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Chris Bergh, Head Chef & CEO of DataKitchen, speaks about the DataKitchen #DataOps Platform.

[Resources]
To learn more about DataOps platforms, visit: https://dataops.datakitchen.io/pf-dk-...

[About the DataKitchen DataOps Platform]
The DataKitchen DataOps Platform is your command center for DataOps. The Platform automates the key functions of your development & production workflows, so cross-functional teams can seamlessly collaborate, quickly innovate, & instantly deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.

[Transcript]
The biggest challenge in data analytics is that projects are failing. Gartner estimates that fifty to eighty percent of all data analytics projects fail despite having great new people like data scientists, great new tools, and databases.150 billion dollars is spent every year in tech. It fundamentally comes down to a people and process problem, and that's what DataOps tries to address. It focuses purely on helping people in their process with their tools with all their data be successful and deliver unparalleled insight to their customers.

Your customer of data analytics lives in an Amazon world. They want insight, but they want a package of insight delivered tomorrow quickly. What makes that insight is a lot of people in many locations with a lot of data and a lot of tools. Whether they're called data science or data
engineering or data visualization, they're all part of that value chain to support that insight to deliver to customers, and the challenge is they may not work for the same boss.

The solution is DataOps. It's not just about, "Let's get everyone in a meeting and come by to collaborate." It's actually a technical platform to plug all those people in all those locations with all their data and all their tools to do the work.

The first key to DataOps is to think of it as a factory. You've got lots of people and lots of tools, and you want to build data analytic products with very low errors. So focusing on error rates is key.

The DataKitchen DataOps Platform allows you to orchestrate every tool in your production pipeline, all the way from data to the value your customer receives. You can automate tests at every step to virtually eliminate costly and embarrassing errors.

The second is to think of your team as a software development team, all that great work they're doing, and whatever tool they're using - how fast can it get from their fingertips into your customers' hands.

The second pipeline of DataOps is called the development or innovation pipeline. In the DataKitchen DataOps Platform, you can quickly spin up work environments where your team can safely create features, test them, and deploy them into production with high confidence that they do not break anything.

If you lead a data and analytic team, you need to show your value, so you need to measure the work that your team is doing, and that means focusing on a few key things: errors, deployment speed, and productivity. They all should go in a report that shows your value as a leader, and that's the kind of thing that DataOps is trying to help you do.

Using the DataKitchen DataOps Platform, you'll be able to reclaim control of your complex multi-tool data analytic pipelines and deliver value instantly without errors. You'll see an enormous increase in productivity and innovation. Your team will spend less time fixing errors and working on operational tasks and have more time to create new features. You'll improve cycle times from months or weeks to hours or minutes, reduce production errors to virtually zero, and have happier, more productive employees.

Contact us to learn more about DataOps today.