Modern businesses collect a lot of data. In the internet era, every transaction, visit, delivery, page view, click, and share is registered as a new data point. This is extremely useful, because that information can tell you a lot about how your business is performing and what strategies might improve that performance. But collecting a lot of data is no guarantee of data quality. And that’s where data cleansing comes in.

What’s data democratisation? Data democratisation has become a popular industry phrase over the past couple of years. But what does “data democratisation” mean? “Democratisation” is the act of making something accessible to everyone. A company’s data assets, of course, are a resource that shouldn’t always be freely accessed by everyone, because it can be sensitive.

What is data privacy and why is it important? To get to the root of the matter, let’s start at the beginning: what’s privacy? At its most fundamental, “privacy” refers to the idea that we can restrict access to information about ourselves as individuals.

With the recent release of GPT-4o from OpenAI, there’s never been a better time for us to dip our toes into the technologies underpinning our newest and most advanced generative AIs. Artificial Intelligence (AI), as we currently use the term, broadly refers to manmade constructs that can complete tasks that would usually require human reasoning.

At the conclusion of another successful FIA Conference, we have an opportunity to reflect upon the experience. The theme for the conference was “where passion meets purpose.” From the opening plenary session on, this year’s conference emphasised the vital role that data has to play in fundraising—now, and in the future.

At the conclusion of another successful FIA Conference, we have an opportunity to reflect upon the experience. The theme for the conference was “where passion meets purpose.” From the opening plenary session on, this year’s conference emphasised the vital role that data has to play in fundraising—now, and in the future.