Three Imperatives Driving the Top Trends in Data and Analytics for 2022

Three Imperatives Driving the Top Trends in Data and Analytics for 2022

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Data & Analytics (D&A) leaders should embrace three imperatives when leveraging the top D&A trends for 2022 in their enterprise, according to Gartner. The three key areas are: Activate Dynamism and Diversity, Augment People and Decisions, and Institutionalize Trust.

“This year’s top D&A trends represent business, market, and technology dynamics that will help organizations anticipate change and transform uncertainty into opportunity, both of which have come under the purview of the D&A leader,” said Rita Sallam, distinguished research vice president at Gartner.

In 2022, Gartner identified 12 top trends in D&A that span the following three core categories:

Activate Diversity and Dynamism

The rise of adaptive AI systems, such as AI engineering, drives growth and innovation while coping with fluctuations in global markets. Innovations in data management for AI, automated, active metadata-driven approaches, and data-sharing competencies, all founded on data fabrics, unleash the full value of data and analytics. The 2022 trends in this category include adaptive AI systems, data-centric AI, metadata-driven data fabric, and always share data.

Augment People and Decisions

To make insights relevant to decision-makers, D&A leaders must deliver enriched, context-driven analytics created from modular components by the business. This includes prioritizing data literacy and putting in place strategies to address the scarcity of data and analytics talent. The 2022 trends in this category include context-enriched analysis, business-composed D&A, decision-centric D&A, and skills and literacy shortfall.

Institutionalize Trust

Achieving value from D&A at scale is only possible by managing AI risks and enacting connected governance across distributed systems, edge environments, and emerging ecosystems. The 2022 trends in this category include connected governance, AI risk management, vendor and region ecosystems, and expansion to the edge.

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