Data Governance Blueprint

Policies, principles and procedures for safeguarding your data

When designed or implemented wrong, data governance becomes a cumbersome, ineffectual and often ignored practice. When it is done right, data governance significantly improves usability of data and analytics, while saving organizations from the embarrassing data breaches and wrong decisions. It defines how to properly structure, proactively manage and lawfully use enterprise data assets.

With our Gearshifter “Data Governance Blueprint”, we help organizations set-up their data governance framework, policies and procedures in a quick and comprehensive manner. We also define key roles and responsibilities to manage and monitor them throughout the organization. We help select best fitting policies for each company, incorporating learnings from industry leaders with different frameworks and standards.

Increase reliability and quality of data

used for all key business decisions and actions

Minimize risk of data breaches

loss and privacy invasion, proactively safeguarding data assets

Improve usability of data and analytics

building common terminology and standards across the enterprise

Decrease data management costs

improving efficiency of data assets through consistent structure and contents

“Data Governance Blueprint” is a packaged set of workshops and policy documents, enabled with an interactive toolkit.
This is a self-paced solution, and it can be completed within just 1 week.
  • Impact Focused: Framework selected from a wide range of policy sets, based on business and technology needs and priorities
  • Fully Adapted: Policy documents that can be customized based on constraints, preferences and priorities
  • Clearly Owned: Organizational structure, roles and responsibilities defined for ownership and execution of governance policies and procedures
  • Action Ready: Templates and forms needed to implement key policies and procedures included
Sneak Peek

“Data governance organization should have a Steering Committee with representation from all data consumers & producers”

“Data governance KPIs should include customer privacy complaints, estimated cost of security breaches, data quality index and standardization audit scores”

“Ownership of master data is defined by department, with customer data to be owned by marketing and channel data by sales.”