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Strategy

Last Updated Date Jul 01, 2021 |
Strategy Data Strategy Article

Without a robust Data Strategy, the implementation of data capabilities can be challenging and costly. This can be mitigated by adopting a structured approach with a key goal of defining measurable success.

 

In order to successfully align with and support business objectives and initiatives toward being a data-driven organization, assess your data strategy to evaluate your current data management and governance landscape.

 

Informatica’s Data Strategy Framework can be used to identify the data capabilities required to execute a data strategy. Undertaking a subsequent data strategy assessment can highlight where you are, what you have, and determine where you need to be to ensure have a robust roadmap and plan for implementation.

Informatica’s Data Strategy Framework

Data Strategy Framework

Data Strategy Assessment

A data strategy assessment will provide a robust view of your current data strategy, providing recommendations for the road to success for your data and business goals.

 

Informatica’s data strategy assessment phase includes a discussion surrounding the four strategic pillars including data platform readiness and how our platform and services can support a modern, robust data-driven approach. 

Informatica’s Data Strategy Assessment Pillars

data strategy assesment pillars

Data Management Maturity

Data management establishes and executes the roles, responsibilities, policies, and procedures pertaining to the acquisition, maintenance, dissemination, and disposition of data.

 

By proposing five levels of maturity for each of the processes and capabilities it identifies (e.g., initial, repeatable, defined, managed, and optimized), Informatica’s data strategy assessment can define the fundamental business processes and specific capabilities necessary for the management of your data assets.

 

Data Strategy Maturity Model

Data Strategy Maturity Model

The expected outcomes following a data strategy assessment include:

  • Clarity of your current state and rationale for a data strategy to support your business objectives, including challenges and opportunities​
  • Recommendations of how the data strategy aligns to business goals with required data capabilities and a roadmap towards implementation
  • A clear call to action for leadership
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