Insights

Aginic has announced its Australian-first partnership with Soda, the data quality company, that brings everyone closer to the data. Learn more about how Aginic and Soda will drive a new frontier of data quality.

Big data refers to large, complex data sets often contrived from multiple and new sources. The reason that “big data” has received its own term (after all, it really just means larger datasets) is due to the added complexity that comes with simply adding more data, particularly from multiple sources. 

Data quality is a measurement of how suitable your data is to meet the decision-making requirements of your organisation. More specifically, the broad category of data quality can include metrics of completeness, timeliness, accuracy, consistency, and uniqueness. 

Aggregating a lot of data into a centralised place, cleaning and joining data from different sources when building a data warehouse looks very similar to what we do with an MDM. So what’s the difference, and when might one be enough?

Good data governance should be a calibrator that helps find the data sweet spot, unlocking how best to use it! Learn how to get the most out of it in your business.