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DWP has significant experience in full lifecycle data warehousing. DWP has been a part of large number of large and small data warehousing initiatives of various Fortune 500 companies to small organizations. DWP follows a methodology based on sound computing fundamentals, industry best practices and value based approach. DWP leverages various tools and techniques that are industry standard and proprietary to deliver the results for the clients.
The key aspect of data warehousing is to generate dashboards and analytic reports to gain better understanding of business. Having an active data warehouse can benefit the company by having feedback mechanism in real time and providing actionable intelligence. This will lead to building self correcting business processes and self correcting automation of various activities with a predefined set of controls. |
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| Approach |
| DWP follows a proprietary “value based approach” towards designing, developing and deploying a data warehouse. This approach allows the client to have ROI while building the data warehouse on a phased approach. DWP’s approach significantly reduces the risk of taking on a high budget long term project by breaking it down into small modules with measurable ROI. |
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| Cost based approach |
| DWP’s methodology allows for cost based approach to data warehousing. This approach is useful for companies with limited budgets. Companies that cannot afford high cost of tools and enterprise infrastructure are out of luck by resorting to industry standard methodologies. DWP can help address this issue effectively at a reasonable cost of tools, building and maintaining the data warehouse. |
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| Volume based approach |
| DWP has experience in building data warehouses in sizes ranging from gigabytes to Terabytes. DWPs approach towards warehouses varies based on the size and complexities of the warehouse. Industry standard methodologies do not address low volume, non-enterprise scale data warehousing. DWP has experience in meeting the ROI for low volume data warehousing using various tools and techniques. |
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| ETL Tools |
Informatica, Data Stage, Ab Initio, Teradata SQL, SQL Server SSIS, BODI, Talend, Perl |
| Databases |
Oracle 8.X/9.X/10g, SQL Server 2005/2008, Teradata V2R12, DB2 UDB |
Reporting
Systems |
Business Objects, Cognos, SSRS, Crystal Reports and various charting and
reporting tools |
| Tools |
Struts, Spring, JUnit, Hibernate |
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| Services |
| One time development of DW |
| DWP offers its knowledge, experience and competence to design, develop and deploy data warehouses on a fixed bid and Time and Materials basis. DWP also handles engagement to build a data mart, one or more subject areas, complex reporting etc… |
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| Ongoing maintenance and optimization |
| DWP offers maintenance and performance optimization for the data warehouses built by DWP and also for the data warehouses built by third parties. This generates significant cost savings in hardware requirements and also in technical resource requirements. |
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| Adding a reporting module to a product (ISV) |
| DWP with its significant background in data warehousing can enable a software product to have a strong reporting module. Any product with a strong reporting module will have a stronger USP to its customer. This reporting module not only provides great reports but also enables other data feeds that would make integration of the product easier with other systems of your customer. |
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| Building a CPM infrastructure |
| DWP has experience designing data requirements around a business process to track, measure and manager the KPIs of any business process or the entire organization. This is done through data integration, additional screens to existing systems and various other best practice approaches to accurate data collection. DWP with its tools and methodologies have a best practice approach towards building a CPM solution for a company that would have immediate ROI. |
