In today’s business world, where the customer is put first, both large and small organizations are investing in CRM ...

As such, today’s data teams need clear, comprehensive workflows to find, analyse and resolve data quality and reliability issues from ingestion through to consumption. They need to be able to ...

Google Analytics is rolling out enhanced data completeness, Updated data presentation, and proactive issue detection.

Tonic.ai discusses the current test data landscape and provides a number of fascinating insights on everything from quality data generation, synthetic test data usage and how both modern and ...

With a modern MDM platform, pharmaceutical companies can identify and correct data quality issues before they cause downstream problems. For instance, a data quality layer can detect duplicate ...

The Bad-Data Culprits Of course, you can take steps to recognize and address the data quality issue, so let's start with a look at the three biggest culprits behind poor data quality. 1. Past the Sell ...

Britain's Office for National Statistics must take urgent steps within the next four weeks to reverse a fall in the quality ...

Dealing with exponential data growth: The issue of data quality will only intensify as organizations produce and deal with more and more data. It is estimated that, more than 150 zettabytes of big ...