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Project Highlights

Anil Vij. Technical Expertise : A Solutions Architecture expert with a history of proposing and building quality enterprise business intelligence and data warehousing solutions.

allistair-alford
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Project Highlights

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  1. Anil Vij Technical Expertise:A Solutions Architecture expert with a history of proposing and building quality enterprise business intelligence and data warehousing solutions Anil vij is an Oracle Business Intelligence solutions Strategist/Technical Architect/Project Manager, with over 20+ years of experience in building leading commercial IT products. Experienced in Business Intelligence solutions including architectural design, planning & development through deployment. In the past 6 years, Anil vij has been invited by several Oracle/Siebel customers as a Technical Adviser/ Chief Architect to strategize Oracle Business Intelligence Enterprise Edition (OBIEE) roadmap and related enterprise analytics solutions. Established a good reputation to drive best practices, training and educating business community to materialize ROI and mentoring technical teams with OBIEE technology. Value Delivered to Clients • As a consultant, responsible for formulation of Enterprise Data Warehouse Architecture using Oracle Business Intelligence strategy for various companies such as a leading Airlines, Solar Power, Natural Gas, Energy/Utility, High Tech & Manufacturer etc. • Principle Architect of the Business Intelligence Expert Group practice at Oracle/Siebel, responsible for providing guidance in strategizing and implementation of Oracle/Siebel BI initiatives including pre-sales and horizontal and vertical market analytics solution design and deployment for various fortune 500 customers. • As a Data Warehouse Architect, led a team of business analyst, developer and responsible for gathering functional requirements, developing business use cases, data architect, Star Schema modeling, reports, ETL process architect and data warehouse implementation. • As a Research Associate, responsible for implementing various econometrics and statistical models. Project Highlights

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