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Reducing Organizational Complexity with DataOps

Reducing Organizational Complexity with DataOps

Organizational complexity creates significant problems, but executives in a McKinsey Survey showed little understanding of the types of complexity that create or destroy shareholder value. In their research, McKinsey identified two types of complexity: Institutional...

Failing Your Way to Success with DataOps

Failing Your Way to Success with DataOps

Have you ever failed at work? Most people have done something cringeworthy at some point. I have plenty of funny stories to tell. There’s the time I set off the fire alarm on my first day of a new management job. Perhaps even more notable are the epic fails. I once...

A Guide to Understanding DataOps Solutions

A Guide to Understanding DataOps Solutions

Breaking Through the Noise A Guide to Understanding DataOps Solutions DataOps is the hot topic on every data professional’s lips these days, and we expect to hear much more about DataOps in 2020.  This is not surprising given that DataOps holds true potential for...

What a DataOps Platform Can Do For You

What a DataOps Platform Can Do For You

Leading software companies perform millions of code releases per year. Typical data-analytics organizations perform less than 10. This gap explains why most data-analytics projects fail to deliver. Without the capability to move at lightning speed, data analytics...

DataOps Soars in 2019

DataOps Soars in 2019

As recently as eighteen months ago, we would mention “DataOps” and get blank stares.  As recently as eighteen months ago, we would mention “DataOps” and get blank stares. Today, analyst firms Gartner, Eckerson, 451, and Forrester publish extensively on DataOps and...

How to Get Started with DataOps

How to Get Started with DataOps

At DataKitchen, we are believers in delivering value. We work with our customers to find a first project that can drive real benefits and meet their critical business needs. Customers use our DataKitchen technology and their experience to address a focused business...

2019 DataOps Survey .. Errors and Slow Innovation Abound

2019 DataOps Survey .. Errors and Slow Innovation Abound

Survey Finds Majority of Businesses in the U.S. and Europe are Taking Months to Deploy New Analytics; Data Plagued with Errors Upon Delivery to Customers “CAMBRIDGE, Mass.–(BUSINESS WIRE)–“DataKitchen, Inc, the first and leading DataOps platform that manages analytics...

A summary of Gartner’s Recent DataOps Report and recommendations

A summary of Gartner’s Recent DataOps Report and recommendations

A summary of Gartner’s recent DataOps report and recommendations on further reading: Gartner Research “Introducing DataOps Into Your Data Management Discipline” Published: 31 October 2019 ID: G00376495 Analyst(s): Ted Friedman, Nick Heudecker Summary “To relieve...

“The Unicorn Project” Review & DataOps Excerpt

“The Unicorn Project” Review & DataOps Excerpt

“[DataKitchen CEO] Chris [Bergh] had a huge impact on the development of "The Unicorn Project", and helped me see the parallel universe of DataOps.” -Gene Kim, Author of "The Unicorn Project™" Almost everyone in the software development world has read a...

Behind A Great Company, There is DataOps

Behind A Great Company, There is DataOps

Recently, Amgen purchased the pharmaceutical unit of Celgene responsible Otezla for $13.4 billion. Otezla is not your typical run-of-the-mill M&A blockbuster. They are a DataOps pioneer. DataKitchen is proud to count ourselves as a key partner in Otezlas DataOps...

Why Do DataOps

Why Do DataOps

Why Do DataOps If you are frustrated with your enterprise’s data analytics, you are not alone. VentureBeat reported that 87% of data science projects never make it into production. It’s no surprise then that, despite soaring investments in AI and data science, the...

Automated Efficiency and Quality with DataKitchen

Automated Efficiency and Quality with DataKitchen

As we wrote in our last blog, a pharmaceutical company faced numerous difficulties when implementing marketing automation for multiple global business units: Difficulties with database drift and database integration Lack of technical infrastructure to implement Agile...

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 Data & Analytics Platform for Pharma

Get trusted data and fast changes to create a single source of truth

 

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
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

Careers

Come join us!

Contact

How to connect with DataKitchen

 

DataKitchen News


Newsroom

Hear the latest from DataKitchen

Events

See DataKitchen live!

Partners

See how partners are using our Products

 

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.