Using data is no longer exclusive to IT specialists. Everyone within your organization utilizes data for work, but how do you make the most of it? Here are 3 tips on how to make optimal use of your (external) data.
After your data housekeeping and your data strategy, it's now time for your data process. In a handy infographic, we've provided an overview of how to streamline your data process in 5 steps.
For something that is everywhere and always present, it often gets remarkably little attention. It is, of course, data. The remarkable thing about data is that everyone who spends most of their working days behind the computer is amassing mountains of it. Everything you look up, type in, process or transfer. But for what purpose, really?Â
Not cleaning for too long and step by step pollutes your home without really realizing it. The same thing applies to your data (house). Time to clean.
In almost every company, data belongs to and is for everyone. And therefore nobody's responsibility. And that's a problem because different teams are highly dependent on both the quantity and quality of each other's data.
After the corona pandemic, the Russia-Ukraine war, the energy crisis and rising commodity prices, the economically uncertain times do not seem to be over. How can you grow despite that uncertainty? Dun & Bradstreet did some research.
With master data, your most crucial business information from different systems and processes is brought together into one structured information source.
In today's fast-paced and highly competitive business environment, it's more important than ever to stay ahead of the competition. One way to do this is by leveraging the power of data-as-a-service (DaaS).
At a time when trends in digitalization are following each other at a rapid pace, it is important that you as an organization can keep up with this. It can make or break the future of your company. To keep up with this, you need to pay attention to your Digital Operational Excellence, also known as DoX.
Businesses face another challenging year in 2023 due to continued slow economic growth, increased complex regulations and rising operating costs. One of the most effective ways to build resilience in businesses is to be proactive and prepared for an unpredictable environment.
What causes bad data? Bad data is a result or manifestation of a series of events that cause it. We list the events, along with the causes and possible steps for quick resolution.
Sinterklaas had an immense Master Data problem, but of course we didn't leave this good man out in the cold. Looking for a more efficient way of working this busy festive month? Find out how we helped Sinterklaas get his data in order.
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