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Sales Hub

Understand customer needs, develop services and evidence value, operations and economics.

Turn customer needs into a repeatable service? Work through all 12 areas and 58 canvas questions →

Entry for non-technical sales

Sharpen the deal first. Then choose tools.

The hub does not start with governance terms. It turns a vague customer conversation into four simple sales decisions.

Start here: governance without prior knowledge
  1. Conversation signal What are we really hearing? Understand the signal →
  2. Owner Who decides in the business? Clarify the owner in the deal card →
  3. First slice What do we deliver first? Capture the first scope →
  4. Stop rule When is it not a clean deal? Check objections and stop rules →

Entry by knowledge level

Shared language first, then tools

Sales does not need to explain governance technically. Tech should not have to guess what the customer conversation meant. This path gives both sides the same translation.

Recommended stories for sales

No governance knowledge What are we selling here at all? Governance in sales language: decision, accountability, evidence, and boundary. Vague customer conversation Translate the signal into a deal card Do not guess what the customer needs: clarify signal, decision, scope, evidence, and stop rule. Transition to tech What delivery really needs from sales Tech receives decisions, open assumptions, and non-scope instead of sales prose. Understand the business goal What a data strategy means for a company From business goals to data decisions: understand where governance helps. Explain the value Why governance can reduce effort Explain less rework, escalation, and change friction as concrete customer value. Assess effort What makes this deal demanding? Check the current state, sources, stakeholders, and unclear accountability before making an offer.

Put the data catalog in context

Why the data catalog is not the entry point

First establish the customer decision to support. The deal card and customer guide capture the goal, responsibility, scope and evidence. This determines the catalog capabilities the project actually needs.

Start with the customer decision →

Why the data catalog matters

The catalog makes governance visible on the data: terms, owners, lineage, quality evidence and usage boundaries become discoverable together. Business and technical teams can identify suitable data, approval responsibilities and missing evidence. This requires maintained content and accountable processes.

Why a data catalog makes governance visible →

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