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.

For organisations and modern businesses the management of data and how they use it is becoming a critical part of that organisation’s success. This article explores what data governance really is and why it is important to get right.

Data sharing is incredibly important for all organisations, yet continues to be a real challenge for many. In this article we share our thoughts on 3 different ways to encourage better data sharing across organisations.

Does your organisation suffer from data silos? Have you noticed the impact this is having on your organisation and are you keen to stop this? If so, hopefully these tips will help to give you some ideas and options on how to break down data silos and to get your organisation working more effectively.

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.

Does your organisation have data silos? Getting rid of data silos can make a big difference to an organisation but first we need to understand what they are and how they can be dangerous to ignore.

Whether you are a fan of James Bond or not, the latest James Bond movie No Time to Die brings up quite a few interesting data modelling challenges. We lead you through all the double-o shenanigans and we’ll discover some general modelling lessons for operational data.

In the Internet era, the data problems we have are different. In this first in a series of posts, we’ll examine how the different ways that people create and use data today impacts how we must shape a data architecture.

Register Dynamics made a submission to the National Data Strategy open call for evidence, in which we discuss the difficulties with data that Government faces which could be fixed with a better approach to data infrastructure.

Something is very wrong with personal data in Government. Citizens still submit their personal data using paper and pictures of letters, and services bear the burden of low-quality evidence. Why isn’t Government more joined up in it’s data sharing, what are the dangers, and how do we solve this problem once and for all?

Our Register-based products and services are now available on G-Cloud, a public sector procurement framework offered by Crown Commercial Service. Public sector buyers can unlock the benefits of canonical data management more easily than ever before!

In the early 1980s the spreadsheet transformed the financial and accounting industry. Over the last few years, business has once again begun to change. How are disruptive companies such as Uber and Airbnb reaping the rewards of putting cloud-based data management at the fingertips of their own teams?

Technical trust and legal trust are both insufficient by themselves to ensure protection of valuable data. Instead we need a vehicle that combines the two to allow data use to be auditable and acceptable practice to be enforcable. In this post we discuss this concept of a data trust, explore what benefits they could bring and how they could be achieved.