Qlik has been hard at work the past year transforming its customer success and support organization to truly align with customer needs in a SaaS first world. Today at Qonnections we announced a series of enhancements that put the customer at the center of everything we do at Qlik.

Jumping to conclusions has always been considered a bad way to do business (and most things in life). It implies making a rash, poorly considered decision without the facts and without an understanding of the wider implications associated with that decision. But there’s a new wave of technology that is changing everything.

In part 1 of my post on data governance fundamentals, I introduced the "5 Ws and 1 H" of problem-solving—"What”, “Why”, “Who”, “When”, “Where”, and “How”— and applied the first three to data governance. This part covers how you can apply the last three pieces and suggest some next steps. Let's get started!

These days, there are tons of ways you can grab the attention of potential customers — but it can also be quite hard to determine how people interact with the web.

Recently, I read an article by Jill Dyché which was a wrap-up of TDWI Las Vegas. She talked about speaking to an analytics professional who works for a bank and was building analytics on top of their applications. This comment really struck me because it means the bank’s software vendor is missing out on a great opportunity to create an enormous amount of value for their customer and their own business.

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.

In my last post I laid out our reasoning for moving from Heroku to Google Kubernetes Engine (GKE) and other GCP services. Now I'll describe the actual migration process in detail. This isn't designed as a how-to guide for migrating from Heroku to GKE—Google has their own excellent tutorial for that—but rather a description of some of the challenges of migrating real-world production applications and how we overcame them.

Ever since we started logging with Bugfender back in 2015, we’ve been working towards integration with Firebase, the app development platform created by Google. Firebase is famous for the breadth of its integration libraries and millions of people use the product around the world, drawn to its sleek UI and range of features.

When was the last time operations came to a halt due to an unplanned server downtime? Do you remember the moments when you had to work extra hours to make up for productivity loss? Well, those are the times we point fingers at the Infrastructure team for the unexpected server failures or for not being more prepared.

Today during Microsoft Build 2019, we announced that Talend Cloud, our Integration Platform as a Service (iPaaS), would soon be available on Microsoft Azure starting in Q3 2019. For those who have selected Azure as their cloud platform of choice, Talend Cloud running natively on Azure will provide enhanced connectivity options for modern data integration needs as well as better performance.