Enterprise Data Management, Planning & Advisory Solutions
A Critical Step
Data Planning & Design: The Foundation of Effective Data Management
Data planning and design is a crucial first step in building a successful enterprise data management strategy. It serves as the blueprint that guides how data is collected, organized, governed, and utilized across the organization.
Without a solid data design in place, your data assets can’t be effectively leveraged to serve their ultimate purpose—driving informed decision-making, supporting business operations, and fueling growth and innovation.

What Is Enterprise Data Management Strategy?
Enterprise Data Management (EDM) Strategy: Building a Strong Data Foundation
An Enterprise Data Management (EDM) strategy encompasses the processes and frameworks an organization uses to ensure its data is high-quality, accessible, accurate, consistent, reliable, secure, and well-governed. As a dynamic and continuously evolving discipline, a successful EDM strategy aims to answer key questions:
What data informs critical business decisions?
How should this data be visualized for clarity and consistency?
Who owns, manages, and governs the data?
What business rules and logic are applied?
To take a holistic approach to data management, an effective EDM strategy must include core elements such as data governance, master data management (MDM), data quality, data stewardship, data warehouses, data lakes, and data integration.
Take the Next Steps with QoreDx’s Data Management Services
This is why our flexible and scalable data advisory solutions are customized to your organization’s data and database needs.
Our enterprise data planning and design experts can:
- Assess your organization’s current data plan and strategy, including structure, databases, architecture, storage, governance, and integrity.
- Audit and recommend new business applications to work with your existing database layer and current skill set.
- Identify, plan, and develop a database structure to ensure data is properly stored, accessible, and used efficiently.
- Define and develop your data model to help your enterprise gain an accurate understanding of how data sources relate to each other.
- Develop a contingency plan for data
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