportunities hidden within the data.

Here are some of the benefits of Power BI reports.

  • Multi-page documents with numerous visualizations per page
  • Interactive charts empower drilling into granular data
  • Apply filters, segments, custom visuals specific to business needs
  • Uncover granular insights from large detailed datasets
  • Share findings broadly with colleagues and stakeholders

Reports help your business or teams analyse data more deeply to uncover trends, root causes, and insights to drive continuous improvement. They serve as customizable portals for technical and non-technical users alike to analyse business data.

What is a Power BI Dashboard?

dashboard in Power BI is a single page, often personalized, view that visually tracks key metrics and insights important to an individual or team. Power BI dashboards consolidate high-level visualizations and actionable insights into an interactive canvas.

To create a Power BI dashboard, you will need to import data to it. There are few different ways available to import data. You can either:

  • Manually upload data through an Excel/CSV file.
  • Link Power BI with an online data source such as Google Big Query.
  • Link data available in an application such as QuickBooks.

Here are some of the benefits you can get out of a Power BI dashboard.

  • Single visual interface for at-a-glance insights
  • Consolidate vital company or departmental KPIs from multiple reports and data sources
  • Interactive charts reveal high-level trends and data analysis
  • Auto-refresh metrics pulled from live data sources
  • Alerts proactively notify users of changes or anomalies

Dashboards transform raw data into transparent and actionable business insights. They often serve as the centralized access point for executives and managers to monitor overall company or departmental performance.

Similarities Between Power BI Dashboards and Reports

While dashboards and reports serve different end purposes, Power BI offers a unified experience for building and interacting with both. Below are some of their core similarities:

  • Leverage a common semantic layer to reuse metrics across visualizations
  • Allow basic interactivity like cross-filtering, highlighting, tooltips
  • Offer typical chart types: line charts, bar charts, gauges, cards, etc.
  • Consume and analyse common data sources like SQL Server, Excel, etc.
  • Control user access and share broadly with colleagues
  • Centrally manage datasets, dashboards, and reports in workspaces
  • Publish finalized versions to large audiences like entire organizations
  • Schedule automatic data refreshes and email subscriptions

With Power BI, reusable data models feed consistent metrics into both dashboards and reports. Authors can build and interact with visuals across both using similar core experiences. Any Power BI user can leverage published dashboards and reports to analyse data.

Differences Between Power BI Dashboards and Reports

Despite being similar in many ways, Power BI dashboards and reports serve very different purposes reflected in key differentiation points:

FeatureDashboardsReports
Purpose & AudienceDashboards are designed for executives and managers to monitor company or department health.Reports are built for analysts and frontline users to analyze operational details and improve processes.
Page Length & LayoutDashboards condense key insights onto a single screen for easy viewing.Reports allow for detailed analysis across multiple pages, often containing extensive data.
Visual DetailDashboards track high-level KPIs and performance metrics.Reports show in-depth data patterns and correlations and provide drill-down analysis.
InteractivityDashboards offer limited filters and drill-downs.Reports allow deep customization with slicers, drill-throughs, and conditional formatting.
Data AnalysisDashboards display summarized insights from reports for easy interpretation.Reports enable hands-on data analysis, often driving dashboard insights and improvements.
Power BI Reports vs Dashboards

As you can see, dashboards offer wide but shallow analysis while reports provide narrow but extremely deep data analysis. Reports empower business teams to uncover hidden insights to actually improve organizational KPIs showcased in dashboards over time.

Together, they provide organizational visibility at all levels to drive better decision-making.

How to create a Power BI Dashboard

There are many ways to create a dashboard. For example, you can create a dashboard from a report, from scratch, from a semantic model, or by duplicating an existing dashboard. In this section, you create a quick and easy dashboard that pins visualizations from an existing report.

Step 1: Prepare Your Reports

Start by designing your reports in Power BI Desktop or Service. Make sure the visuals you want to include in your dashboard are well-crafted and convey the insights you wish to showcase.

Power BI Publish Button

If you built your reports in Power BI Desktop, when your reports are ready, publish them to the Power BI Service by selecting the Publish button and choosing your workspace in the Power BI Service.

Step 2: Access Power BI Service

Power BI sign in window

Log in to the Power BI Service using your Microsoft account. Navigate to the workspace where you published your reports. Here, you will see all the reports available to you.

Step 3: Create a New Dashboard

The button to create a Power BI Dashboard

To create a new dashboard, go to the workspace and select Dashboards from the left-hand menu. Click on + Create, then choose Dashboard. Give your dashboard a name that reflects its content or purpose and click Create.

Step 4: Pin Visuals from Reports

Now, you’ll need to pin visuals from your reports to your new dashboard. Open one of the reports you published in Power BI Service. Hover over the visual you want to pin and click the pin icon that appears.

Adding visuals to a Power BI Dashboard

You’ll be prompted to choose which dashboard to pin the visual to—select the dashboard you just created or create a new one directly from this window. Repeat this process for all the visuals you want to include in your dashboard.

Step 5: Arrange Your Dashboard

Once you’ve pinned all the visuals you are interested in, go back to your dashboard. You can now rearrange the visuals by dragging and dropping them to your desired positions. You can also resize each visual to create a layout that best suits your data presentation needs.

