Enterprise data buyer intelligence helps data platform, analytics, governance and AI infrastructure vendors prepare for conversations with CDOs and senior data leaders. These guides focus on trusted data, accountable ownership and the evidence needed to connect a data investment to a business decision.
The Leadership Board’s Enterprise Data Buyer Intelligence turns recurring themes from senior enterprise data conversations into practical guidance for data platforms, analytics providers, governance vendors and AI infrastructure companies seeking access, shortlist consideration and budget.
Where enterprise data investment is moving
AI-ready data and governance
Understand how enterprise buyers are approaching trusted data, AI readiness, governance and the controls required to scale AI safely.
Data quality, ownership and metadata
See how ownership, lineage, metadata, quality and data literacy influence investment decisions and operational confidence.
Decision intelligence and data value
Explore the proof points that connect data investment to better decisions, commercial outcomes and a defensible internal business case.
Enterprise data technology buying
Learn how enterprise data buyers evaluate vendors, why deals stall and what providers need to prove to make the shortlist.
Buyer intelligence for vendors, not generic data theory
Our buyer intelligence is informed by ongoing conversations with senior enterprise leaders through roundtables and leadership communities. The purpose is to help vendors understand the problems enterprise data teams are actually trying to solve and enter the conversation with greater relevance.
Prepare for conversations with enterprise data buyers
- Choose the decision your solution will improve. Specify the data domain, the people using it and the quality, access or ownership problem that currently limits it.
- Make dependencies visible: source systems, metadata, lineage, stewardship responsibilities and the work needed before a platform can deliver value.
- Use the data technology buying guides to prepare a build-versus-buy discussion and an evaluation plan with a baseline, a responsible owner and agreed acceptance criteria.
Explore the Data programme calendar and discuss how your proposition relates to the enterprise data audience you want to engage.