Do you really know what data you have, and where it all is? Are you confident how to interpret the data you have, and when you want some data, do you know where to look? If not, here are our best practices for not being overwhelmed by data.

In this article we focus on some of the common issues that we’ve seen appear specifically in startup organisations. Here are our 4 top tips on how to overcome the biggest data governance mistakes startups often make.

Here we explore what some of the most common barriers to data literacy in an organisation are.

Have you taken the time to carefully select a data management tool for your staff and organisation to use, but are finding that hardly anyone uses it and that the uptake is fairly low? This article aims to explore why this might be happening in order to help us understand what can then be done about it.

If you work with data, you will surely have a view on data governance and its importance to an organisation’s success. A well-crafted data governance strategy is vital in today’s fast-moving and competitive market. In an earlier article, we explored what data governance is and why it is important. Now, let’s look at some of the key benefits of data governance.

If you have lots of data but somehow struggle to actually do anything useful with it, you probably have a data literacy problem. Everyone in your organisation needs to have some data literacy, and that doesn’t mean technical skills. Data literacy avoids wasted effort and the best way to spread it is by example.

Are you passionate about data but don’t understand why others aren’t? There are several common reasons that stop staff and colleagues from taking that next step and really caring about data.

Real world objects are often more complicated than simple databases really understand, and trying to fit those complications into the rigid type system of SQL is much like fitting a round peg into a square hole.