Step 6: Customize and Share

You can customize your dashboard by adding titles, text boxes, and images. You can also set alerts on specific visuals to notify you when data changes significantly. Once your dashboard is set up, you can share it with your team or stakeholders so that everyone who needs to access the insights will be able to at any time.

Power BI Dashboard Best Practices

Now that you understand what Power BI dashboards are and how to create them, let’s look at some best practices that can set your dashboards up for success

Keep it simple

Dashboards should focus on the vital few metrics most important for fast and accurate decisions. Too much complexity slows down information absorption. Use reports for deeper analysis.

Put KPIs front and centre

Lead with the most critical company, departmental or individual metrics the audience cares about rather than burying them. Make powering organizational goals the dashboard’s purpose.

Ensure visualizations are easily consumable

Avoid density and clutter. Use basic charts and graphs over complex visuals. Format charts, minimize gridlines, legends, and labels that impede quick analysis. Use white space appropriately.

Focus on exceptions and alerts

Make anomalies, underperformance, or changes easy to spot with simple colour coding, metrics against targets, sparklines showing trends, etc. Alert users to change with indicators.

Link insights to actions

Provide line of sight – linking data insights on dashboards directly to actions users should consider taking within daily workflows. Provide next-step recommendations.

Power BI Report Best Practices

On the other hand, best practices for reports in Power BI focus on enabling interactive analysis for business teams to uncover granular insights. Reports don’t randomly dump data but reveal powerful insights through deliberate designs.

Ask guiding business questions

Create reports to answer pressing business issues. Explore causes of problems and sources of opportunities rather than generic reporting which dilutes meaning.

Structure reports into logical analysis paths

Organize report pages and visualizations in sequences that follow users’ analytical thought processes vs. disconnected charts that leave users lost.

Align metrics across visuals

Use grids and shared axes so different charts reflect common groupings and base measures allowing users compare related metrics apples-to-apples.

Allow customized analysis

Empower report consumers to apply filters, alternate visual types, add metrics etc. to support ad-hoc analysis. Different users can customize views for their context.

Add reader guidance with synced slicers

Help users grasp how filtering certain chart values will change all related data views in reports through synced and high-lighted slicers for each section.

In general, focus on enabling self-service analytics through deliberate report design so business teams uncover granular insights themselves vs. the BI team predetermining analysis.

Examples of Power BI Dashboard

Power BI Balance Sheet Dashboard
Power BI Cash Flow Dashboard
Power BI Clickup Dashboard
Power BI Zoom Dashboard
Power BI Salesforce Dashboard

SEE MORE OF OUR DASHBOARDS HERE

CHAPTER 5Power BI Connectors

The term ‘connector’ generally means a thing that links two or more things together.

So, a Power BI connector is simply what links data sources to the Power BI platform.

In this chapter, you’re going to learn about power BI connectors.

What is a Power BI Connector

Power BI connectors enable the platform to connect to all the different data sources where you have your data stored.

If your sales numbers are in Excel, customer details are stored in Salesforce, and website analytics are in Google Analytics, connectors help you to pull all that information easily into Power BI.

Types of Power BI Connector

Built-in Connectors
Power BI Connector Menu

These are readily available and make connecting to common data sources simple. For example, if you have your data stored in a flat file like CSV format, you can easily select the CSV connector in Power BI to give Power BI access to the data. Built-in connectors are easy to use even for non-technical people.

Third-Party Connectors
What is a Power BI Connector

Third-party connectors are pre-built tools developed by companies outside of Microsoft. These connectors make it easier for you to link Power BI with popular platforms like Salesforce, Google Analytics, or QuickBooks.

Instead of building your own connection from scratch, you can simply use a third-party connector to pull data from these platforms into Power BI for analysis.

Custom Connectors

If your business generates data from software that doesn’t have a built-in or existing third-party connector, you can create a custom connector.

Custom connectors are useful for connecting Power BI to proprietary databases or specialized applications. You may either build a custom connector from scratch (this requires advanced technical skills) or hire a professional to create it for you.

Examples of Power BI Connector

Built-in Connectors
  1. Microsoft Excel
  2. SQL Server
  3. SharePoint List
  4. Azure Blob Storage
  5. Microsoft Access
  6. Dynamics 365
Third-Party Connectors
  1. Salesforce
  2. HubSpot
  3. Zendesk
  4. Mailchimp
  5. Shopify
  6. Stripe
  7. QuickBooks Online
  8. Google Sheets
  9. SurveyMonkey
  10. Intercom

Vidi Corp Custom Power BI Connectors

Vidi Corp Custom Power BI Connectors

Vidi Corp specializes in creating custom connectors that help automate data integration with Power BI.

If you have your data stored in a location that doesn’t connect easily with Power BI or want to visualize data generated from an uncommon source such as social media platforms or niche applications, we can help you out.

We’ve built several custom Power BI connectors that are very optimized and customizable. Let’s have a quick rundown:

QuickBooks Connector

This connector automates syncing financial data from QuickBooks, the popular accounting software for managing invoices, payroll, and expenses, into Power BI for real-time reporting.

