DataOps Observability and Test Automation Software that rapidly finds and fixes problems across your complex data estate. Get observing in 60 minutes.
Data Journey Observability Software: When ‘Failure Is Not An Option.’
DataKitchen provides software to observe and validate every data journey in an organization, from source to customer value, in development and production, so that data teams can deliver insight to their customers with virtually no errors and a rapid rate of new insight creation.
Our software allows data and analytic teams to observe complex end-to-end processes, generate and execute tests, and validate the data, tools, processes, and environments across their entire data analytics organization, providing massive increases in quality, cycle time, and team productivity.
Data Journey Reliability. Delivered.
Data breaks. Servers break. Your toolchain breaks. We ensure your team is the first to know and the first to solve with visibility across and down your Data Journey.
Reduce Errors to ZERO
Win the trust and confidence of your business customers by eliminating errors in your analytics. What’s more, less time spent on unplanned work means more time spent on innovation.
Find Problems Before Your Customers
Stop the embarrassment of incorrect data, dashboards, models, or even just being late. Stop wasting time on data fire drills. Protect yourself from data provider ineptitude.
Preventing Problems From Happening Again
Spend less time worrying about what may go wrong by observing the entire data journey and get more time to create by permanently preventing problems from happening again.
Want to See Our DataOps Observability, TestGen, and Automation Software Products in Action?
Why Use DataKitchen’s Software?
“We realized dramatics cost savings and also capitalized on opportunities better because we were more efficient and could do things more quickly.”
What’s Cooking at DataKitchen
Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems?
These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better. And your customers don’t care where the problem is in your toolchain. They want to know when to get their trusted dashboard refreshed (for example).
The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. It’s more than just a ‘last mile’ problem in data observability. It’s about personalization for your customers. Demanding Data Consumers require a personalized level of Observability.
The DataOps Cookbook