DMC01 — Nav
DMC01 — Data Monetisation Concept

Strategy compiled like code

Data Monetisation Concept

DMC01 makes it work by aligning what you sell, how you deliver it and how your clients use it.

DMC01 — Six Modules
Product

The building blocks of a working data business.

Six modules, each targeting a critical layer. Combined, they create a coherent operating architecture that holds together in the market.

  1. Advisory and review of Master Service Agreements (MSA), order forms, and commercial terms governing data licensing and delivery. Aligns contractual language with monetisation best practice — including modern use cases such as API distribution, downstream access or consumption to derived data, and AI-driven applications with clearly defined permissioning tiers.

    What's included

    • MSA & order form clause review with redline recommendations
    • Trial Agreement review and alignement on permitted workflows
    • AI-use permissioning matrix across data tiers
    • Redistribution & downstream use framework
    • Audit-ready entitlement model

  2. Design and assessment of pricing frameworks and commercial models (seat-based, usage-based, enterprise, embedded). Aligns pricing with packaging, segmentation, and real client workflows, from direct data consumption to advanced integration use cases, ensuring models scale as customer utilisation and value creation evolve.

    What's included

    • Pricing framework design across seat / usage / enterprise / embedded
    • Bespoke workflow rights aligned onto transfer of IP and corresponding premium
    • Segmentation-driven pricing tiers with elasticity assumptions
    • Three-year revenue projection scenarios
    • Discounting guardrails & commercial governance

  3. Strategic input on long-term product development — including prioritisation of data assets, API improvements, and delivery channels to support future scalability and monetisation. Translates business ambition into a sequenced delivery plan with clear trade-offs and dependencies.

    What's included

    • Roadmap outline with quarterly sequencing
    • Asset prioritisation matrix (impact × effort × dependency)
    • Trade-off framework for build / buy / partner decisions
    • Delivery planning & resource modelling

  4. Product positioning and value proposition design. Includes review or creation of pitch decks and go-to-market narratives that equip Sales and Pre-Sales teams to articulate the commercial and strategic value of data products to specific buyer personas.

    What's included

    • Pitch deck refinement (cover, problem, solution, proof, CTA)
    • Persona-mapped value propositions with proof points
    • Sales enablement playbook & objection-handling guide
    • Discovery question library by buyer role

  5. Review or creation of data packaging strategy, ensuring alignment with customer workflows, investment strategies, and commercial models. Covers asset-type bundles, regional groupings, and thematic or cross-asset packages calibrated for clear price/value laddering.

    What's included

    • Tiered package architecture
    • Asset-type bundles aligned to buyer workflows
    • Entity Mastery evaluation
    • Thematic cross-asset packages
    • Data Dictionary & Content Methodology guidance
    • Data-driven evaluation of packaging options

  6. Technical and functional advisory on data delivery channels — APIs, file-based delivery, marketplace listings. Includes endpoint specifications, recommended delivery workflows, and architecture for listing on platforms such as Snowflake or Databricks.

    What's included

    • OpenAPI endpoint specifications & field-level documentation (pre-requisite for MCP servers)
    • Snowflake / Databricks marketplace listing specifications
    • Delivery workflow architecture (real-time / batch / hybrid)
    • Latency & SLA framework with monitoring approach
DMC01 — Solutions · What this unlocks
Solutions

What this unlocks.

Four outcomes built from the modules above. Each one reflects a different way to make your data business work in practice.

Sell better.

A commercial model that holds up in real conversations. Pricing, packaging and licensing aligned so your team sells what actually works for the client. Enterprise selling is at the heart of it.

Modules involved

Launch and land.

New offerings brought to market with alignment from day one. Product, pricing, licensing and delivery moving on the same timeline.

Modules involved

Deliver at the right level.

Delivery designed around how clients actually use your data. APIs, streaming, marketplace-native, and MCPs that match real workflows, not internal constraints.

Modules involved

Stand up to scrutiny.

A model that holds under pressure. Pricing, packaging and projections grounded in how clients behave, and robust enough for internal review, investor conversations and due diligence.

Modules involved
DMC01 — Powered by a rigorous framework
Framework

How the work actually gets done.

A structured approach from initial framing through to execution. Short cycles at the edges, deeper work where alignment is built and decisions stick.

  1. 01
    Learn ~ 2 weeks

    Framing & Alignment

    Align stakeholders, define the real problem, set a direction that holds. Formalised by the approval of a bespoke Statement of Work and execution of contractual terms.

    STATEMENT OF WORK PARTIES SCOPE & DELIVERABLES COMMERCIALS DMC01 Director CLIENT Authorised AGREED
  2. 02
    Think 2–4 weeks

    Design & Coordination

    Build the plan across commercial, product and delivery so everything moves together.