ClickUp Connector

The connector pulls task data, workload, work hours, and project timelines from ClickUp project management platform into Power BI for visualization and analysis.

Facebook Ads Connector

The connector automates the extraction of Facebook ad performance metrics and data into Power BI for detailed analysis which saves you cost and allows for more customization.

Zoho Books Connector

Vidi’s Zoho Books connector allows you to automatically connect and consolidate financial data from multiple organizations, store it in your preferred database or data warehouse, and customize the data as needed.

Xero Connector

The connector makes it possible to combine data from multiple Xero companies together in a single dataset and supports Direct Query connection in Power BI for dynamic reporting.

Salesforce Reports Connector

Vidi’s custom Salesforce connector solves major issues involved with the native/ built-in salesforce connector in Power BI. Vidi’s salesforce connector allows you to overcome the 2000 rows limitation imposed by the native connector and supports Direct Query connectivity for real time analytics.

Zoom Webinar Connector

The connector brings in data that allows you analyse all your zoom calls, web meetings as well as the webinar registrants & participants in Power BI.

Jira Connector

Vidi’s Jira connector helps you overcome major limitations posed by other third-party connectors, such as high subscription costs, lack of source code access, and regional unavailability. Vidi’s solution addresses these issues with its custom, flexible connector that allows you to extract custom fields from Jira, with full source code access, and is available globally. Plus, it’s all for a one-time fee.

Shopify Connector

VIDI’s Shopify connector to Power BI enables you to centralize and manage your Shopify data effortlessly, saving time and resources. With it, you can do away with data silos by combining all your Shopify accounts and organizations under one roof.

LinkedIn Ads Connector

The LinkedIn Ads connector allows users to extract data from LinkedIn Ads Campaign Manager into Power BI. It supports multiple LinkedIn Ads accounts and extracts essential data from the LinkedIn Ads API, with options for customization to you’re your specific needs.

Businesses of all sizes love Power BI because of how easy it makes collaboration and sharing of reports.

In this chapter, you’re going to see how to collaborate on and share reports on Power BI.

Publishing Reports to Power BI Service

You can share reports created using Power BI Desktop with your team and other stakeholders by simply publishing that report to Power BI Service which is a cloud environment.

Publishing your reports to the Power BI Service is a straightforward process:

  • Start by opening the Power BI Desktop application where you’ve created your report.
  • Click on the “Publish” button in the Home ribbon.
Publishing Reports to Power BI Service
  • Sign in to your Power BI account if prompted.
  • Select the appropriate workspace where you want to publish your report and click “Select”.
  • Once published, you will receive a confirmation message

Creating and Managing Workspaces

Workspaces in Power BI help you organize your reports, dashboards, and datasets. Follow the steps below to create and manage your first workspace:

Creating a Workspace

  • Go to Power BI Service and sign in.
  • Click on “Workspaces” on the left sidebar.
Power BI Service Workspaces Icon
  • Select “New workspace”.
Power BI workspace menu
  • Enter a name for your workspace and add a description if desired.
  • Set the privacy settings according to your needs (Public or Private) and click “Save”.

Manage Workspace Settings

  • Click on your workspace name to access it.
  • Select “Workspace settings” from the top-right corner.
Power BI Workspace Settings button
  • In the settings, you’ll see options that’ll let you manage your reports and models.

Sharing Dashboards and Reports

  • Go to your workspace and click on the 3 dots […] associated with the report or dashboard you want to share.
  • Select the “Share” option in the menu that comes up.
A button for sharing Power BI Dashboards
  • Enter the email addresses of the people you want to share it with
Power BI menu for adding emails for sharing reports
  • Choose whether to allow recipients to share the report or dashboard with others.
  • Click “Send” to share.

P.S. You can also copy the link to share with others or publish to the web for wider access (publishing to the web makes your report public).

Implementing Row-Level Security

Row-level security (RLS) allows you to restrict data access for specific users based on their roles. Follow the steps below to set up RLS.

Phase 1: In Power BI Desktop

  • Go to “Modelling” in Power BI Desktop.
  • Click on “Manage Roles”.
Power BI button for managing roles
  • Create a new role by clicking on “Create”. Define a name for the role (e.g., “Sales Team”).
  • Select the table(s) you’re working with
  • Set the rules for the role by defining filters on the relevant tables.
Steps to create a security role in Power BI

Not all row-level security filters supported in Power BI can be defined using the default editor. In some cases, you may need to define roles using the DAX editor.

  • After defining the roles, click on save.

Phase 2: In Power BI Service

You can’t assign users to a role within Power BI Desktop. You assign them in the Power BI service.

At advanced level, you can enable dynamic security within Power BI Desktop by making use of the username() or userprincipalname() DAX functions and having the proper relationships configured.

For this guide, we’ll focus on assigning users to role in Power BI Service

  • In Power BI Service, click on the more options menu attached to the semantic model of your report.
  • Click on “Security”.
Power BI Security tab
  • Select the role you created and add the email addresses of users who should have access to that role.

P.S.It’s a good practice to test the RLS settings. In Power BI Desktop, you can use the “View as Role” option to see how the data appears for different users.

If you’ve decided to use Power BI for your business intelligence needs then you have to understand the different licensing and pricing options available.

