Enterprise Data Management (EDM)

It is estimated that 60 – 80% of an organization’s value is tied up in its data, the data needed to help improve customer satisfaction, operational efficiency and data as a service for your customers and existing stakeholders. Metrics are no longer enough. In In today’s environment, you need a comprehensive data strategy to manage your data, its quality, and its security. Having a workforce that understands how data works, and a culture of personal and corporate data management, is a competitive advantage. 

INCATech’s data experts use an innovative Enterprise Data Management Framework to help you (a) grapple with the complexities of managing data generated and owned by your organization and (b) address the organizational change needed to be successful (Oversight + Execution).

Enterprise Data Management Framework

Establishing – The fundamental activities needed to ensure the organization understands data is an asset that holds value.

Designing – The activities needed to align business strategy and requirements for what data needs to be managed.

Empowering – Maximizing the data flow in your organization.

Utilizing – Making your organization more in sight-driven and learning-oriented.

edm framework infographic

Key Benefits Of Enterprise Data Management

  • Proper data governance ensures that the data used for decision-making is accurate, consistent, and reliable. This leads to better-informed and more effective strategic and operational decisions.

  • Data governance ensures that data is accurate, complete, and up-to-date. High-quality data enhances the reliability of analytics, reporting, and other data-driven processes.

  • Data governance helps organizations adhere to legal and regulatory requirements related to data privacy and security. By managing data appropriately, organizations can mitigate risks associated with data breaches and non-compliance.

  • Well-defined data governance processes and policies streamline data storage, organization, and retrieval. This efficiency leads to reduced data duplication, data inconsistencies, and data redundancy.

  • Data governance facilitates the integration of data from various sources and systems. This is particularly important in modern business environments where data is generated and collected from diverse platforms.

  • With reliable data at their disposal, organizations can identify trends, patterns, and opportunities more effectively. This insight drives innovation and enables the development of new products, services, and business models.

  • Effective data governance ensures that data remains valuable over time. This is crucial as data becomes an increasingly important asset for organizations seeking to gain a competitive edge.

  • Data governance helps establish security measures and protocols to safeguard sensitive and confidential information. It ensures that only authorized individuals have access to specific data, reducing the risk of data breaches.

  • Data governance breaks down data silos by promoting data sharing and collaboration across departments. This leads to a more holistic view of the organization's operations and performance.

  • Clean, well-managed data is essential for accurate and meaningful data analytics. Effective data governance provides a solid foundation for advanced analytics, machine learning, and artificial intelligence initiatives.

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