Do You Need DataOps? Take Our 1-Minute Survey

DataOps is a hot topic these days.ย ย It’s not surprising given that DataOps holds true potential for enabling enterprise data teams to generate significant business value from their data.ย ย Companies that implement DataOpsย find that they are able to slash cycle times from weeks (or months) to one day, virtually eliminate data errors, and dramatically improve the productivity of data engineers and analysts.

Does your organization need DataOps?ย  Take this 1-minute survey to find out and also see how you stack up against your peers.

Create your own user feedback survey

Results

25% or lowerย – Great job, you’ve got a smoothly functioning data organization.

25-50%ย –ย  You’re doing okay, but there is room for improvement.ย 

50-75%ย –ย  DataOps can definitely help eliminate bottlenecks in cycle time and/or errors.ย 

75% or higherย – Call in the DataOps consultants.ย ย 

Don’t worry if you scored on the high end, you are far from alone.ย  See how you stack up against other organizations by reviewing the results from ourย 2019 DataOps Survey.

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Open Source Data Observability Software

DataOps Observability: Monitor every Data Journey in an enterprise, from source to customer value, and find errors fast! [Open Source, Enterprise]

DataOps Data Quality TestGen: Simple, Fast Data Quality Test Generation and Execution. Trust, but verify your data! [Open Source, Enterprise]

DataOps Software

DataOps Automation: Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change. [Enterprise]

recipes for dataops success

DataKitchen Consulting Services


Assessments

Identify obstacles to remove and opportunities to grow

DataOps Consulting, Coaching, and Transformation

Deliver faster and eliminate errors

DataOps Training

Educate, align, and mobilize

Commercial Pharma Agile Data Warehouse

Get trusted data and fast changes from your warehouse

 

dataops-cookbook-download

DataOps Learning and Background Resources


DataOps Journey FAQ
DataOps Observability basics
Data Journey Manifesto
Why it matters!
DataOps FAQ
All the basics of DataOps
DataOps 101 Training
Get certified in DataOps
Maturity Model Assessment
Assess your DataOps Readiness
DataOps Manifesto
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DataKitchen Basics


About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts

Careers

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Contact

How to connect with DataKitchen

 

DataKitchen News


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Partners

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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.