DataJigsaw believes the most appropriate way to accelerate and mature the understanding of data in the Enterprise is through a defined set of frameworks that articulate the principles and best practices surrounding the management of data.​

Data Management provides a mechanism to control how an organization deals with data. Underlying the Data Management capability is a set of data related frameworks:

• Metadata Framework - Provides information on what metadata needs to be stored, and where
• Modeling Framework -  Provides standards and best practices for data modeling
• Data Movement Framework - Provides standards and best practices on how data is moved and stored.
• Data Quality Framework -  Provides standards and best practices on how data is measured, and the processes associated with the measurement, remediation and root cause analysis.
• Reporting Framework -  Provides standards and best practices on how information is reported. This ties back to the Metadata, Modeling, Movement & Data Quality frameworks
• Data Governance Framework - Provides Policies, Procedures and Controls to ensure data is managed appropriately within the organization.

DataJigsaw has off-the-shelf accelerators that help organizations take their current state and move it towards a fit-for-purpose target state. This involves:

• Assessment of current Data Architecture State
• Assessment of current Data Management Practice
• Recommendation of applicable capabilities missing, or under developed
• Consulting services to help leverage Framework Accelerator materials.

If your organization is interested in understanding the Data Architecture Framework please contact us at enquiries@ortecha.com