While the Salesforce acquisition of Tableau garnered everyone’s attention on the 10th of this month, there was another news on the same day that went completely unnoticed. Rival tool Power BI by Microsoft had announced a slew of changes to the features including new AI capabilities.
Power BI has long been seen as a formidable force in the self-service BI space, leaving a slew of other tools behind in terms of adoption. Yet, it was still regarded as a laggard in the leading tools in the industry – Tableau & Qlik. One big reason quoted by analysts for able to surpass the 2 giants is how relatively new this tool is.
A bit of history
Power BI, though in works since 2010, was officially released to the general public only in 2015. By 2015, BI space had already matured well. There were at least 100 players in this space if not less, trying to get a piece of the industry that was growing and shown great response. Tableau itself was founded almost a decade earlier in 2003. So, in that regard, Power BI was a very late entrant to the market.
What worked for Power BI
Power BI worked because of Microsoft, or more specifically because of Microsoft Office. Excel has been the bread and butter for all data analysis job since the beginning of the century. Even data analysts that adopted a self-service BI tool still used Excel for a myriad of work. In fact, a BI tool came into the picture when the current requirements of an organization far exceeded the capabilities of Excel.
This is where Microsoft saw a space to expand its capabilities. Almost a decade back, Microsoft had another tool that made reporting easier for enterprises – SQL Server Reporting Services (SSRS). Though widely accepted, the tool lacked top-of-the-line functionality of Tableau and Qlik, that was gaining prominence in the market, primarily due to their self-service capabilities.
What Microsoft needed was something in between SSRS & Excel, a combination of database querying capabilities and an interface to visualize that data. So initially, Power BI was a pack of plugins for Excel that offered a string of features like database connectivity and enterprise security. It was later introduced as a standalone product in 2015.
Power BI quickly gained prominence, primarily due to the following reasons:
- Microsoft offered a free version that had some curtailed features but worked great for most requirements for data analysts. Compare that to a 14-day trial version for tableau, most analysts started moving to Power BI
- Even with a paid version, Power BI was cheaper than Tableau; by some accounts almost 10 times cheaper
- Power BI had an Excel type intuitiveness that gelled well with analysts that had an inclination towards Excel
- For enterprises, Microsoft can offer a complete stack of data offering and office suite, and Power BI fits well in that stack
New Features introduced
On 10th Jun, Microsoft announced a string of enhancements in Power BI. Here are some new features introduced:
- Microsoft announced a string of AI features, including vision and text recognition.
- An Office-like ribbon and capability to group objects together. This is a step towards the non-Bi user to adopt the tool and have the same UI capabilities across the tools.
- A move towards data marketplace where an organization can certify datasets by certain users who can promote and share their datasets.
Power BI now hosts more than 25 million models, processes more than 10 million queries each hour, and supports a community of more than 850,000 active members. With just four years in the market, Power Bi has captured a pole position in the market.
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Bhasker is a Data Science evangelist and practitioner with proven record of thought leadership and incubating analytics practices for various organizations. With over 16 years of experience in the area of Business Analytics, he is well recognized as an expert within the industry. Earlier, Bhasker worked as Vice President at Goldman Sachs. He is B.Tech from Indian Institute of Technology, Varanasi and MBA from Indian Institute of Management, Lucknow.