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.

Erin Byrne is a Senior Customer Solutions Engineer at Qlik and shares her practical advice to successfully divest your SAP systems. Erin has worked with SAP systems for over 20 years, has built more than 100 SAP systems and managed in excess of 30 divestiture projects.

The latest United Nations IPCC report paints a sobering picture. Climate change looks likely to accelerate in all regions as we approach the critical global warming threshold of 1.5°C. Such an uptick in temperatures will increase sea level rise and intensify the frequency and magnitude of extreme weather events. For cities, these changes will make governance more difficult in nearly every respect.

It’s great when analysts, media members and industry thought leaders tout your company’s leadership; it’s a point of pride for all of us behind the scenes working to continually improve Qlik Sense’s position as a leading and world-class analytics platform. However, the biggest praise (for me) comes from customers/users – the people Qlik Sense helps – whose recognition assure me we’ve really delivered.

When you were a child, how many times did you use the argument with your parents “but everyone else is doing it” to rip holes in the knees of your jeans or dye your hair blonde or steal beer out of the fridge to take to a party? Only to be countered with “well, would you jump off a cliff just because all your friends did?” Wow, the frustration I felt at such a logical but basic argument.

I am a firm believer that data is shaping the world around us, and so I constantly strive to drive awareness about the value of data and how it can bring great benefits to businesses and people. And, as I explained to Joe DosSantos in the latest episode of Data Brilliant, that means helping people identify the right data career path for them, and helping organizations understand the roles and skills they need within their business to help them succeed.

In 2020, in response to the pandemic, we saw an urgent shift to SaaS and various emerging technologies. It was covered at length in “Introducing Trends 2021 – 'The Great Digital Switch'.” Largely driven by necessity, organizations needed to make drastic moves “to keep the lights on” and cater to operations in a more virtual and remote style. This big leap forward drastically changed the IT landscape and infrastructure in a lot of organizations.

Data – the amount we create, how we create it, how it is accessed (think both people and Artificial Intelligence/machines), and how we use it to inform, propel and influence everyone and everything is one of the biggest challenges and opportunities we face in our lifetime. And it’s driving enormous change.

A favorite moment of mine is when I get to share Qlik’s vision for Active Intelligence with a customer for the first time. It usually goes like this: genuine excitement about the possibility – taking informed action in the moment from real-time data…invariably followed by many questions – where do I begin? What do I need? What about the tech stack I have already acquired?

Unless you’ve hidden under a rock for the past decade, you can’t have failed to notice that data in today’s enterprise is very much alive. It’s always moving, constantly changing, and we’re continually using it to create new business value. However, while data fluidity and visibility have blossomed, the opportunity to use that data to drive business actions seems to have withered in comparison.