PITTSBURGH--(BUSINESS WIRE)--CMMI® Institute today unveiled the Data Management Maturity (DMM)™ model to enable organizations to improve data management practices across the full spectrum of ...

“The Data Management Maturity model is something that the overall data-management and IT industry have been waiting for for a long time,” said Melanie Mecca, program manager of the CMMI Institute.

Responding to the imperative for corporate data management strategies, Cribl helps its customers develop a data maturity model. This framework allows them to assess their current state and plan ...

New research 1 underscores the common challenges many enterprises face in advancing their Value Stream Management (VSM) maturity levels for digital transformation, emphasizing the crucial need for ...

The Data Mapping product has been designed to address the issue wherein privacy professionals need to identify where data is stored and which systems contain personal information.

• Data & Analytics Operating Model. Data Platform. ... Based on where the enterprise is on the data management maturity, there can be a centralized, decentralized or federated D&A organization.

Business size, geography, data management maturity, DataOps best practices, the operating model for data management and data delivery functions (whether centralized, ...

But depending on the maturity of their data management practices, they may or may not be ready to go about implementing such technologies. Now, I’m not here to give you advice about the fraught ...