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The ability to access accurate and timely information can help organizations better understand their customers, more effectively target markets, and proactively address business problems before they cut into profits. Valuable data is often locked in complex operational systems and processes, buried within multiple sources, inaccurate, or otherwise unusable. A well-designed business intelligence system, backed by a data warehouse, can eliminate this problem.
DataWhiz offers a comprehensive data warehousing solution for clients whether they are focused on developing a solution for the first time or improving an existing one. This full life-cycle solution draws on DataWhiz's operational improvement experience, software application expertise, and industry-renowned project management processes. DataWhiz's approach ensures a client's solution is tightly aligned with strategic business objectives. A well-executed Data ware strategy is the path to achieving such business objectives as increased sales, faster time to market, improved customer satisfaction, and other competitive requirements. |
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Benefits of Data Warhousing:
Significantly enhanced ability to perform valuable business functions
forecasting, performance analysis, and modeling
Measurable progress in such areas as revenue and sales growth
Improved cost containment and product optimization
including strategic planning,
Fast and quantifiable return on investment
Improved operating efficiency
Reduced overall cost of the business intelligence solution
Flexibility to update the data warehouse as business requirements changes |
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| DataWhiz's Data Warehousing solutions: |
| Business Strategy: |
| DataWhiz works with clients to examine existing business operations and requirements to ascertain whether a data warehouse is a useful and cost-justifiable initiative. DataWhiz draws on its business and IT process improvement expertise to recommend ways to introduce efficiencies and maximize the value of information resources. Business strategy services produce a definition of the types of data to capture, system functionality requirements, and return-on-investment estimates for a Data ware initiative. |
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| Analysis and Design: |
| The Data ware team develops a clear technical plan based on the business and user requirements established in the Data ware business strategy. DataWhiz's analysis and design services can encompass the entire warehouse architecture, including architecture design, tool selection, standards development, and deployment, operations and data quality strategy development; or it can be tailored to focus on any of the three individual components of a Data ware architecture (data acquisition and transformation, warehousing, and business intelligence). |
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| Implementation: |
Implementation services can encompass all aspects of the data warehouse or focus on specific components, depending on client needs. These services focus on developing the warehouse and moving it into production. Services include tool implementation, custom programming for each of the architecture components, process deployment for supporting warehouse operations, training, documentation for administrators and users, testing, and final roll-out. DataWhiz's project and process management practices ensure that project deliverables remain aligned with business requirements. |
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| Operations, Support, and Evolution: |
Ongoing operation, support, and evolution services provide clients with assistance in ensuring the warehouse meets day-to-day needs as well as emerging business and technology changes. Data ware outsourcing services can follow the implementation of a newly developed system or can be structured to support and improve a data warehouse already in production. DataWhiz evaluates the warehouse to detect and correct such problem areas as unreliable data, insufficient business value, low usage, and high operational overhead. Improvement projects can involve operational improvements, automation of tasks and processes, implementation of more mature, robust technologies, and integration of new data sources.
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| Data Quality: |
These services are focused on identifying and correcting data quality issues in an existing data warehouse. Frequently, problematic data originates in one or more legacy systems. DataWhiz draws on its expertise in legacy systems environments to reengineer or replace these legacy systems. In other cases, DataWhiz focuses on correcting data integrity problems in the processes used to create or acquire data or in the control mechanisms used to manage data quality.
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