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ENTERPRISE DATA ARCHITECTURE

Strategy is meaningless without a robust Architecture

Over years most global organizations have collected huge amounts of data, which many times is not well understood, often less managed, and not utilized properly. Using this hidden jewel (Data), the wealth of information that can be delivered to business leaders to make actionable business decisions, is enormous. Todayís smart business leaders are beginning to see that the organizational data is one of the most valuable assets of a company.

Without the guidance of a properly implemented data architecture and design, business applications might be implemented in different ways - thus making it difficult to understand and control the flow of data within the applications. Enterprise data architecture details how data will be processed, stored, and utilized in a given system, therefore allowing the organizationís leaders to make better and timely business decisions.

To achieve excellence in Enterprise Data Management (EDM), having a robust Enterprise Data Architecture is the next step of the Enterprise Data Strategy. To be truly in control of enterprise data architecture, an organization's journey must incorporate the vital elements for success. There are four vital elements in this effort:

1. Current Architecture Assessment: Based on the Data Strategy Roadmap, a data architecture assessment is required to evaluate the organization's capabilities in several areas, like Data Structure and Databases, Data Governance, Data Storage, Data Architecture, Metadata, Data Quality and Data Security.

2. Future State Logical Architecture: This segment is primarily focused on how users get to the data and how they will use or share it. Typically the first place to start is by creating or updating the organizationís conceptual data model. This will help identify the key subject areas of the company and how they interact. In addition to creating the logical data model, it is necessary to identify the key stakeholders for the effort, as they will be critical to moving the project forward for alignment with business objectives.

3. Future State Physical Architecture: This would include the physical representation of the defined architecture, to address the key components, Data Structure and Databases, Data Governance, Data Storage, Data Architecture, Metadata, Data Quality and Data Security. This would comprise the physical data model along with the actual setup of the infrastructure and environment.

4. Implementation Roadmap: This would include the detailed implementation roadmap to determine the gap and the costs associated with the implementation of the proposed architecture.

Acxiusís Enterprise Data Architecture Services can help you in this effort by creating a high-performance and scalable architecture to achieve your EDM goals - thus taking your business to the next level in the process.

Please contact us to learn more about our Data Management Services

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