by Blazent | Sep 6, 2017 | Blog, Data Quality
In an era of shrinking IT budgets and accelerating CI/CD velocity, abstract theories about data management are no longer sufficient. While achieving pristine enterprise data quality requires investment, operating a hybrid-cloud environment on corrupted telemetry...
by Blazent | May 23, 2017 | Data Quality
In the wake of the most recent (May 2017) malware attack impacting computer systems around the world, company executives are in urgent discussions with IT leaders, asking them to provide assessments of risks and vulnerabilities and recommendations to safeguard the...
by Blazent | Apr 12, 2017 | Data Quality
How well prepared is your IT infrastructure to scale? When organizations struggle to adopt modern hybrid-cloud architectures, they typically blame their tools. However, the most overlooked constraint is almost always the underlying infrastructure data. From the...
by Blazent | Jan 31, 2017 | Data Quality
Five Steps to Improve Business Insight Through Data Quality Organizations generate phenomenal amounts of data every day. To avoid being inundated and to leverage the full potential of what enters their business continuously, organizations must have a clear...
by Blazent | Jan 26, 2017 | Data Quality
While many organizations boast of having good data or improving the quality of their data, the real challenge is defining what those qualities represent. What some consider good quality others might view as poor. Judging the quality of data requires an examination of...
by Blazent | Jan 17, 2017 | Data Quality
The Difference Between Data Quality and Data Integrity While often used interchangeably, data quality and data integrity solve completely different infrastructure challenges. Understanding the difference is critical for IT organizations, as enterprise automation and...
