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.

Data maturity is the key to growth. Most businesses are in the data race at some level. But the fastest-growing companies are also the ones furthest ahead in data maturity.

At the second graph tour I attended for Neo4j in Boston earlier this month, and the fourth event that has taken place so far, I got a fascinating update that showed how the use of graphs gradually ...

Opinion: CLOC's Oyango Snell says legal operations leaders should aim to integrate their teams with other business units, ...

Nov. 17, 2021 — The growth rate of companies’ data maturity has almost doubled since 2018, from 8% to 15%. Thirteen percent of companies are at the highest level of data maturity in 2021, compared ...

Data intelligence specialist Collibra has sponsored a new IDC white paper, the 2022 Data Intelligence Index, that finds organizations with higher levels of maturity concerning data intelligence are ...

The Data Quality Maturity Curve. What does your data quality need? Introducing the Data Quality Maturity Curve. Data quality is important—no doubt about it. But like any new data practice, developing ...

As Veeam Software Group GmbH, the market leader in data resiliency, holds its annual user event VeeamON in San Diego this week, it's on a roll, continuing to stretch its lead over the legacy vendors.

Data maturity of local organisations varies. The Deloitte research, commissioned by Amazon Web Services, surveyed 275 businesses with more than 100 employees, of which 66 are based in New Zealand.