What is DataOps for businesses?
DataOps is gradually becoming the mainstay since it was first mentioned by Andy Palmer in 2015. It is getting great interest and much reception among those who work with data science, data analytics, data management, data usage and data value. The last point gains much traction across various industries. The reason lies on the surface: ‘value’ plays a key role, meaning money and profit while running any type of business.
“It finally feels like large organizations have embraced their “data debt” and are figuring out how to monetize their data. It helps when they realize that great analytics depend on great data.”
Andy Palmer, a coiner of DataOps; a serial entrepreneur of data analytics and unification start-ups
DataOps advantages for business optimization
The most essential deliverables you can leverage while integrating DataOps solutions into your business processes can be boiled down to the following five touchpoints.
- Enhancing data analytics
DataOps implies the comprehensive combination of multifaceted analytics methods that empowers data specialists to collect, process, classify data and deliver them to the final destination, i.e. in this context, to the customer. This is a new discipline based on ML algorithms the core essence of which is to guide data on all stages of data elaboration, to receive valuable feedback from the customer in the shortest spans of time and to react to quick-changing market demands.
+ Data problem-solving capabilities
+ Availing new corporate opportunities
+ Enabling the far-reaching business potential
+ Providing long-term guidance
All in all, DataOps is a two-way street that enables full-scale interoperability between data sources and data users by streamlining data management and data analytics through automatic processes. This ensures the fast and seamless improvement of the product delivery and deployment, which proves its efficiency in data wrangling, apps customization and BI analytics.
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