What Data Strategy Consulting Brings Together
A data strategy is not a technology plan. Our data strategy consulting starts from the goals of the business and works back to the data, skills, and platforms needed to reach them.
Business goals
The revenue, cost, risk, and customer outcomes leadership is accountable for.
Data assets
What data exists, where, at what quality, and who owns it.
Capabilities
The people, platforms, and processes available to use it.
A data roadmap tied to business goals
A Data Maturity Assessment Scored Against Real Use Cases
Instead of a generic maturity score, we assess data maturity against the use cases the business wants, so each gap found is one that blocks something valuable.
| Business value | Data ready | Data not ready |
|---|---|---|
| Higher value | Start NowValuable use cases the current data can support. |
Build the FoundationValuable use cases that need data work first. |
| Lower value | OpportunisticLower-value uses to pick up when the data is there. |
ParkLow-value use cases blocked by major gaps. |
Request a free data strategy consultation
From Data Strategy to a Funded Roadmap
The strategy ends in a roadmap leadership can fund, with the first use cases, the foundations they need, and the owners for each. Cognativ has turned data into business advantage for a data platform that reached a 75% category share and a healthcare data company that exited at 20x.
Collect use cases
Collect use cases
Every idea for using data, gathered from leaders and teams.
Score and select
Score and select
Use cases ranked on value and readiness, with the top few chosen.
Plan the foundations
Plan the foundations
Data, platform, governance, and skills the chosen use cases need.
A funded roadmap with owners
A Data Strategy That Prepares the Business for AI
Most companies now ask what AI can do with their data. The data strategy answers that with evidence: which AI ideas the current data supports, which need groundwork, and what that groundwork costs. It keeps AI plans tied to business goals instead of tools.
When a specific AI use case is already chosen, an AI readiness assessment is the faster route to a go or no-go decision.
Explore the AI readiness assessment
Data Strategy Consulting Questions
What to expect before you start.
What is a data strategy?
A data strategy sets out how a company will use data to reach its business goals: which use cases matter, what data and capabilities they need, and in what order to build them.
What does a data strategy consultant deliver?
A prioritized list of data use cases, an assessment of the data and capabilities behind them, and a roadmap with owners, costs, and milestones.
How is a data strategy different from a data maturity assessment?
A maturity assessment scores where the company is today. A data strategy decides where to go and how, using that assessment as one input.
Does a data strategy include AI?
Yes, when AI is one of the use cases. The strategy shows which AI ideas the data can support now and which need groundwork first.
Do we need new tools to execute the strategy?
Not necessarily. Many roadmaps start with better use of existing platforms; new tools are recommended only where a use case requires them.
How does an engagement start?
With a free first consultation about your business goals, then interviews and a data review with a fixed scope and fee.
Data Strategy Case Studies
Companies that turned data into a business advantage with a clear plan.
Data Platform Reaches 75% Category Market Share
Data Platforms
Data Aggregation
Data Management
Technology Strategy
Data Platform Reaches 75% Category Market Share
Cognativ helped reposition a data management offering around a clearer market category, stronger operational narrative, and more defensible growth strategy.
The repositioning helped the business establish 75% market share in an emerging category while clarifying its value for enterprise buyers.
Explore the Data Category Win
Healthcare Data: 20x Exit Valuation
Data Platforms
API Development
Data Integration
Data Marts
Healthcare Data: 20x Exit Valuation
Cognativ helped a traditional third-party payer reposition from a claims-processing service provider into a strategic healthcare data broker.
The transformation reshaped the company’s go-to-market model and increased exit valuation by 20x.
See the 20x Exit Story
D2C Brand Launches on Time with RAPID
Technology Strategy
Platform Architecture
Product Launch
Technology Roadmap
D2C Brand Launches on Time with RAPID
Cognativ helped a D2C brand break through founder bottlenecks, scope debates, and slipping launch timelines with a clearer platform roadmap and RAPID-driven sprint cadence.
The company launched on time, closed funding within 60 days, and improved team velocity by approximately 40%.
See the Launch Turnaround
Digital Advisory Practice Tops $3M in Year One
Technology Consulting
ERP Implementation
Digital Finance
Digital Advisory
Digital Advisory Practice Tops $3M in Year One
Cognativ helped an accounting firm launch and scale a digital advisory arm, moving from traditional tax and audit services into ERP implementation, digital finance transformation, and strategic advisory.
The new practice generated more than $3M in year-one revenue.
Review the $3M Practice BuildRelated AI Insights
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