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. EXECUTIVE SUMMARY
In today’s data-driven digital economy, organizations are increasingly looking for competitive
advantages through reporting, analytics, and operational eiciencies. While this has been
true for many years, there is an increasing maturity in the Data Management space as more
organizations look to focus on Data Governance, Data Quality, and Data Security to ensure a
solid data foundation for these eorts.
While Digital Transformation continues to be a priority for organizations, the importance has
shied toward using digital technologies and data to support customer satisfaction, rather than
as an eort in and of itself.
With data becoming increasingly important as a business asset, more business stakeholders are
looking to take an active role in Self-Service Reporting as well as Data Governance. To meet this
demand, Data Literacy is becoming increasingly important, and was cited in the DATAVERSITY
2022 Trends in Data Management Survey, as a current lack in the industry. Similarly on the
technical side, data-centric skills are in high demand, with a cited gap in skills resources to
meet this demand.
Some of the highlights of this paper include:
• 43.29% of the participants surveyed claimed they have an enterprise-wide eort around
Data Management.
• When asked about the reasons for implementing a Data Management program, the top
two choices were “gaining insights from Data Analytics” (74.29%) and “saving costs and
increasing eiciency” (66.43%).
• A mature Data Governance program was expressed as a goal for many, and the use of
metadata is an emerging interest by those not already yet using it.
• The lack of Data Literacy and a skilled workforce remains a source of frustration.
• On-premises relational databases were clearly the most popular form of platform currently
being used at 75.00%. Spreadsheets are still at 70.16%. 21.77% are using on-premises,
“non-relational” databases.
• 51.97% of the respondents claimed their organization was actively using Data Modeling.
• Data Mesh and Data Fabric were listed as top Data Management priorities for 2022–2023.
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