How DataOps creates business value from big data

The following blog post summarizes a recent article Zaloni’s CEO, Susan Cook, wrote for  SearchDataManagement about the rise of DataOps and how it’s become key to creating business value from big data. 

The past 10 years were spent building out the infrastructure for big data and the next decade will be for making data the true currency of value creation for organizations both large and small.  

The Rise of DataOps 

Two complimentary developments have contributed to the rise of what many companies refer to today as DataOps. First, is the development of the agile data management framework known as DataOps. 

Gartner describes DataOps as “a collaborative data management practice focused on improving the communication, integration, and automation of data flows between data managers and data consumers across an organization.” 

DataOps is about reorienting data management to be about value creation. The DataOps mentality stresses cross-functional collaboration in data management, learning by doing, rapid deployment and building on what works. 

Second is a new generation of technology and tools that makes DataOps attainable for many organizations. 

 

DataOps Technology Drivers

The key to making DataOps a reality is the right technology. Here are a few of today’s technology drivers: 

• Extensible Platforms: Today’s data is sprawled across data silos and environments. With an extensible platform, you can catalog and use data wherever it resides without having to move data into a “data lake” environment. 
• Augmented Data Catalog: Just as an extensible platform enables companies to leverage data regardless of where it resides, next-generation metadata catalogs, where data is easily accessed, tagged, annotated, enriched and shared, allows companies to orchestrate their current data management systems and turbocharge their performance. 
• Self-Service: Today’s data management systems provide a breakthrough capability once only dreamed of by most enterprises — true self-service data access and provisioning. Self-service allows data end-users to quickly find, prepare and use relevant data, reducing time to analytics and the burden on IT. 

 

How to Succeed with DataOps: 

Innovative companies are leveraging new technologies and the DataOps methodology to drive initiatives that deliver business value. 

One example is a regional financial services company that leveraged an extensible data platform to integrate siloed data across five lines of business and third-party sources to create a 360-degree views or “golden records” of its customers.

The company then made that data available to end-users through a metadata catalog, providing self-service access to its data scientists that resulted in eight hours per day of saved data engineering work and the ultimate prize of increased revenue through personalized sales and marketing efforts.

Data has the potential to be one of every company’s most valuable resources. The Agile approach of DataOps, turbocharged by a powerful new generation of data management platforms and tools, is flipping the script on who gets to benefit most from data. 

For the full article, visit https://searchdatamanagement.techtarget.com/feature/Using-DataOps-to-create-business-value-from-big-data.