Since we launched Talend Data Fabric in 2015, we’ve believed strongly that merely focusing on the mechanics of data — capturing, moving, and storing data — is not enough to become data-driven. Everyone in the organization must be able to easily find, trust, and use data. That’s what data health is all about, and that’s what Talend makes possible. Forrester looked at the 15 software providers that matter the most when it comes to Enterprise Data Fabric.

Making insights for your business isn’t easy. You're expected to always do more, do it faster, all without costing a small fortune. But how can you expect to do this when you’re using the wrong kind of analytics in the first place? Let’s explore. You may have heard of the 4 different types of analytics (the image below from Gartner helps visualize each type and how we use them) Think about how many post-mortem meetings you’ve had. Hindsight is important, of course!

Ever wondered what our most-used components are? Here at Talend, one of my “Shadow IT” jobs is to report on component usage. If you've ever used Talend Studio (either the open source Talend Open Studio or the commercial version) you most likely already know and love the component tMap.