New eBook! 4 Ways to Measure Data Quality
Assessing data quality on an ongoing basis is necessary to know how well the organization is doing at maximizing data quality. Otherwise, you’ll be investing time and money in a data quality strategy that may or may not be paying off. Syncsort’s latest eBook, “4 Ways to Measure Data Quality,” takes a look at the variety of data and metrics that organizations can use.
There are lots of good strategies that you can use to improve the quality of your data and build data best practices into your company’s DNA. Although the technical dimensions of data quality control are usually addressed by engineers, there should be a plan for enforcing best practices related to data quality throughout the organization.
What does data quality assessment look like in practice? Read this eBook for a more in depth look at these 4 ways to measure data quality:
- Database entry problems
- Data analytics failure rates
- Data time-to-value
- Cost of data storage