“Why?” a chief technology officer (CTO) may ask when the subject of automated Data Management tools arises. After all, their organization has probably already been storing, archiving, and backing up enterprise data day after day with success.
For example, setting up a Database-as-a-Service (DBaaS) from a reputable cloud computing provider, with appropriate access to data, enough storage, suitable integration, and strong enough security should be reasonable and keep the business running. Having a self-configuring and self-tuning database does save time and money by automating technical Data Management tasks. But this represents only a sliver of what is possible. To miss the full potential of automated Data Management is to remain mired in time-consuming, menial, manual business tasks.