    Sales lead "Pricing risk" Product manager "Adoption gap" Data officer "Licensing" Legal counsel "AI clauses" PROBLEM STATEMENT → Coordinated plan
  3. 03
    Build 1–4 months

    Diagnosis & Direction

    Identify what matters, prioritise actions, and establish a single source of truth.

    notion.so / dmc01 / discovery WORKSPACE ▾ DMC01 · Project • Discovery notes • Findings • Recommendations • Roadmap draft SHARED • Stakeholder map • Data inventory Discovery findings Last edited 4 min ago · Greg Pricing audit complete — three monetisation gaps identified Stakeholder map drafted, validated with Sales & Data Quick-win backlog scored by impact × effort × dependency REVENUE OPPORTUNITY · ANNUAL Pricing Packaging Marketplaces Tools +38% YoY
  4. 04
    Execute 1–6 months

    Execution & Iteration

    Work with teams to implement, test and refine until it works in practice.

    ▱ Figma · Pricing.fig PRICING TIERS BASIC $1k/mo 2 seats EU only REST API PRO $5k/mo 10 seats Global Stream + REST ENTERPRISE $50k+ Unlimited SLA + DPA Bespoke { } VS Code · roadmap.md 1 # Roadmap — Pricing & Packaging 2 3 ## Q1 · Foundation 4 - [x] Pricing model rebuilt 5 - [x] Tier definitions 6 - [ ] API entitlements 7 8 ## Q2 · Build 9 - [ ] Snowflake listing 10 - [ ] Databricks marketplace 11 - [ ] Streaming endpoints 12 // see assumptions.md
  5. 05
    Deliver ~ 2 weeks

    Embedding & Handover

    Transfer ownership so the model runs in production.

    EXECUTIVE BRIEF Monetisation Strategy 2026 — H1 Key findings $2.5M revenue opportunity 3 priority initiatives 12-month sequenced roadmap REVENUE PROJECTION · 3-YEAR + HANDOVER PLAYBOOK TEMPLATES + BUNDLE OWNER Internal team From day one
3 months min 12 months typical up to 18 months
DMC01 — Work with me, what to expect?
Work with me

Work with me, what to expect?

Portrait of Grégoire Haftman
Grégoire Haftman
Founder · Director

In my experience, flashy claims don't build trust — results and relationships do. Over the years, I have had the privilege of working with exceptional teams, clients, and partners across the financial data world. This is what spurs me on to do what I do: to help organisations build stronger, more sustainable data businesses.

What you can expect from me is a way of working grounded in clarity, rigour, and collaboration. I'll challenge assumptions when it helps, bring practical solutions you can act upon, and stay close to the details that make strategies work in real life.

  • 15+ years sector expertise
  • $7m ARR built from scratch
  • Customer Success, Pre-Sales, Management & Product
What people say
Very exciting for all the companies that will now get direct access to Greg's invaluable expertise. Working with you over the past few years has really been inspirational! I can't think of many people who bring a unique combination of technical skills, commercial acumen, and business savvy while staying uniquely professional, fair, and genuine. Being both detail oriented and innately able to see the bigger picture while being both necessarily sceptical yet contagiously optimistic makes Greg a truly unique talent.
Head of Pre-Sales
Macrobond Financial
Greg was my second hire when I joined Macrobond and he was a massive success. He built our datafeeds business from scratch, running everything from product design through to marketing and GTM. I have no hesitation in recommending him to anyone looking to scale a data business.
Head of Sales · Former CCO
Regnology
Data without a business model is just a lake. Only senior architects like Greg can turn it into a flowing system that nourishes the industry. Exciting stuff and looking forward to your great contribution to the industry!
Product Manager
Macrobond Financial
Greg's expertise is a real asset and any client will be lucky to have them on their side. Best of luck on this exciting journey!
Solution Architect
SAP Fioneer
Any firm getting Greg's advice will get the best value they can hope for. I really appreciated your immense contribution at Macrobond.
Product Specialist
Abaris Investment Management
As someone that has witnessed (and benefited from) the value of Greg's insights firsthand, I have no doubt you will be successful!
Senior Account Executive
9fin
I can only recommend Greg to anyone!
Head of Customer Solutions
FactSet
Your professionalism and market knowledge will make you successful in this new adventure!
VP Sales
FactSet
I am sure your new customers will benefit from your insight and hope we get to work together again one day.
Product Strategist
Charles River Development
Amazing move! I highly recommend anyone to try your services!
VP of Business Development
Engine AI
DMC01 — Open a brief
Contact

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Tell me about your industry, the datasets, the team, and what you're trying to unlock. I read everything that comes through and reply within one working day.

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