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Latest Posts

The Yellowfin product roadmap into 2020

The last 12 months have been tremendous for Yellowfin. We’ve introduced Signals, Stories, a new dashboard build, mobile app and many new improvements to the platform. There is no one else in the market that brings together all of these types of products and it means we’re diverging from our competitors. Our competitors think far more about the analytical experience, while we care about the data consumer and build products for them.

Yellowfin 9: Our new developer platform

Seek, who is one of our customers, came to us with a laundry list of functionality that their developers wanted. Like many enterprises, they have their own developers who are asked to deliver a design for their UX team and they need and environment where they can do that. They didn’t want us to worry about the UI, they just wanted the ability to code what they wanted directly into the Yellowfin dashboard environment, so we created Yellowfin 9 Code Mode which is our developer platform.

How to extend the life of your legacy platforms

Not so long ago, our CFO was looking at changing our financial system and it reminded me of a similar situation that happened when I worked at National Australia Bank many years ago. We changed our entire ERP because the organization needed to slice and dice their data differently. What they could have done instead was use analytics differently to extend the life of the products they had, so that’s what we’ve done.

Why BI vendors are holding back on innovation

When it comes to automation in the BI industry, I think a lot of vendors are holding back. It’s entirely possible to automate the majority of what data analysts do today, but vendors are reluctant to do this because it would impact data analysts and they’re a big gatekeeper in the buying cycle of analytic software.

Innovation in the BI industry is dead

Innovation in the BI industry died about 30 years ago. Sure the colors and format may be different but what’s delivered to business users is exactly the same and that's a real problem. I think this is because the industry spends more time thinking about how to make a data analyst’s life easier rather than helping business users get the most value from their data.