TLDR: Power BI is a powerful, flexible, and accessible Business Intelligence (BI) tool that can democratise data for businesses of all sizes. While it excels at creating visual dashboards and generating insights, it's not a one-size-all solution. This guide will help you understand its strengths, limitations, and how to determine if it aligns with your specific business goals and data strategy.
Author Bio
Leon Kong was a Senior Consultant at Agile, specialising in modern data platform development and advanced data visualisation before moving to Delottie as an associate director for AI & data. With a background that spans data warehousing, cloud technologies, and data science, Leon helps clients across various industries transform complex data into clear, actionable insights. He is an expert in leveraging tools like Power BI to build robust, scalable analytics solutions that empower business users to make data-driven decisions. Leon's pragmatic approach ensures that technology solutions are always aligned with an organisation’s strategic objectives, delivering tangible business value.
The Rise of Self-Service Business Intelligence
For years, Business Intelligence (BI) was a complex, siloed function managed by technical experts. But with the democratisation of data and the advent of user-friendly tools, BI has moved from a technical department to the hands of business users. This shift has been driven by tools like Microsoft Power BI, which has become a market leader for its accessibility and powerful features.
The question for many business leaders is no longer "What is BI?" but rather, "Is Power BI the right BI solution for our business?"
Understanding Power BI’s Core Strengths
Power BI is not just a dashboarding tool; it's an end-to-end analytics platform that integrates seamlessly with the Microsoft ecosystem. Here’s why it has become so popular:
- Power BI's user interface is intuitive, making it relatively easy for business users to create interactive reports and dashboards without extensive technical knowledge. It has a low barrier to entry for basic analytics.
- Power BI can connect to hundreds of data sources, from Excel spreadsheets and SQL databases to cloud services like Salesforce, Google Analytics, and Azure. This flexibility makes it a powerful tool for unifying disparate data.
- At its core, Power BI uses a powerful data modelling language called Data Analysis Expressions (DAX). While it has a learning curve, DAX enables the creation of complex calculations and business logic, giving users deep control over their data.
- Power BI offers a free desktop version and a Pro license at a competitive price point, making it an attractive option for small to medium-sized businesses and large enterprises alike.
When Is Power BI the Right Choice?
Power BI is a great fit if your business:
- Is heavily invested in the Microsoft ecosystem (Azure, Office 365, Teams).
- Needs to quickly empower business users with self-service analytics capabilities.
- Has a defined business case and a clear idea of the questions you want to answer with your data.
- Is willing to invest in a robust data strategy and data governance to ensure the integrity of the data being used.
Why Review Your Existing Infrastructure Architecture Before Switching to Power BI
For many businesses Power BI seems like the cost-effective, silver bullet solution for their business analytics requirements. But for too many, without the right guidance and expertise it can cause more problems than it solves. Because it’s not just a question of Power BI analytics. It’s a question of architecture too.
Power BI is not a single, simple choice. There are actually three different ways Power BI can influence the type of capability you have, based on your current infrastructure architecture. When connecting to your data sources, you might find your architecture won’t support or ultimately won’t meet your requirements, and you could find yourself saddled with unplanned development cost, slower performance, fewer capabilities, paying for capabilities you don’t need, excessive ongoing costs – or all five.
All Power BI users want basically the same thing; to work with their data for analysis, insight and visualisation. But not all users have to take the same route. Everything depends on the scale of their data, its sources, and their existing estate. If the quantity of data you usually work with is relatively low, then “Import” (also known as “Get Data”) may be the most appropriate Power BI connection for you. It has a 1GB dataset limit on disk (or a Pro Power BI limit of 10GB) but – because it imports a copy of the data into the Power BI desktop to work on locally – it’s extremely fast.
How Flexibility is Power BI?
It’s also flexible. You can import data from any and all sources (Excel, SharePoint, SQL Server etc.), combine it however you need to, and use the full capabilities of the Power BI Desktop to manipulate it in any way you want.
But if you need to be able to handle larger datasets, or your data is updated more frequently than a standard refresh will accommodate, then Import won’t meet your needs. But “Direct Query” might.
Instead of importing the data to your Power BI Desktop, Direct Query leaves the data at the source and simply sends queries to it. This means there’s no limit on the amount of data you can work with, and because your data remains at the source it can be continually updated. Even so, it’s not perfect.
Performance can be slow, especially if your data source isn’t set up to handle Direct Query. That means you may need to completely change the structure of your data. You may also need to optimise your data – by pre-filtering or placing a limit on visuals – to increase performance speed. And whatever you do to try to boost performance, you’ll only ever be able to use a limited range of data sources, as not all support Direct Query.
Live Connection on Power BI
“Live Connection” is your third option for connecting Power BI to your data sources.
If your organisation already has a multi-dimensional or tabular model, then this is the quickest and easiest answer (it should be noted that the tabular cubes model does support import and live connection). Simply connect Power BI and you’re ready to go. It’s ideal for really, really large models as there’s absolutely no data limit. But of course, there are downsides.
Firstly, there’s the limited number of data sources which support Live Connection – and they are all a type of SQL Server Analysis Services. Secondly, there’s the fact that all Power BI data preparation features are turned off, under the assumption that this is all done on the server supporting the model. Which means you’re left with Power BI as nothing more than an analytical visualisation tool.
So Live Connection is really only a sensible choice for IT and enterprise applications looking for assured qualified data.
As you can see, choosing your Power BI connection isn’t straightforward. Your decision can have an impact not only on your business intelligence and analytics performance, but also on your licensing arrangements, your costs, and even on data governance. There’s also the consideration of how you set-up your Power BI Gateway. And if you opt for a cloud solution, you will need to manage cloud tenancy too.
Even if you simply subscribe to Power BI as part of Office 365, it can have unforeseen and costly consequences. We have seen many clients start out with a blank canvas and without fully understanding the implications, only to be laden with capability issues forcing them to upgrade some of their users from Power BI licences to Pro Licences and increasing their costs. This has then led to collaboration issues, forcing them to subscribe to Power BI Premium cloud services, with even greater cost implications.
With the right advice from the start, they could almost certainly have found a better planned, more cost-effective solution, delivered far faster.
Power BI Is More Than Just a Tool
Power BI is a powerful enabler of data-driven decision-making, but it is not a magic solution. Its success in your organisation hinges on a strong foundation of clean, reliable data and a clear understanding of your business goals. By treating Power BI as part of a wider data management strategy, you can harness its full potential to drive tangible business value and create a data culture that delivers continuous insight.
Recommended Reading
Data Fabric vs. Data Mesh: Which is Right for Your Business?
Power BI relies on a strong data architecture to provide accurate insights. But with a sea of modern data architectures, which one should you choose? This article dives into the key differences between Data Fabric and Data Mesh, helping you understand whether a technology-driven or a cultural, decentralised approach is best for your organisation. This is the crucial next step in your data journey after choosing a BI tool.
So, if you think Power BI is the solution you’re looking for but there are many more questions you need to ask, get in touch and talk to us.