Power BI has several plans to suit businesses of different sizes, structures, and needs.

In this chapter, we’ll break down the pricing and licensing options, so you can choose the best one for your business and make the most of Power BI.

Power BI Licensing and Pricing

Free Account

With the free account, you can use Power BI to connect to your data and create reports for your personal use. However, you won’t be able to share your reports with colleagues or collaborate on them. It’s a good starting point if you’re doing solo analysis or just exploring the platform.

If your organization has Pro or Premium Per User (PPU) licenses, you’ll still be able to view and interact with content in shared workspaces, even with a free account, as long as the workspaces are hosted in Premium capacity.

Power BI Pro

The Pro license is ideal for users who need to collaborate and share insights. It’s a per-user plan that allows you to create, share, and collaborate on reports and dashboards with your team. You’ll also be able to publish content to other people’s workspaces, making it a great choice if you’re part of a team or need to distribute reports across the organization.

Power BI Premium Per User (PPU)

The Premium Per User plan is designed for more advanced needs. It includes all the benefits of the Pro license but adds powerful features like advanced AI tools, larger data models (up to 100 GB per model), and up to 48 data refreshes per day. You’ll also have access to advanced dataflows and datasets, making it perfect for organizations that deal with complex data or need enhanced performance and capabilities. Additionally, you can share your reports with people who don’t have Pro or PPU licenses, as long as they’re part of a Premium workspace.

Power BI Embedded

With Power BI Embedded, you can integrate Power BI reports directly into your applications. This plan is ideal if you’re looking to provide BI functionality to your customers through your app or website. It includes many of the same features as the Premium plan but gives you the flexibility to customize your setup based on your app’s requirements.

Comparing features across license types

The table below shows how different licenses vary in terms of their features:

Power BI features for every license type

Report optimization in Power BI involves improving the load speed of the visuals and the refresh time of the reports.

There are various techniques and best practices you can adopt to enhance the loading time, responsiveness, and overall user experience of your Power BI reports.

In this chapter, we’ll be tackling all of them.

Data Modelling Optimisation

This involves designing an efficient and optimized data model by reducing unnecessary relationships, removing redundant tables or columns, and optimizing data types and cardinality. A well-designed data model can significantly improve report performance. Let’s see in more details how to optimize your data model:

1.   Simplify data models

Data models should be simple and well-organised.

Reduce the number of tables and relationships between the tables to improve performance.

Star Schema is recommended for the data model over any other schema.

2.   Avoid bidirectional relationships

Cardinality and cross-filter directions are important aspects of any data model.

Many to Many cardinality and Bi-directional filters should be avoided for better performance.

3.   Use the right data types

Choose appropriate data types for columns to reduce memory consumption and improve performance.

Usually, Power BI auto detects the correct data types but it should be checked and changed accordingly for every relevant column to improve the performance.

Consider changing the data type from Date/Time to Date. When the data type is set to Date/Time, Power BI will automatically produce a small calendar table in the background including Month, Quarter and Year. When you change the data type to Date, the background table will not be produced.

4.   Remove unnecessary columns

Remove or hide unnecessary columns from the data set. It will lead to lower memory consumption and will improve the performance of the report.

The column can be removed from Power Query before loading the data to the data view or can be hidden by right-clicking on it.

Query Optimisation

Power BI queries data from the underlying data sources to populate the visualisations in the report. Optimising the queries can involve reducing unnecessary columns, filtering data at the source, and using query folding to push data transformation steps back to the data source.

Query folding

Query folding in Power BI is a technique used to optimize query performance by pushing data transformation steps back to the data source. When query folding is achieved, Power BI sends a modified query to the data source, which performs the required transformations and returns the results to Power BI.

Reduce unnecessary data loading

This is also another important method to optimize your report. You can disable loading the table if you are not planning to use it as a dimension or a fact table. This is commonly done for tables that are used for merge or append functions.

Assume you have 3 tables loaded to Power BI and have appended these tables into a single table. If you load all the tables into the model, it creates redundancy, which increases the model’s size and makes it less efficient. So, instead, you should disable the load of these tables and load only the final appended table to the data view.

How to enable or disable a load:

  1. Go to Power Query.
  2. Right-click on the table.
  3. Uncheck enable mode option to disable it.
  4. Loading Data
  5. Power BI will not load the selected table to the data view.

Report Design Optimisation

Designing an efficient and user-friendly report layout is crucial for optimising user experience. This involves organising visuals, using appropriate visuals for the data, minimising the use of custom visuals, and optimising colours, fonts, and other design elements. Some best practices:

1.   Limit visuals and elements

Minimise the number of visuals and elements on a report page to improve rendering and interaction performance.

2.   Use slicers wisely

Avoid using too many slicers on a page as each slicer can impact performance.

3.   Optimise visuals

Use appropriate visual types, reduce unnecessary formatting, and avoid complex visual interactions to improve rendering performance.

Performance Monitoring & Optimisation

Regularly monitoring the performance of your Power BI reports and conducting performance testing can help identify bottlenecks and areas for improvement.

Use Performance Analyzer

Power BI Performance Analyser Icon

Utilize Power BI’s Performance Analyzer tool to identify and troubleshoot performance bottlenecks.

