The Data and analytics maturity model is a tool to chart a path toward improving overall organizational capability. Organizations typically do not fit neatly into one of the four maturity levels.

Despite the potential of data to improve business performance, data analytics projects have a poor success rate. Gartner says that only 20% of analytic solutions deliver business outcomes.

Additionally, through multiple 2022 surveys, IDC has charted organizations’ data analytics capabilities and benefits within a four-stage maturity model. Top 10 best practices for data analytics ...

Are data-informed targeted interventions in place at the individual level, where appropriate? If the answer to either of these considerations is “no,” then you will need to modify your expectations ...

Data maturity is represented by a five-stage model. Where your organization lands is dependent on how important data is to your operation, as well as your investment in analytical resources. The five ...

Data & analytics maturity model: Going from reactive to transformative. Effectively translating the data deluge to tangible and clear-cut business outcomes may be challenging.

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 ...

HIMSS Analytics, a subsidiary of HIMSS, created the Adoption Model for Analytics Maturity in 2016 as a framework and benchmarking system to help hospitals guide and measure their data science efforts.

The assessment uses the industry-neutral DELTA Model framework to measure maturity across five critical analytic competencies: Data, Enterprise approach, Leadership, Targets and Analysts.