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Innovation in Analytics Requires Iteration. And Iteration is Hard
You need to work with the tools you already have: Databases, Data Engineering/ETL tools, BI Tools, Data Science Tools, and Data Governance Tools. Whew that's a lot.
DataOps Runs the Assembly Line from Data to Customer Value. Data Analytic processes are like manufacturing: materials (data), steps (your analytic tools and code) and production outputs (refined data, charts, graphs, model)
DataOps Speeds Ideas to Production. Continually move from development environments to production
Automatically deliver and operate all your data analytic pipelines — simply, collaboratively, and at enterprise scale — with DataKitchen’s DataOps Platform.
We deliver previously unavailable business insights by enabling the deployment, monitoring, and coordination of multi-tool, multi-team, and multi-location data analytic pipelines. Iterate to Innovate.
When a pharmaceutical company wins FDA approval, they enter a critical time. Celgene's analytic team's internal customers need up-to-date information to allocate samples, plan marketing events, and of course, monitor progress vs. goals. Changes happen at a frenetic pace and the tolerance for error is very low. The DataKitchen DataOps platform plays a key role in delivering insight fast, with high quality using a diverse set of tools. DataKitchen Recipes run daily incorporating the newest sales data from Veeva, corporate MDM data, and multiple syndicated data sources into a large Redshift database. Crack analysts use Tableau and Alteryx to present dashboards and develop predictive models. Read the Case Study and Blog Post
When one of the largest international relief organizations wants to understand their donors and increase the funds able to help 130 million people in more than 90 countries and territories, they know that the traditional slow and fragmented analytic process does not meet their needs. The analytic team needs an integrated database updated daily, the ability to make changes to that database weekly, and the confidence to use Tableau to make changes real-time. They need DataKitchen's DataOps platform to provide the mechanism to make quick changes, keep quality high, and use the tools they love.
Learn More About DataKitchen's Leadership in DataOps from leading thinkers.