Forrester: DataOps for the Intelligent Edge of Business – Further Reading Recommendations

In Forrester’s recent report, DataOps for the Intelligent Edge of Business, Michele Goetz, et al., describe how data teams are facing challenges “about data to support the return on investment and experience.” In fact, “no amount of investment in new big data systems, cloud migration, modern data warehousing, or data integration will completely solve the problem. The approach to data is shifting toward DataOps.”

We agree and you can read more about why DataOps matters in our blog, For Data Team Success, What You Do is Less Important Than How You Do it.

Below we provide additional suggestions for further reading based on Forrester’s principles for advancing DataOps.

Prioritize the quality and value of deliverables“To ensure data products succeed, adopt a test-driven development protocol to create tests upfront and maintain repeatable unit tests that can also be markers for upstream policy compliance.”

Speed up delivery for shorter development cycles “Agile development strategy shifts the goal post for deliverables from complete platform solutions to smaller products defined by quality and value-based milestones.”

Build for reuse, flexibility, and elasticity – Data “products become building blocks for a variety of analytics and application solutions…” 

Govern data by design“DataOps addresses data governance policies through the creation of rule-based services and processes.”

Executive through inclusive teams – “DataOps works in synchronous and asynchronous fashion with DevOps, ModelOps, and data governance teams.

Forrester concludes with recommendations for technology investment, in particular for lineage, impact, and root cause analysis.  “Vendors such as DataKitchen are addressing this problem with detailed views of data flows and error rates.”

For more information, you can read the complete Forrester report here.

Sign-Up for our Newsletter

Get the latest straight into your inbox

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.

recipes for dataops success

DataKitchen Consulting Services


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 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
Thirty thousand signatures can't be wrong!


DataKitchen Basics

About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts


Come join us!


How to connect with DataKitchen


DataKitchen News


Hear the latest from DataKitchen


See DataKitchen live!


See how partners are using our Products