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....
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
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 (ITSM) functions in an organization. ITSM functions rely...
by Blazent | Apr 12, 2017 | Data Quality
How well prepared is your organization for growth? What are the challenges to making progress? One often overlooked constraint is the impact of IT data across an organization (in spite of the fact that nearly every decision made is based on data). Perhaps, given this,...
