Gartner predicts 80% of D&A Governance Initiatives Will Fail by 2027
By 2027, 80% of data and analytics
(D&A) governance initiatives will fail due to a
lack of a real or manufactured crisis, according to Gartner, Inc.
“A D&A governance program that does not enable
prioritized business outcomes fails,” said Saul Judah, VP
Analyst at Gartner. “Through recent crises, such as COVID-19 or increased
energy costs, chief data & analytics officers (CDAOs) who successfully
helped their organizations navigate through those disruptions, understood the
crisis and quickly pivoted D&A to help business leaders address it.”
Taking a strategic approach to D&A governance
and positioning it as an essential business-centric model is more significant
than a tactical approach, where D&A teams operate governance reactively,
focusing on just one asset – data-only governance.
“CDAOs should stop taking a center-out,
command-and-control approach to D&A governance, and instead, rescope their
governance to target tangible business outcomes, make it sensitive to
opportunity and risk, and agile and scalable as their organization evolves,”
said Judah.
Gartner analysts said that the typical
“one-size-fits-all” governance approach used today is not the approach needed by most
organizations.
Adoption
of GenAI Will Refresh Outdated D&A Governance
As the adoption of artificial intelligence (AI) and generative AI (GenAI) technologies accelerates, CDAOs also have the chance to
renovate outdated D&A governance practices, and include AI as part of their improved governance program. AI governance is the process of assigning and assuring organizational
accountability, decision rights, risks, policies and investment decisions for
applying AI.
At the same time, CDAOs should incorporate AI and
GenAI-enabled capabilities to their D&A governance program. Gartner
predicts that by 2027, the
application of GenAI will
accelerate time to value of D&A governance and master data management
programs by 40%.
“Before CDAOs embark on delivering GenAI use
cases, they must ensure their organization’s core, genetic information is well
governed. For this, they should use and prioritize GenAI capabilities that
would lead to faster time to value for their governance program,” said Anurag Raj, Sr
Principal Analyst at Gartner. “GenAI capabilities can help in this through
ramping productivity in governance activities such as cataloguing
and classification, broader and easier adoption (e.g., better self-service
capabilities), or capabilities that solve specific business challenges, such as
enriching customer data for better targeting.”
Gartner clients can read more in “Predicts 2024: Data and Analytics Governance Requires a
Reset.” Learn how to build a value-driving AI strategy using
the complimentary Gartner
AI Strategy Planner.
Gartner Data & Analytics Summit
Gartner analysts will provide additional analysis
on data and analytics trends at the Gartner Data & Analytics Summits,
taking place March 11-13 in Orlando, FL., March 26-27 in São Paulo, April 24-25 in Mumbai, May 13-15 in London, May
21-23 in Tokyo, and July 29-30 in Sydney. Follow news and
updates from the conferences on X using #GartnerDA.
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