Expanding AI initiatives are increasing pressure on organizations to provide trustworthy data, but many governance programs remain fragmented or focused on management mechanisms. Info-Tech Research Group’s Activate Data Governance blueprint provides data and IT leaders with a four-phase methodology to clarify decision authority, establish guardrails, and embed governance into how the organization operates. ARLINGTON, Va.,...

Expanding AI initiatives are increasing pressure on organizations to provide trustworthy data, but many governance programs remain fragmented or focused on management mechanisms. Info-Tech Research Group’s Activate Data Governance blueprint provides data and IT leaders with a four-phase methodology to clarify decision authority, establish guardrails, and embed governance into how the organization operates.

ARLINGTON, Va., Aug. 31, 2026 /CNW/ — Every organization that uses data already has some form of data governance because decisions are being made about how data is defined, accessed, shared, and used. According to Info-Tech Research Group, the problem is that these decisions are often fragmented across risk, privacy, finance, product, and legacy data management practices. Without a consistent framework, teams may resolve the same questions differently while investments in catalogs, glossaries, and technology create activity without measurable impact.

To help organizations establish a consistent system for data-related decisions, Info-Tech’s Activate Data Governance blueprint explains how to identify the decisions that matter, direct them to people with the appropriate authority and expertise, codify the outcomes into guardrails, and integrate governance into existing organizational structures.

“Data leaders often reach for glossaries, catalogs, and quality tools first because those mechanisms feel actionable. The problem is that tools cannot decide what ‘trusted’ means, who has authority, or which trade-offs are acceptable,” says Nysa Zaran, research director at Info-Tech Research Group. “Those are business judgments. Governance starts when the right people make them and turn the outcomes into guardrails the organization can apply.”

According to Info-Tech’s Future of IT 2026 Survey, 72.5% of organizations are currently invested in data management solutions and plan to increase that investment. Improving data governance also ranked as the leading data priority both for supporting AI goals, cited by 30%, and outside AI, cited by 40%. The firm emphasizes that the findings point to a disconnect between investment in management solutions and the unresolved governance decisions needed to guide them.

Key Data Governance Pitfalls Info-Tech’s blueprint identifies three common misconceptions that can derail data governance efforts:

Info-Tech’s Four-Phase Framework to Activate Data GovernanceThe Activate Data Governance blueprint recommends that organizations activate data governance through the following four phases:

Phase 1: Define the Decisions the Organization Needs to Make. Identify governance drivers, connect data issues and risks to organizational objectives, and articulate the purpose of the governance program.

Phase 2: Define the Decision-Making Framework. Align governance with existing organizational structures, clarify roles and membership, and establish processes to raise and escalate issues.