In October 2018, we launched two new products into the Yellowfin Suite: Signals, an automated discovery product that discovers critical changes in your data as they happen, and Stories, a data storytelling product which enables users to provide better context to the numbers and create a common, consistent understanding across the organization. What did we do next? Drink our own champagne, of course.
It’s a big day here at Qlik – we officially welcome Attunity into the fold after the formal close of our acquisition. Over the past year we’ve been executing on a vision of what customers truly need from their analytics partner – an enterprise-level data management strategy that fuels enterprise-wide analytics.
It dawned on me recently that I don’t actually use the Yellowfin mobile app. Like other BI apps, our app essentially replicated the dashboard experience on my phone. But I don’t like viewing a dashboard on my phone, I’d much prefer to look at it on my desktop because the screen is larger. We realized that there’s no point having an app if no one uses it. So we started to think about how people use their phones and set about reinventing our app.
In the last three parts of this four-part series, we have looked at: research on the state of analytics today and the lack of BI adoption; the history of BI and how we have arrived at the augmented era; and the four main blockers to BI adoption that is stunting the growth your business data culture. Today, let's take a look at how AI and machine learning (ML) can close that adoption gap.
April is an exciting time at Qlik as we build momentum towards Qonnections 2019 and later in the quarter, the global Qlik Analytics Tour. These great events will showcase Qlik Sense April 2019 – which is now available! This release sets us apart from the competition with significant advancements to our multi-cloud capabilities – including a new enterprise SaaS deployment option, as well as innovative advancements to our market leading AI capabilities.
