Financial Data Integration Implementation:
For a New York Based Financial Organization defined a best practice with end-to-end approach for Financial Data integration using ETL and ETVML technologies. ETVML (Extract, Transform, Validate, match and load) is the architectural component of data integration management approach that makes data quality assurance integral to the end goal.

Enterprise Data Warehouse Implementation:
For a New Jersey based Hospitality Industry Organization defined an Enterprise Data Warehouses (EDW), with data marts and business intelligence environments for Deploying Master Data Management (MDM) and Customer Data Integration (CDI) solutions.

Customer Data Integration Implementation:
For a New Jersey Based Pharmaceutical Organization performed Analysis, Planning, Architecture and Delivery of Business Intelligence Customer Data Integration technology initiatives for measuring the consolidation accuracy of Customer Information Management System

Sales Data warehouse:
For a Connecticut based Financial Organization performed Data infrastructure, Data architecture, Data planning, Data recovery, ETL Development, Data Administration to deliver efficient Data warehouse and Business Intelligence solutions for Sales Data Warehouse of the Finance Department. 

Billing Reconciliation Data Warehouse:
For a Wisconsin based Health Care Organization Designed and Deployed a solution for the billing process to be automated for further enhanced reporting sessions on the data received from the government (CMS). This will allow for further break down of various categories of how various members choose to pay. Based on this solution the marketing department can plan around their target demographics (or Customer).

Financial Sales Analysis Data warehouse:
For a New York based financial organization implemented a sales datawarehouse that helped in analyzing various trends and performing sales analysis involving calculation of sales per region and categorize the customers based on their profile.

Pharmaceutical Sales and Marketing Data Warehouse:
For a Philadelphia based Pharmaceutical organization implemented a project for sales and marketing. The project was to calculate the sales and revenues with respect to the region. The overall outcome enabled the organization to analyze and measure performance of products (market share, product launches); the sales force; customers (profitability, market penetration); and contracts (profitability of customers and market segments, pricing) in the pharmaceutical domain.

Insurance Data Warehouse:
For a Connecticut based Insurance company built an Insurance Data Warehouse project which was aimed at building a Insurance Data Warehouse which provides the information about Policy Transactions, Premium and Claims Transactions data to the business users for efficient decision making regarding Policies and claims.

Global Datawarehouse:
For a New York based pharmaceutical company, implemented a central datawarehouse connecting mainframe, file based and client server databases for data analysis and complex reporting.

Datawarehouse and Performance Tuning:
For a New York based healthcare organization, we have helped them in setting up their oracle based datawarehouse and fine tune their database environment. This initiative has resulted in significant cost savings from better data reporting and faster transactions.

Datawarehouse implementation:
For a US Navy department, we are building a datamart which feeds off a central datawarehouse using Sybase as the enabling technology.

Performance Tuning:
For a Colarado based home improvement company, we have improved the response time from their existing datawarehouse implementation.

Customized Training:
For a Boston based bio-informatics company, Trained and mentored the Sales organization in creating and modifying complex departmental reports using Cognos suite.

Consumer Data Management:
For a large Colarado based office supply company, we have provided evaluation services for the site usability leading to better customer retention and traffic.