Data Warehousing Services

Whether you are building a new Data Warehouse, or re-architecting and consolidating your existing data stores, DMUST  offers a full spectrum of Data Warehousing Solutions and Services that span technology, tools, platforms and methodologies. The goal of your enterprise data warehouse is to create a definitive version of you organization's business data or 'a single version of the truth', and give your users complete confidence in that data. .

 

Our comprehensive Data Warehouse project includes the following:

  • Data Integration Architecture
  • Operational Data Stores and Data Staging Design
  • Master Data Management
  • Data Quality and Governance
  • Star Schema Data Modeling
  • EAI Integration
  • Data Warehouse Design, Architecture and Planning
  • ETL Architecture
  • Exception Management
  • Change Data Capture
  • Data Mapping Standards and Mapping Templates
  • Metadata Management Architecture
  • Process Control Architecture
  • Enterprise Metadata Architecture
  • Project Management

Business Intelligence Services
DMUST ’s BI Development services practice can design, construct and implement a complete Business Intelligence solution or a Data Warehousing solution. The service delivery begins with a requirement analysis phase and completes with the implementation of the BI/DW solution as per the requirements. The services can be configured to deliver a specific component, such as Data Modeling or ETL, of an entire Business Intelligence or Data Warehousing solution.

 

DMUST  is committed to continuous development of quality Business Intelligence solutions that maximize client benefits. Key services offered include:

  • BI Architecture Design
  • Data Modeling
  • ETL Strategy
  • Analytical Reporting
  • Performance Management
  • Metadata Management
  • BI Security

 

The Challenge of Measuring Business Value
The data warehouse can deliver substantial benefits, both tangible and intangible. A project should not begin without the expectations of these benefits. Measuring them is a challenge, but there are best practices being used by leading practitioners from which others can learn. Data warehouse benefits take the form of cost savings through increased operational efficiency and reporting consolidation, as well as business improvements such as:

  • Fraud reduction
  • Increased customer retention
  • The implementation of new business initiatives that increase revenue opportunities

Measuring intangible benefits is far more difficult and while the metrics are illusive, they are nonetheless important and real. These intangibles include:

  • Improved shareholder and Wall Street analyst relations
  • Better and faster decisions
  • Improved customer service
  • Employee empowerment
  • Competitive advantages

 

 

 
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