Webinar – November 28, 2023: 12 pm EST

Beyond Data Observability: Personalized Data Journey

Most Data Teams need more visibility into production systems to deliver successful analytics due to data 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 they can get their trusted dashboard refreshed.

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. This is where the true power of looking beyond data Observability comes into play, and it’s time to get acquainted with its two critical parts: ‘Data in Place’ and ‘Data in Use.’

However, 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. As opposed to receiving one-size-fits-all status updates, these key stakeholders desire real-time, granular insights into the status of their specific data as it traverses the complicated data production pipeline.

Specifically, Chris will cover the following:
Why do both “data at rest” and “data in use” need Observability.
Personalized, payload-based Data Journeys.
Why current Data Observability solutions fall short.About the Speaker

Chris Bergh is the Co-Founder, CEO, and Head Chef of DataKitchen, an independent DataOps Observability and Automation software company. He has more than 30 years of research, software engineering, data analytics & executive management experience. At various points in his career, he has been a NASA Researcher, COO, CTO, VP, and Director of Engineering. Chris is a recognized expert on DataOps. He is the co-author of The DataOps Cookbook & The DataOps Manifesto & Data Journey Manifesto & a speaker on DataOps at many industry conferences. You can follow Chris on Twitter @ChrisBergh.

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Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.