In the end, bitemporal data management is about much more than historical data. It’s about strong data governance overall. A strategy must be in place for maintaining every aspect of data governance: security, privacy, lineage, provenance, data quality, compliance, lifecycle management and more. So, it’s important to understand how a relatively simple feature like bitemporal can be so critical to the whole picture of data governance that every organization today needs—and the pitfalls you can run into if it’s ignored.
Sign up for Computerworld eNewsletters.