Tuesday, March 22, 2016
Gartner Magic Quadrant for Business Intelligence & Analytics Released for 2016
Posted by Noah Kluge
The 2016 Gartner Magic Quadrant for Business Intelligence (BI) and analytics was recently released. This year marks a substantial change in the evaluation criteria with the emphasis focused more on end-user autonomy delivered through self-service tools that allow for rapid ad hoc development. The traditional IT-led software vendors will be assessed in a new market guide focused on enterprise reporting-based platforms. (That guide will be released later this year.) While assessing the relative movement between vendors is ill-advised according to Gartner, it is enlightening to understand who they see playing in these different markets.
2015 Gartner BI & Analytics
2016 Gartner BI & Analytics
For us here at Armanino, this is an affirmation of the approach we have taken to focus on providing and servicing Microsoft Power BI and Qlik Sense. These tools can easily be configured by end users to produce new dashboards through drag and drop interfaces as well as searching the underlying data to surface information that may not yet be on a dashboard. As with most things, it’s not as simple as just buying a new piece of software – thoughtful consideration and work is required.
We affirm the value in the agility and speed delivered by this new class of tools; the same was said at the dawn of the spreadsheet age. However, just as with spreadsheets and the resulting “Excel hell” that many companies found themselves in, there is risk and proper management is needed. When deployed correctly, the result is the agility and autonomy desired by business users but also accurate and governed data desired by both those on the business side and on the IT side.
Learn more about business intelligence solutions from the Armanino team to discover how your business could benefit from a well-considered BI solution.
Noah is a Senior Manager with Armanino’s business intelligence practice. During his career, he has been responsible for the design, build, and implementation of various business intelligence projects. Noah has extensive experience with the PrecisionPoint data warehouse and a great understanding of the importance of integration among systems.