Gartner Magic Quadrant For Analytics And Business Intelligence Platforms 2020 – Microsoft remains “up and to the right” in Gartner’s new Magic Quadrant for analytics and business intelligence platforms, while its main competitors have moved down and to the left. We spoke with Microsoft’s Amir Nietzsche, the “father” of Power BI, to gain insight into the product’s success.
The new Gartner Magic Quadrant on Analytics and Business Intelligence (BI) is out, and Microsoft is once again in the “Leader” quadrant (see figure above). In fact, according to Microsoft, this is their 14th consecutive year as the leader in BI. While Microsoft is in roughly the same place as it was last year, its closest competition has disappeared. The thinking space falls in the Visionary Quadrant. Qlik, when it increased in the axis “Visual completeness”, appeared in “Ability to act”. The table, meanwhile, is registered in both dimensions.
Gartner Magic Quadrant For Analytics And Business Intelligence Platforms 2020
This gives Microsoft, and its Power BI juggernaut, a huge lead in the competition. And while it’s tempting to see Microsoft as something big that wins because of its dominance and dominance in the industry, I can say – from personal experience – that’s not always the case. I’ve been working with the Microsoft BI stack since its inception in the late 90s, and I served on the company’s BI Partner Advisory Council (PAC) from about 2005 to 2011. At that time, Microsoft had the dominant BI server platform. At SQL Server Analytics Services, expertise in application data visualization and self-service is typically characterized by 15 years of ebb and flow.
Magic Quadrant Business Intelligence Software Gartner Power Bi, Power Magic, Angle, Text, Information Technology Png
So what has changed? What did Microsoft do right? And how do we get real performance on the enterprise BI platform side? To get some insight from Microsoft’s side, I spent an hour talking with Microsoft’s technical partner, Amir Neitz, who is essentially the father of Power BI. Netz came to Microsoft from an Israeli BI company (now headquartered in Canada) called Panorama Software, after Microsoft bought the technology from Panorama in 1996 that would eventually become Analytics Services. Since I first met him 15 years ago when I was a Microsoft BI PAC, I knew that Nitz was brilliant as a technologist, strategist and salesperson. So I was interested in buying it, even though it was designed for promotional purposes.
Netz says that the traction and success that Power BI has achieved in its first two years of life is largely due to the product’s low cost (Power BI Desktop is free, as well as an entry-level cloud subscription), the Low cost adoption is affordable. The point has been activated and a very large and enthusiastic community of users/customers has been born by both. They are more likely to feel that going “everything” in the cloud, when most of the company’s data is still on premises, is a big bet that pays well. He attributes that decision, and his tenacity to see it through, to Microsoft’s director of business applications, James Phillips, despite the product team’s deep doubts. Phillips comes to Microsoft from Coachbase, where he was co-founder and CEO in the company’s early days. Although Netz didn’t say it, it’s pretty clear that bringing Philips’ startup mindset to Microsoft made a big difference in Power BI’s success.
Perhaps related to Philips, the Power BI team adopted a monthly update cadence for the product, adding new features to the product at an unprecedented rate. When I was in the Microsoft BI PAC, platform updates could only be sent when a new version of SQL Server or Microsoft Office was released – meaning updates every 18 months, at best. With overnight changes in the pace of innovation comes a new transparency, with Power BI product team members, including developers and program managers, through blogs and social media, as well as videos. Engage the community at large. . Monthly release of products.
Gartner’s Magic Quadrant For Business Intelligence And Analytics Platforms 2015
This amount of community involvement really helps Power BI. While many people think that Microsoft can easily push new products because of its dominant position in the market, the truth is that new products at Microsoft face a tough battle, and they cannot Compete with the products of startups and other small companies. The reason is simple: Microsoft’s field salespeople have always focused on selling well-established high-tech products and services, such as Office, SQL Server and now Azure, to get aggressive quotas. Conversely, field sales have very limited bandwidth to push new products at lower prices. And unlike well-funded startups that employ their own corporate sales force, the product team at Microsoft doesn’t have that luxury.
But low prices and a great community can only get you so far. So what happens next, to sustain this growth? All of the improvements Microsoft is making in the self-service BI space at the individual user and department level often lead to wider enterprise adoption, Neitz said. And this means that the product must meet the demands of the company. Meanwhile, thanks to the legacy of Analytics Services (and the fact that Power BI and Analytics Services share core engine technology), Microsoft is ready to test enterprise deployments, and with resilience. Finally, Power BI is a tool that compensates for the lack of Microsoft’s self-service BI that was a platform that balances the power of both self-service and enterprise.
The introduction of Power BI Premium makes this duality official. The relatively high cost of entry, starting at around $5,000 per organization/month (versus $10 per user/month for Power BI Professional) really makes better economic sense to target larger companies. Above all, the enterprise push means that all professionals who have built a career on the Microsoft Enterprise BI stack can join the Power BI ecosystem and community. This is a proverbial success: these professionals gain new markets and can extend their franchises to the cloud, and Microsoft gains more momentum in the BI market.
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Another unique feature of Power BI is its integration with other strategic Microsoft platforms. This includes Excel; Azure Synapse Analytics, the company’s cloud-based data warehouse and data lake analytics platform; Azure Machine Learning; Azure Purview, Microsoft’s data catalog and governance platform has recently been released into public view; And, most importantly, especially in times of pandemic, Microsoft Teams.
Netz said the goal with the Teams integration is to make data as basic as conversations and calendars, so that it’s one-click, so event analysis through Serendipity’s “Want to know more?” This cultural shift has already taken place at Microsoft, says Senoritz, saying that data now includes 50 percent of good content in internal presentations to Microsoft leaders.
This is a very long post, and there isn’t room to tell every side of the story, but I will point out that as Power BI is done, it faces some challenges. For example, the lack of a Power BI desktop client for the Mac, initially excluded Microsoft from a community of data scientists, developers, analysts and business users who almost completely avoided Windows. Back then, the desk was just windows too. This is solved by offering a functional web browser interface and a native Mac client. And that made it the default option for the Mac Pro group.
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Speaking of Tableau, the acquisition by Salesforce, which also recently acquired Slack, means that the Power BI-Teams integration will soon see serious competition. Another problem, as Gartner points out in the report, is that Power BI inherently has a strong connection to the Azure cloud, creating an adoption barrier for gung-ho cloud folks. Tableau, and independents such as Qlik, Sisense and ThoughtSpot do not have this problem. And even the crazy Google Cloud itself is more cloud agnostic, since it came to Google through acquisition.
So, yes, Power BI is here and it’s good. But we must look over our shoulders, because the world of BI will be competitive, growth-driven, and strategic for our customers, enterprise software mega-vendors, and public cloud providers. A good sign for Microsoft in all of this is the Power BI team
That, and being careful to keep “old Microsoft” style hubris in check. Perhaps most importantly, the team has maintained incredibly high morale throughout the product’s life. In other words, the team is having fun. The result is a product that is fun to use, something that resonates with stakeholders and customers. That seems to help the company’s analysts, too. Yesterday, Gartner released its 2018 Magic Quadrant for Business Intelligence. MQ research for BI has been going on for about a decade. This is a reference document for business intelligence technology customers.
Analytics And Bi — Iba Group
At face value, not much has changed… but, if you look closely, you’ll see that some major changes have occurred in the history of the Magic Quadrant…
For the first time in 3 years, Gartner dropped a significant number of vendors from its quadrant. In 2016 and 2017 there were 24 vendors in the Company Quadrant. This year, the Magic Quadrant listed only 20 vendors…
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