Monitor query performance

 Keep track of query execution times and identify slow-running queries to optimise them.

Utilise usage metrics

Analyse usage metrics and identify reports or visuals that are causing performance issues.

Optimise data refresh

Schedule data refresh during off-peak hours and optimise queries used in data refresh operations.

Hardware & Environment Optimisation

This involves optimising the infrastructure and settings to ensure the best performance and user experience.

Optimise Power BI Gateway

Configure and optimise the Power BI Gateway for efficient data transfer between on-premises and cloud-based data sources.

Scale resources

Allocate appropriate resources to Power BI, including CPU, memory, and disk, to handle the workload efficiently.

Consider DirectQuery or Live Connection

If feasible, use DirectQuery or Live Connection instead of importing data to reduce memory consumption and improve performance.

So far, you’ve learnt a lot about Power BI, its benefits, core components and capabilities.

Now, you’re going to see real-world examples of how Power BI has transformed businesses and operations in recent times.

P.S. The case studies featured in this chapter are projects completed by Vidi Corp, a top Power BI consultancy firm.

If you’re pondering how Power BI could improve your own business operations, feel free to reach out for custom solutions that meet your unique needs.

SAP Power BI Dashboards for a Head of Strategy

SAP Power BI Strategy Dashboard

The Business Case:

A public manufacturing company needed help migrating a set of 8 manual excel reports into Power BI as part of the company-wide shift away from using spreadsheets for reporting.

The outcome:

The turnover page highlighted the YoY growth for the company’s product portfolio. The top 8 and bottom 8 products by YoY growth were identified and sent to the management for a more detailed discussion. The YoY growth by supplier enabled more insights to manage supplier relationships and the insights on YoY growth by region analysis supported regional growth strategy.

You can read more about this case here

Sales Pipeline Dashboards for a Global Marketing Director

Power BI Salesforce Dashboard

The Business Case:

A global company with 400k+ employees needed help automating reporting from Salesforce, Webeo and LinkedIn Ads. It used to take them 6 hours of manual work per report refresh and they wanted to refresh this report on a daily basis.

The outcome:

Vidi Corp built a Power BI dashboard using data from Salesforce, LinkedIn Ads, and Webeo that had the following outcomes:

  • The time needed to refresh the reports went from 6 hours to 0 as a result of the data extraction and data transformation automation.
  • The user-friendly and visually appealing Power BI dashboard helped effectively communicate the value that the marketing department was bringing to the company in every region.
  • The dashboard was used to optimise the marketing efforts since problematic lead channels in every country were identified through the dashboard

    You can read more about this case here

ClickUp (Project Management) Power BI Dashboard

ClickUp (Project Management) Power BI Dashboard

The Business Case:

Businesses that use ClickUp for project management and task tracking need a dashboard that shows a clear view of the team’s workload and project progress.

The outcome:

The dashboard allows you to more efficiently:

  • Track the status (completed, in review, in progress, etc) of the different tasks in your workspaces.
  • Measure how well or how much you’re utilizing your human resources based on their work hours.

This streamlines project management further and leads to an increased rate of project completion.

You can read more about this case here

Financial Analysis for Automators

Power bi financial analysis dashboard

The Business Case:

One of the Automators partners needed a report that would analyse financial health of the business. The goal was to use this report for presentation to other partners, review financial results and trends.

The outcome:

Vidi Corp delivered an easy-to-digest dashboard by connecting to the company’s data stored in MySQL and Sharepoint lists. They achieved a better understanding of financial sustainability which helped the partners track performance metrics, predict trends, and make informed decisions for future investments.

You can read more about this case here

Analysing the User-base of an App

Power BI Product analysis

The Business Case:

The CEO of a SaaS company in the UK targeting GPs wanted to answer several questions about the user-base of their app.

The outcome:

The dashboard Vidi Corp delivered answered the following questions using real time data on the company’s customers:
– Distribution of users by age and gender

– How many hours GPs work per week

– How much do GPs charge per hour

– How many sessions on average GPs have per month

– How many active subscriptions the app has

– What is average conversion rate from free trial to paid subscription

You can read more about this case here

Report Embedded to an App

Power BI Business Analysis

The Business Case:

A SaaS company that deals with educational institutions like schools and universitiesneeded a Power BI report that they could embed to their SaaS application and show to their clients the analysis for attendance of the students.

The outcome:

A Power BI embedded report that shows a detailed analysis of student attendance and absence, with information about the number of app installations by gender and location and insights on both group and individual levels that show attendance patterns. There’s also an option for data export to Excel.

You can read more about this case here

How to Choose the Right Power BI Consultancy

Power BI is easy to use, but gaining the highest ROI on any Power BI investment is not as straightforward.

That’s why it’s good practice to contact eligible Power BI consultants before and while embarking on your BI journey.

Without the right guidance, you could end up using Power BI all wrong – in the most unoptimized, inefficient, and time-consuming way possible.

This can slow down your decision-making process or even lead to missed insights and wasted resources. Consultancy helps avoid these pitfalls and that’s why you should consider hiring one.

In this chapter, we’ll walk you through how to choose the right Power BI consultancy for your business.

