Enterprise Integration Strategy and Implementation
The ultimate corporate data integration exercise is the design, development, and implementation of a data warehouse environment. The environment consists of various stages consisting of data acquisition, loading, and transformation (ELT/ETL) to pre-process data storage for efficient query execution and analysis processing (OLAP). Subsequently to provide efficient query execution and analysis processing, data may be further transformed to fit for purpose marts to provide line of business specific pre-processed data storage with integrated BI (business intelligence/statistical analysis) ad hoc query or analysis tools to empower users to transform data into information.
The leadership team has been engaged in End-to-End Enterprise Integration design, development, and implementation. More specifically, delivering database analytics to understand customer touch points for clients in the high data volume and high data density big data industries such as Wall Street Securities Exchange, Airline, Banking, On-Line Retail, and Telecommuncations.
We have experience providing data warehouse big data based solutions for Real-Time Customer Up Sale engagement, Credit Risk Management, and Web Analytics as well as Forecasting, Budgeting, Reporting, Financial Planning and Analysis, Predictive Modeling, Business Analytics,Data Mining, Web Analytics, BPM, Strategic Planning, Sales and Operations Planning.
Tools for success include Netezza, Oracle, SQLServer, DB2, DataStage, Informatica, SSIS/SSAS, Micro Strategies, Cognos, Business Objects.
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