data management
18 Data Quality Issue Attributes You Should Be Logging
If you’ve already started or are planning to start a data governance program to support your data quality improvement goals, you need a structured way of tracking your data quality issues and their status. There are different ways of doing this, of course, with either the help of dedicated data quality…
How to Not Get Overrun by Your Data Overrides
Large-scale enterprises rely heavily on market and consumer data sourced from outside vendors, but that information comes at a cost. In addition to intermittent issues with the data quality itself, consumers of vendor data can face timeliness problems, non-standard formats, coverage gaps, and lags in technical support. Despite these and other…
Infographic: How ETL Primes Your Data For Reporting
There’s a lot your BI solution can do to make reporting off live data faster and more efficient; but when you’re looking for an even more substantial performance boost, it’s time to bring out the big guns. Any pre-processing you do to your data is work your system can skip when…
Evolution, Not Revolution: Tips for Transitioning to a Federated Database System
As enterprises scale, they develop data inefficiencies. Sometimes these inefficiencies arise internally, between departments or branches, while others emerge as the parent company acquires smaller companies, each with their own databases and IT departments. In either case, communication issues ensue as siloed databases and IT redundancies begin costing the enterprise…
The Emergence of the Chief Data Officer
Above: Popularity of “Chief Data Officer” searches (blue) compared to “Chief Technology Officer” searches (red) and “Chief Information Officer” searches (yellow) from Jan 2004 through present according to Google Trends. The period with the most searches is given a y value of 100, and all other periods are charted in comparison to that peak. What...
Most Technology Projects Fail. What is Your Data Management Plan?
The failure rate for technology projects continues to be over 50%, and some estimate it’s even higher. While that statistic may or may not surprise you, what will surprise you is how much data management strategy (or lack thereof) contributes to that failure rate, directly or indirectly. People blame what they can see, and because...