The Role of a Power BI Consultant

To understand the role of a Power BI consultant, you need to be familiar with the entire data analytics process. Once you understand the process, it becomes easier to identify which tasks are aimed at each stage of the process.

Data analytics process

The Role of a Power BI Consultant
  • Define business questions 

This stage is for a Power BI consultant to understand business problems that need to be solved. During this step all the expectations and goals from customers are set and discussed. In order to get clear objections, a document with all business questions will be created including business questions that need to be answered, formulas to answer these questions and a suggested data visualization method for every question.

  • Data collection

The next step is gathering relevant data from different data sources such as CRMs, ERPs or external databases. Data collection can be done either manually or automatically via Power BI connectors

  • Data cleaning and preprocessing

This stage is one of the most important and challenging parts of the data analytics process. It is crucial to clean the collected data in order to ensure that analysis will be unbiased. During the Data cleaning stage all inaccuracies, duplicates and irrelevance are identified. 

  • Data modelling

After the data is cleaned, consultants design data models that organize different datasets to perform efficient analysis. During this phase, the connections between data points are established. The most widely used tools for data calculations are SQL and Excel.

  • Data visualization

This is the key step to visualize complex data in an easier and user-friendly format using graphs, charts, tables etc. Power BI developers create intuitive and visually appealing dashboards that present data in a way that is easy for non-technical users to get insights from. 

  • Data analysis

After data is visualized, consultants help customers to analyse trends and patterns that will be used in the decision-making process. This is the process of interpretation of the data visualisation inside of a dashboard. This includes identifying trends, comparing performance across different time periods or analysing customer behaviour patterns.

  •  Acting based on the insights

The final step is to deploy the insights derived from data analysis. Customers then implement strategies based on data findings. For instance, optimizing marketing campaigns, improving product offerings, or adjusting operational processes.

The tasks of a Power BI consultant 

In big organizations, different steps of the data analytics process would be performed by different team members with different specializations. A business analyst would work on identifying business questions and the necessary data to answer them. A data engineer would work on automating the data extraction, cleaning, and pre-processing. A data analyst would work on the data modelling and visualisation. Finally, the senior management would analyse what the data visualisation is saying and act based on the insights.

But in SMBs, a single Power BI consultant often handles all of these tasks and provides a full-service solution. The key tasks that a Power BI consultant performs are:

  1. Defining the KPIs

KPIs are performance indicators that show how effectively a company achieves its long-term objectives. A power BI consultant helps businesses to define clear KPIs. For instance, KPIs can include sales growth, customer retention rate, employee turnover etc.

A Power BI consultant would help the client to identify KPIs, the data to calculate those KPIs and also the most effective way to visualise them. This case study is a good example of how a Power BI consultant would help with this process.

2. Connecting to data 

Power BI offers a range of ready-made connectors that make it easy to pull in data from different data sources. But in some cases, Power BI consultants may need to develop custom Power Bi connectors that automatically extracts data from databases API.

Examples of data sources that require custom connectors include ClickUp, Jira, Quickbooks etc. Automatic data integration is crucial for a smooth analysis process as it reduces the maintenance workload. Here are examples of custom Power BI connectors for different data sources

3. Data cleaning and modelling using Power Query 

Power Query is a data extraction, transformation and loading (ETL) tool inside of Power BI that is used to automate data processing. Power BI consultants use this tool to clean, filter data and bring it to a convenient format to work with. During this stage, a consultant ensures the quality and speed of Power BI reports through only loading the necessary data. 

4. Dashboard creation in Power BI

Once the data is ready, the next step is to develop a dashboard that will provide real-time insights, allowing businesses to monitor its performance. Power BI consultants use different bars and charts to ensure that a report is developed in a clear and visually appealing way. Consultants then design every part of a dashboard such as filter menu, navigation menu, a line of cards and a block of data visualisations to accurately reflect data trends and patterns. You can learn more about the process for creating these charts here.

5. Interpreting the results 

Power BI consultants also help in interpreting the results. Consultants usually schedule a call with the client to discuss results and all the limitations of the dashboard. Sometimes additional analysis is required after such meetings. All parts of the completed analysis are critically evaluated. 

6. Maintenance and continuous improvement of the report

Power BI consultants provide ongoing maintenance and support, ensuring the dashboards are updated as new data sources are added, business needs or data format change. It is vital that the report will answer business questions over time, not just once. 

How to Choose the Right Power BI Consultant for Your Business

When hiring a Power BI consultant, you may typically look for one of these 3 things:

Cost-Effectiveness

If you know what dashboard you need to produce and what data you need to use as a client, there is nothing wrong with hiring for cost-effectiveness. In this scenario, you would have a good understanding of your problem, and you would know how to solve it, all you are missing is the technical know-how.

There are a few ways to test the technical know-how:

  • Microsoft certification such as PL 300
  • Any portfolio pieces demonstrating the knowledge of DAX and data modelling.
  • Specific experience – as a client you may know your problem but may not know exactly know how to solve it.

