From data ingestion to data modeling and governance, more and more organizations are looking towards automation to accelerate and improve data management and analytics processes.
And at a time when data environments continue to expand in size and complexity while IT staff sizes remain relatively flat, it's easy to understand the appeal. Business leaders are hungry for fast, actionable insights. Manual tasks are error prone and time consuming. For many enterprises, the traditional approach to data management is no longer sustainable, particularly when it comes to enabling modern data analytics strategies.
DBTA recently held a webinar with Joseph Treadwell, solution specialist director, TimeXtender who discussed key areas ripe for automation and the technologies to support them.
“Automation occurs anytime we offload complex work to a machine or a tool,” Treadwell said. “We have been using tools and automation to increase efficiency for millennia.”
Benefits to automating processes include greater productivity, reduced cost, and improved reliability, he explained.
There are three opportunities to automate when managing data. This includes:
- Eliminating coding
- Optimizing performance
- Instant documentation
Coding is an artifact of computing, ne noted. Computers don’t understand human communication and coding translates what we want to tell the computers to do. Automation can eliminate this costly and time consuming requirement, Treadwell explained.
By optimizing performance, automation can recognize inefficiencies in data management where data can be refreshed faster. And by automating instant documentation, it can organize details and place them in clear human readable format, he said.
The TimeXtender automated data management platform allows for increased productivity, reduced cost, and reliability. The solution provides a number of different benefits such as documentation, data lineage, and data execution, he said.
An archived on-demand replay of this webinar is available here.