Ensuring Data Quality

Think Tank - 2:25 pm - 2:50 pm

Data quality is one of the most critical issues facing every enterprise and whether data be duplicate, stale, incomplete, invalid, conflicting or just plain incorrect the impact of enterprise decision making and ultimately enterprise success and be significant and severe. As the number of data sources grows, as the speed with which data is collected and utilized increases, and as the raw volume expands almost exponentially, the impacts of poor data quality becomes more significant than ever before. IT executives must build strong data governance capabilities to ensure that enterprise data is kept unique, timely, complete, valid, consistent, and accurate.

Takeaways:

Data quality is not a new problem but the advent of the IoT age means that it will be a problem of greater relevance than ever before
The process by which data quality can be addressed isn't fun or sexy but where enterprises have often ignored it to date they can no longer do so
Enterprises that do not proactively address data quality now may find that IoT is their downfall rather than their savior