Specialized Expertise

  • In this scenario, you understand the problem you need to solve, but lack the specific experience to execute it effectively.
  • You’re looking for a consultant with a proven track record of solving similar challenges, particularly related to your data sources and visualization needs.
  • Key things to look for in a consultant for this type of project:
    • Demonstrated experience with your specific data sources (e.g., Salesforce, SAP, Xero)
    • A portfolio showcasing well-designed dashboards and reports
    • Positive reviews and testimonials from previous clients

Intelligence

 As a client you know what your problem is but you can’t scope a project based on it. As a result the project scope is open-ended and you need a consultant to step it and help you define it.

Evaluating Potential Power BI Consultants

Now that you have a better understanding of the different types of consulting needs, let’s dive into the key factors to consider when evaluating potential Power BI consultants.

Technical Expertise

Regardless of the type of project, it’s essential to ensure that the consultant you choose has the necessary technical skills and certifications in Power BI. Look for:

  • Professional certification from Microsoft, which demonstrates their expertise in the platform
  • Years of hands-on experience working with Power BI, with a focus on the depth and intensity of their work rather than just the number of years
  • A portfolio of past projects that showcase their technical abilities and problem-solving skills

Specialized Experience

If you’re looking for a consultant with specific expertise, such as working with particular data sources or creating visually appealing dashboards, be sure to thoroughly vet their experience in these areas. Look for:

  • A track record of successfully completing projects with your data sources (e.g., Salesforce, SAP, Xero)
  • A portfolio that demonstrates their ability to design and develop visually stunning and user-friendly Power BI reports and dashboards
  • Positive reviews and testimonials from previous clients who have benefited from the consultant’s specialized expertise

Problem-Solving and Strategic Thinking

For more complex, open-ended projects, you’ll want a consultant who can think creatively and strategically to help you define the right KPIs and develop a custom solution. Look for:

  • Experience working with enterprise-level clients on projects with an undefined scope
  • Demonstrated ability to quickly understand the problem and provide thoughtful, strategic recommendations
  • Expertise in business analytics and helping clients identify the most relevant KPIs to measure success
  • A structured approach to documenting the business questions, formulas, and visualization choices to address the client’s needs

Putting It All Together: Selecting the Right Power BI Consultant

Now that you have a better understanding of the different types of Power BI consulting needs and the key factors to consider, let’s walk through the process of selecting the right consultant for your specific project.

Step 1: Identify Your Consulting Needs

Start by clearly defining the type of consulting you require. Is it a cost-effective solution, specialized expertise, or an intelligent, custom-tailored approach? Understanding your specific needs will help you narrow down the pool of potential consultants and ensure you find the best fit.

Step 2: Evaluate Candidate Consultants

Once you’ve identified your consulting needs, begin researching and evaluating potential Power BI consultants. Review their technical certifications, years of experience, portfolio of past projects, and any relevant specialized expertise. For more complex projects, pay close attention to their problem-solving abilities and strategic thinking skills.

Step 3: Assess Fit and Compatibility

After shortlisting a few promising candidates, schedule interviews or consultations to assess their fit and compatibility with your project. Pay attention to their communication style, responsiveness, and ability to understand your specific challenges. A good consultant should be able to quickly grasp the problem and provide valuable insights.

Step 4: Check References and Reviews

Before making your final decision, be sure to check references and read reviews from the consultant’s previous clients. This will give you a better understanding of their reliability, professionalism, and the quality of their work.

Step 5: Make Your Selection

Considering all the factors you’ve evaluated, make your selection of the Power BI consultant who best fits your needs. Remember, the right consultant can make a significant impact on the success of your Power BI project, so take the time to find the perfect match.

In this chapter, you’re going to learn about some more important Power BI features that you’ll surely encounter if you plan on using Power BI for advanced data analytics and reporting.

Bookmarks

Power BI bookmarks icon

Power BI’s bookmark feature allows you to save the current state of your report pages, including the changes you made to filters, slicers, and visuals on that page. 

Think of bookmarks as snapshots of your report at a specific moment, which you can quickly navigate back to i.e. during presentations or when sharing insights with your team.

For instance, suppose you’re analysing sales performance across different regions. You might create a bookmark that shows the report filtered to display only the data for the North region. Later, when you want to switch back to the overall view, you simply click on the bookmark. This makes it easy to guide your audience through the data without having to redo filters or navigate manually.

Drillthrough

Drillthrough is another captivating feature that lets you explore data in greater detail by navigating from one report page to another. It’s a great way to provide more context or insights about specific data points without cluttering your main report page.

Let’s use the sales performance report as an example again. By right-clicking on a specific region’s sales figure, you can access a drillthrough page (which you’ll have previously created and indicated as a drillthrough page) for that region. This page might include more detailed analytics, such as customer demographics, sales trends, and feedback related to that area.

Drilldown

Drilldown is similar to drillthrough but focuses on hierarchical data. It allows you to navigate from higher-level data to more granular data points. This feature is useful if your business deals with hierarchical structures, like sales data categorized by year, quarter, month, and day.

Imagine you’re looking at annual sales figures presented in a bar chart. If you want to understand how those figures break down by quarter, you can click on the annual bar, and Power BI will expand it to show the quarterly data. This way, you can easily transition from a summary view to detailed insights.

