by Blazent | Nov 23, 2016 | Data Quality
When considering the business value of good data quality, the primary purpose is to make a business more efficient and profitable. The 451 Group research that tabulated the top 5 benefits below included other downstream benefits, such as “better supplier performance”...
by Blazent | Nov 16, 2016 | Data Quality
3rd of a 4-part series A preceding blog provided an overview of the operational dimensions that are normally associated with data quality. To recap, these are: Integrity Accuracy Completeness Duplication Currency Consistency This blog post will...
by Blazent | Nov 10, 2016 | Blog
Key topics to ask IT during a Merger and Acquisition As a follow-up to a previous post regarding IT’s role in a Merger & Acquisition (M&A) process, it’s valuable to look more deeper into what IT departments should specifically address to help M&A’s...
by Blazent | Nov 2, 2016 | Blog
When organizations acquire or merge with another company, it is critical that they make informed decisions that will determine the level of success or failure of the venture. Information technology departments have always played an important role in Merger and...
by Blazent | Oct 27, 2016 | Data Quality
Enterprise automation, predictive analytics, and AIOps run exclusively on data. When IT leaders attempt to execute high-speed infrastructure transformations on a polluted CMDB baseline, the initiatives fail instantly. From the Archives: The Enduring Sources of Bad...
