Data Strategy & Analytics Consulting Offer
A focused consulting engagement to help you move from scattered reports and ad-hoc dashboards to a clear data strategy, governance model, and analytics roadmap, designed to support real business decisions today and AI use cases tomorrow.
What this engagement covers
- Data vision & use cases: aligning leadership on where data should create value (margin, growth, risk, operations).
- Current-state assessment: quick scan of reports, dashboards, data sources, and pain points for users.
- Data model & architecture view: a high-level picture of how data should flow across systems and teams.
- Governance & ownership: who owns what, how decisions are made, and how quality is maintained over time.
- Analytics & AI readiness: identifying priority domains where better data and analytics can support AI copilots and automation.
Who it is for
- Executive, finance, or operations leaders who feel the data “doesn’t match the business” anymore.
- Data / analytics leads who need a practical data strategy, not a 200-page architecture document.
- Organizations preparing for AI and advanced analytics but missing a clear, business-led data roadmap.
How it runs
- Discovery: short intake on business priorities, key KPIs, current BI stack, and known data issues.
- Working sessions: collaborative sessions with business and data stakeholders to map pain points and define target outcomes.
- Data strategy pack: a concise set of views (current vs. target, use-case map, governance sketch, roadmap).
- Follow-up: a focused session to lock ownership, sequencing, and how you will track progress over the next 6–12 months.
Pricing
Indicative USDStructured, transparent pricing for data strategy work, refined based on region, scope, and industry and the number of stakeholders involved.
1–2 half-day virtual sessions (up to ~10 participants; travel excluded) · rapid assessment of today’s data & reporting reality, priority use cases, and a starter data roadmap for 6–9 months.
1 full-day on-site or hybrid workshop with leadership, finance, and data teams (up to ~18 participants; travel excluded) · deeper current-state view and a more detailed data & analytics roadmap.
For groups with multiple business units or geographies · cross-unit data strategy framing, shared foundations, and domain-specific roadmaps.
Final fees are confirmed after scope, locations, industry, and language needs, if applicable, are agreed. Travel and accommodation (for on-site formats) are billed at cost.
Inside the engagement
- Diagnostic on key decisions and KPIs that matter most to the business (finance, operations, growth, risk).
- Inventory of core data sources, reports, dashboards, and “shadow spreadsheets” used by teams.
- Mapping of 5–10 candidate use cases where better data and analytics can unlock value or reduce risk.
- Draft data domain & ownership model (who is responsible for which data sets and metrics).
- A staged roadmap for data foundations, governance, BI improvements, and AI-adjacent initiatives.
What you leave with
- A concise data strategy deck that leadership can understand and sponsor.
- 3–5 priority data / analytics initiatives with clear hypotheses, sponsors, and success metrics.
- A simple, agreed view of data governance & ownership (business, IT, and analytics roles).
- A roadmap that links today’s BI/reporting reality to future AI opportunities, without over-engineering.
- Practical next steps for resourcing, sequencing, and measuring progress over the next 6–12 months.
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About the Lead Consultant
The Data Strategy & Analytics Consulting offer is led by Dr. Dodi Mossafer, founder of Stratenity. His work spans management consulting, finance, ERP, and AI integration, with a consistent focus on making data and analytics directly useful for decision-makers instead of just technical teams.
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When you are ready to proceed, you can complete secure payment for this Data Strategy & Analytics Consulting offer through Stratenity’s VelorPay checkout (Stripe-based). Pricing follows the structure outlined above and is confirmed after scope discussion.
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