Six Steps to Success as a Chief Data Officer
A Chief Data Officer (CDO) is a senior executive who is responsible for how the organisation utilises and governs their data. Let’s take a look at some of the biggest challenges Chief Data Officers face and how to ensure success in this important role
CDO as a service: The next data evolution
CDO as a service is a cost effective and flexible way to support senior-level leadership with data expertise. Find out more about what this new service is and how it can help you to capitalise on your organisation’s data assets, become more data-driven and to stay ahead of the competition.
How to Overcome the Biggest Data Governance Mistakes in Startups
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.
7 Key Benefits of Data Governance
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.
What is data literacy and why is it so important?
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.
What is Data Governance and why is it important?
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.
Why your database limits your data quality
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.
The four pillars of modern data architecture
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.