MORE QUESTIONS -> MORE ANSWERS -> MORE CHANGES
DataKitchen provides the world's first DataOps platform for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. DataKitchen is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing based statistical process control into analytics and data management.
Analytic process are like manufacturing: materials (data) and production outputs (refined data, charts, graphs, model)
Analytic processes are like software development: deliverables continually move from development to production
Focus on both orchestration and deployment while automating & monitoring quality
When a pharmaceutical company wins FDA approval, they enter a critical time of growing product sales from zero to potentially billions of dollars. The 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. The results are eagerly reviewed by the marketing department, executive team, and the entire sales organization.
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.
The DataKitchen management team has decades of experience in software, analytics and data.
We are active in spreading the word on DataOps. Check here to see if we are coming to an event near you.
We have several open source repos on GitHub. The most important is our AnalyticContainer specification on GitHub.
Our company is profitable, stable, and rapidly growing. We offer very competitive pay and benefits, such as a company funded 401K. Come join an experienced team (we all code), amazing customers, equity, and a cool office location.
DataOps helps analytic teams rapidly produce insight, turn that insight into operational process, and continuously improve analytic operations and performance.
DataOps emphasizes communication, collaboration, integration, automation, and measurement of the entire analytic team.
DataOps promotes cooperation within the analytic team: data scientists, analysts, data/ETL engineers, IT, and quality assurance/governance.
DataOps views all the steps to produce insight -- data ingestion, management, mining, and visualization -- as an improvable operation process.
DataOps is a new role on analytics teams that manages the production and development environments, provides the tools, and orchestrates an Agile process.
DataOps views the delivery of insight as a lean manufacturing process that can be measured and improved with statistical process control.
DataOps spans the entire analytic process from data acquisition to insight delivery in order to deliver better analysis, done faster, cheaper, with higher quality using the tools the analytic team already loves.
Learn More About DataKitchen
101 Main Street, 14th Floor
Cambridge, MA 02142
One Broadway, 14th Floor
Cambridge, MA 02142