by Blazent | May 2, 2017 | Data Integrity
Throughout history, business has always struggled with the challenge of data accuracy and integrity. While there is clear operational and strategic value in accurate and dependable data for decision-making, the operational cost of achieving and maintaining data...
by Blazent | Apr 27, 2017 | Data Integrity
Reliable data is foundational to good decision making. Data Integrity is an critical requirement, which is defined in many ways. The Technopedia.com definition of Data Integrity linked here focuses on three key attributes: completeness, accuracy and consistency. The...
by Blazent | Apr 20, 2017 | CMDB Data Quality
Improvements in IT data quality and analysis tools have enabled IT management to spend less time looking into the past and more time enabling the dynamic enterprise of the future. This allows them to anticipate business events more accurately, forecast costs and...
by Blazent | Apr 18, 2017 | Data Integrity, Data Intelligence
TDWI Research: The Foundation of IT Data Intelligence This list is a subset of the white paper Philip Russom of TDWI Research wrote, outlining his top priorities for data-quality solutions, with a focus on the data that typically supports the IT Service Management...
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...
