In this last part of our data quality blog series, we look at the 7 dimensions of data quality and the ways you can assess and fix data quality issues.
Top causes of poor data quality and how to fix them – People and processes
Learn the root causes of poor data quality related to technology and how you can address them to ensure your organisation gets access to high-quality data that is reliable and serves its purpose.
Top Causes of Poor Data Quality and How to Fix Them – Technology
Learn the root causes of poor data quality related to technology and how you can address them to ensure your organisation gets access to high-quality data that is reliable and serves its purpose.
Using data analytics to be more client centric
The Department of Health and Human Services needed a better way to manage their data, apply it and meet the needs of the future. We applied our Enterprise Data and Analytics framework to develop a solution for them.
Applying data through analytics
AusPost needed a strategy for applying their IM data through analytics. Here’s how we created an Analytics Strategy for them.
Most popular insights.
Measuring and Managing Data Quality
In this last part of our data quality blog series, we look at the 7 dimensions of data quality and the ways you can assess and fix data quality issues.
Top causes of poor data quality and how to fix them – People and processes
Learn the root causes of poor data quality related to technology and how you can address them to ensure your organisation gets access to high-quality data that is reliable and serves its purpose.
Top Causes of Poor Data Quality and How to Fix Them – Technology
Learn the root causes of poor data quality related to technology and how you can address them to ensure your organisation gets access to high-quality data that is reliable and serves its purpose.