The Gartner Magic Quadrant for Business Intelligence is a piece of analyst reporting we look forward to every year. Both the dept and the scope of this research makes it worth the read. But not many people take the time to really dig into the details of the report. Typically the only thing people see is the well known two-by-two matrix. We took the time to read all of the 38 pages of this year's report and we included the most important findings in our webinar that you can watch at the bottom of this page.
Gartner is an American IT research company. It maps the market for IT solutions and this research is summarized in a compact 2-by-2 matrix. The horizontal axis shows the ‘completeness of vision’ and the vertical axis shows ‘ability to execute’. This creates four quadrants in which the solutions are positioned as dots. All in all, Gartner currently produces just under 150 (!) of these quadrants. One of these quadrants is Magic Quadrant for Analytics and Business Intelligence Platforms. You can find the full report on Gartner’s website here.
Based on the research for the magic quadrant, Gartner formulates a set of so-called strategic planning assumptions. This year five of these assumptions were formulated:
This year’s magic quadrant clearly shows two vendors leading the pack. Tableau and Microsoft’s Power BI are top right in the leader quadrant. Next to these leaders, a number of surprising new vendors make their way through the quadrant. If you want to learn all the details just watch the webinar and in 20 minutes you are completely up to date.
Watch the full webinar in just 20 minutes and know everything there is to know about this year's Magic Quadrant for Analytics and BI. Just fill out the form and you will get instant access. Don't worry we won't give your details to anybody else and we won't spam you with non-relevant info.
Watch the full webinar in just 20 minutes and know everything there is to know about this year's Magic Quadrant for Analytics and BI.
In this interview, Jonathan Aardema talks with Prof. Eric Postma (professor of Cognitive Science and Artificial Intelligence at the University of Tilburg) about the why, how, and what of artificial intelligence applications. What do we see in practice, and what does science say about it?
Keeping your skills up to date is crucial when you work with the newest technology. At Rockfeather, we challenge each other to be the best version of yourself. That’s why I attended the mastering DAX course. DAX (Data Analysis Expressions) is a formula expression language. Next to Power BI, DAX is applied in Excel Power Pivot and tabular models in SQL Server. Learn it once, use it tomorrow.
Day to day hectic is always the enemy of your ambition to acquire new skills and gain knowledge in the fields you identified. These special times offer the opportunity for some of us to spend some extra time to invest in yourself to learn new things. For those of you who have the ambition to learn more about data science we made a selection of the webinars from the people at Alteryx to learn more about this subject.