Data Risk Management

Data Risk Management (DRM) is a complex challenge facing organizations as they transition to a service-oriented enterprise data model. Comprised of issues ranging from data correctness and completeness, to access and storage, as well as usability and security, Data Risk Management transcends the enterprise. Unfortunately, no single technology solution exists to manage data risks.

Understanding the sources and challenges of data risks is essential at all levels: from across the enterprise and its divisions, down to specific processes.  Building a comprehensive data risk management framework for managing data risks is essential.  The framework should consist of policies, procedures and best practices needed to effectively address aspects of data risk.  In this context, Data Risk Management pertains to:

  • Data Completeness
  • Data Correctness
  • Data Access
  • Data Storage
  • Data Usability
  • Data Security

DataLOGIC knows Data Risk Management, and knows how to:

  • Apply best practice system architectures to ensure a secured system environment and user access;
  • Design enterprise data storage solutions, from finely tuned geodatabases to data warehouses supporting client/server and service-oriented architectures;
  • Define standards and procedures appropriately to meet your specific needs;
  • Implement Quality Control (QC) methods and solutions such as those employed to support federal regulatory conditions and initiatives; and
  • Establish broader Quality Assurance (QA) guidance across the enterprise.

DRM transcends the enterprise; data risks are always prevalent and must be considered whenever data is collected, assimilated, transformed and conflated across consolidated data systems, and within isolated silos of data.

Our program of DRM services:

  • DRM Framework of Policies and Procedures
  • Quality Assurance Planning
  • Workflow Diagramming
  • Workflow Management Tools
  • Quality Control Methods and Solutions
  • Automated and Semi-automated Evaluation/Review Tools
  • Data Processing Routines and Tools
  • Test Engineering
  • Independent Verification and Validation
  • Auditing
  • Change Management