How to demonstrate the value of your data strategy?

As part of Apgar’s Data Strategy offer, the Data as a Product approach equips your organization to manage data as a valuable asset that generates actionable insights. The Data as a Product method ensures that data within your organization is accessible, trustworthy, and ready-to-use for data-driven insights, better decision-making, and revenue growth. APGAR provides expert support to define an effective data strategy and achieve Data as a Poduct transformation.

Transform your data into your most valuable asset.

The Data as a Product approach will enable your organization to successfully

Implement a transversal use-case approach: and streamlined data strategy and management

Accelerate Time-to-Value: Pre-integrated solutions reduce preparation time for analytics

Scale: Designed for iterative improvements across domains

Manage Governance and Trust: Compliance and clear contracts mitigate risks

Empower domains: Enables domain teams to self-serve, reducing IT bottlenecks

Data as a Product value chain: From project to product driven.

A Data Product is a ready-to-use solution that combines data, metadata, and business logic to deliver trusted, reusable insights tailored to business needs. Examples of effective data products are Master datasets (e.g., customer or product master data), predictive models, and analytical applications.

Data product enablers include

  • Data strategy: Clearly defined priorities, roadmap and milestones, and more
  • Governance frameworks: Data Contracts, Observability Tools, User Engagement
  • Data Literacy: Literacy programs within the organization
  • Integration capabilities: Templates (predefined pipelines) and interfaces (APIs or GUIs)

Get started with your strategic transformation

  • Identify a business problem aligned with organizational goals.
  • Include data engineers, product managers, and domains experts.
  • Start with a minimum viable product (MVP) and refine based on feedbacks.
  • Establish data contracts and quality metrics.
  • Use observability tools to track performance and adapt as needed.

Any questions or projects? Contact our Data Strategy Expert.

Contact us now

Frédéric ROBERT

Data Advisory Director