Keith Belanger, Field CTO at DataOps.live explains why DataOps matters
For years, data teams have relied on manual or DIY efforts to keep data flowing. Manual checks, custom scripts, and/or late-night firefighting all worked until they didn’t. Today, organizations are under intense pressure to deliver trusted data faster than ever before. Analytics expectations have expanded; AI initiatives are moving from experimentation to execution; regulatory scrutiny is increasing, and data estates are more complex than at any point in history. Considering these demands, many organizations are still trying to scale data delivery using largely manual, bespoke processes that have been considered “just good enough.”