DAX (Data Analysis Expressions)

DAX is the formula language in Power BI that allows you to create custom calculations and aggregations for your data. You can use DAX to build complex measures that enhance your data analysis capabilities. It’s a lot like Excel formulas, just designed specifically for data modelling in Power BI.

You might use DAX in situations where you might want to calculate aggregate values like Year-to-Date (YTD) sales, percentage growth, profit margins, or customer retention rates.

The great thing about using DAX for these calculations is that they are dynamic. This means that as new data comes in or as you apply filters to your reports, DAX automatically updates the calculated values to reflect the most current information

Power Query/M

Power Query, before recently, was only available in the Power BI Desktop. It’s one of the most popular and important features of power BI. It allows you to connect, combine, and transform data from various sources.

The Power Query editor uses a formula language called M, which lets you clean and shape your data before it gets loaded into your reports.

You can perform operations like removing unnecessary columns, changing data types, merging tables, and so on with Power Query and M.

Microsoft Power BI, although the most widely-used, is not the only business intelligence solution out there.

There are several others like Tableau, Looker Studio (formerly called Google Data Studio), QlikView, and Salesforce.

In this chapter, we’re going to juxtapose all these solutions so you can see which one best fits your business needs.

Power BITableauSalesforce (Einstein Analytics)Looker StudioQlikView
PricingAffordable, starting at $10/user/month (Pro)High, starting at $70/user/monthIntegrated with Salesforce pricing (high cost)Free for Looker Studio; Looker (enterprise) starts at $30/user/monthMid-range, customizable pricing models
Business NeedsGreat for SMBs and enterprise; strong Microsoft integrationWell-suited for enterprises, especially for complex visualizationsIdeal for businesses using Salesforce CRMBest for businesses on a budget with moderate needsSuitable for large enterprises needing real-time data analysis
User InterfaceUser-friendly, Excel-like, drag-and-dropIntuitive but steep learning curve for advanced useSeamless integration within Salesforce UIClean UI but requires some technical knowledgeOlder UI but highly customizable
CollaborationIntegrates well with Microsoft Teams, SharePointGood sharing and collaboration optionsBest collaboration within Salesforce ecosystemGood collaboration within Google ecosystemStrong collaboration tools within enterprise environments
Cloud IntegrationFully integrated with Azure, OneDrive, SharePointCloud-first, with support for on-premise optionsCloud-based, tightly integrated with Salesforce CloudCloud-based with deep Google Cloud integrationSupports both cloud and on-premise solutions
AI & Advanced AnalyticsAI features like Q&A, AI InsightsFeatures like Explain Data, Ask Data for AIAI-driven analytics powered by Einstein AIBasic AI capabilities (Looker Studio lacks robust AI)Real-time AI analytics and predictive modeling available
CustomizationSupports DAX, Power Query, and extensive customizationHigh customization through Tableau Prep, APIsCustomizable within Salesforce but limited outsideCustom dashboards, deep integration with codingHighly customizable but requires technical expertise
Mobile AccessFull mobile support; apps for all devicesRobust mobile app, full interactivityIntegrated with Salesforce mobile appsMobile-friendly reports and Google apps integrationMobile app available, responsive design
Learning CurveEasy for Excel users, moderate for advanced featuresSteep learning curve for non-technical usersEasy for Salesforce users, harder for othersEasy for beginners, but advanced features require coding skillsModerate, interface can feel outdated
Data Source ConnectivityHundreds of connectors (Excel, SQL, Azure, etc.)Strong with Big Data, Hadoop, cloud storage optionsTied to Salesforce but supports external sourcesConnects well with Google services and other databasesExtensive data connectors, strong real-time integration
Community & SupportLarge user community, robust online resourcesStrong community and third-party supportExcellent support for Salesforce usersLimited community for Looker Studio, strong Google support for enterprise versionLarge community, support tends to favor enterprise users
Embedded AnalyticsStrong embedding options, with Power BI EmbeddedAvailable with extra configurationFully supports embedded analytics for Salesforce appsLimited in Looker Studio, available in Looker (enterprise)Supports embedded analytics for enterprise apps
Data PreparationPower Query simplifies data preparationTableau Prep offers powerful data transformation toolsLimited data prep, mainly designed for CRM insightsBasic data preparation in Looker Studio, more advanced in enterpriseStrong data transformation tools, real-time preparation
On-Premise DeploymentAvailable through Power BI Report ServerAvailable, but focus is cloud-firstNot available, fully cloud-basedNot available, fully cloud-basedAvailable, strong support for on-premise environments
Power BI vs Competitors

Conclusion

As you finish up this Ultimate guide to Power BI, you can see this is more than just a tool; it’s a key to transforming your business intelligence and becoming a data-driven organization.

The beauty of Power BI is it’s always evolving. Microsoft is constantly adding features and developments that make it easier for you to get insights from your data.

In the coming years, the demand for business intelligence tools like Power BI will skyrocket.

According to recent studies, the global business intelligence market is expected to grow by 30% by 2026. This growth is because of the increasing reliance on data analytics to guide business strategy.

By investing in Power BI now, you’re putting yourself and your organization ahead of the curve.

Remember the more you use these insights the better you’ll be equipped to navigate the complexities of today’s business world.