Articles

What is data cleansing?

Data Quality, Glossary

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.

DCA and Dataro Discuss: Your Roadmap to AI

Data for Nonprofits, Data Quality, Data Management, Data for AI

“What do you need, and if you don’t have what you need, how can you get there?” Artificial intelligence is driving change across all aspects of our lives, it’s been all the buzz long before the emergence of GPT. Though, the idea of using ‘AI’-driven tools in our jobs as fundraisers still sounds a bit…

5 Things to Know Before Doing Data Enrichment

Data for B2B, Data Quality, Data Solutions, Business Data

Data enrichment, sometimes called data enhancement, means adding relevant information to your data to give it more context – and make it more valuable. This might mean getting complex demographic information to develop more targeted messaging….

Why do organisations need data verification?

Data Quality, Data Solutions, Data-Driven Marketing

Data verification is the process of checking data against an additional, authoritative data set to make sure the information is accurate. Often, data verification is used to check the accuracy of data before it informs any decisions or anything is spent acting on it.