Articles

What is Data Enrichment?

Data Quality, Glossary

Data enrichment is the process of adding new information to records in your database to make them more valuable — that is, enriching them.

What’s the Best Enhancement for Your Data? Top 10 Data Enrichment Solutions by Use Case

Australian Death Check, Data Quality, Data Management

Data enrichment means adding new information to existing records to make them more valuable. But with a wide range of data enhancements available, it can be hard to identify what will add the most value. Matching data enhancements to use cases can help decode the options and make the right decision.

What is a data audit? And why might you need one?

Data Quality, Glossary

Data is a valuable asset, especially when it’s used to power AI agents and sales enablement. The data audit makes sure it’s fit for purpose.

AI Adoption and Data Poisoning

Data Quality, Data for AI

Data poisoning refers to an attack intended to corrupt the training data used to train a machine learning (ML) system. ML systems rely on the data they’re trained upon to generalise their responses to novel information. The training data is curated to present the model with an appropriate sample. When that data is compromised, the ML system is also compromised.

Ongoing Data Readiness for DIY AI

Data Quality, Data for AI

High-quality data is vital for training any machine learning system. Data readiness is an ongoing process. Let us explain.

AI agents need the right data

Data Quality, Data for AI

An AI agent is only as good as the data behind it. Data is the lifeblood that flows through all forms of automation, and that includes AI.

What is data cleansing?

Data Quality, Glossary

Data cleansing, or data cleaning, is the process of finding and removing problems with the data in a database. Those problems include incorrect, corrupt, duplicated, incomplete or outdated data.