At Entelliteq we understand the value of practicing a holistic approach to engineering and managing data as a strategic asset across the enterprise. Entelliteq considers the following guidelines in developing a portfolio view of data:

• Governing data for the Enterprise goes beyond system-specific data policies; it is the combination of technology, people, processes, and services that provide an accurate, timely and complete view
• Performance, availability, hardware, software, staff, data quality, and metadata management are all aspects of data governance and must be addressed while developing solutions
• Focus on the processes that must be established and data quality plan to allow an organization to move from managing data in disparate systems to governing data across the enterprise
• Ensure that collaborative roles and responsibilities have been addressed across all communities of interest
• Transforming data into actionable decision-making information

We bring a business process approach to ensure an executable data management plan that envisions the quality requirements often hidden within those business processes and policies. This concept is substantiated in the Data Administration Management Association (DAMA) Data Management Body of Knowledge (DMBOK), “Most applications are dependent on the use of data that meets specific needs associated with the successful completion of a business process… Data quality requirements are often hidden within defined business policies.” The DAMA DMBOK also is the framework we leverage to approach data initiatives, and we understand and provide consultative expertise in any or all areas of need within the eleven Knowledge Areas:

• Data Governance
• Data Architecture
• Data Modeling and Design
• Data Storage and Operations
• Data Security
• Data Integration and Interoperability
• Documents and Content
• Reference and Master Data
• Data Warehousing and Business Intelligence
• Metadata
• Data Quality

At Entelliteq we understand the business processes and drivers, are able to quickly identify the problem space, envision the end state, and define, plan, and deliver data management initiatives that are comprehensive across the enterprise.  We bring knowledge and experience in critical areas such as:

• Service Oriented Architecture (SOA)
• Microservices Architecture (MSA)
• Web Service standards and specifications (i.e., SOAP, XML, WSDL, WS-Security, JSON/Restful Services)
• ERP Integration
• Data Quality Strategy definition and Plan execution
• Extract, Transform, Load (ETL) of data from multiple source systems
• Data Profiling and Cleansing

Value:

Entelliteq’s approach to data management across the enterprise coupled with the inherent capabilities and experience of our resources, bring immediate impact to the initiatives in which we are engaged.  Having a capable, experienced partner with a strategic portfolio approach and a focused high-value execution in the implementation of the overall data management strategy and plan translates into a strong return on investment through value drivers such as:

• Ability to implement and meet net-centric and shared data compliance objectives
• Implement Actionable plans that drive data quality and improve decision support capabilities
• Deliver solutions that allow agility and responsiveness to meet Warfighter needs and facilitating change effectively within an interoperable environment
• Reduction of implementation timeframes (cost, schedule, performance efficiencies)