Systems | Development | Analytics | API | Testing

A look at Qlik Replicate's zero-footprint architecture and how it is designed for scalability and flexibility.

As we get closer to the end of 2021, looking back the data and analytics technologies have evolved significantly over the last few years. We have seen the introduction of augmented analytics capabilities embracing user self-service and multimodal delivery of analytics insights. In addition, we have seen new data integration and catalog capabilities in response to the demands of new regulations and governance needs.

Much of my focus over the last couple of decades has been in analytics, big data, and AI, and Joe DosSantos and I discussed the progression of these fields over time in a recent Data Brilliant podcast episode. My subtitle for that episode might be, “The Promise and Perils of a Hot New Field,” as we addressed several aspects of how these popular concepts have evolved in the first fifth of the 21st century.

Part of our vision at Qlik is to simplify analysis for everyone – meaning that Qlik Sense is not just a tool for IT and the data analyst but something that can be put in the hands of everyone.

What’s struck me in the past years is how the tools we have at our disposal, at a societal and corporate level, are insufficient to solve the big challenges we face. We see this with the pandemic, climate change, social inequity and much more. And, more recently, in the disruptions in supply chains, which have created global shortages of key components and materials. To solve our biggest issues, we don’t have a choice but to get together and create joint, interwoven solutions.

What is data governance? Well, for one, it is a buzzword. And, with buzzwords, we often forget to slow down and investigate what they actually entail. This article is dedicated to exploring five essential elements of data governance – emphasizing the importance of implementing it from end to end.