Data Warehouse Solutions

· Data Warehouse
· e-Business Intelligence
· Re-Engineering of DW applications
· CRM Data Warehouse
· Data Warehousing Implementation
· Data delivery applications
· Data integration

Case Studies
· Business Management System
· Data Warehouse WAP System
· Cell-phone Users Survey
· BI Platform Development
· Data Warehouse Reporting Portal

Data Warehouse Technologies

OLAP tools:MicroStrategy, Brio, Business Objects, Cognos, Hyperion, Informix Metacube

ETL tools: Informatica, Datastage, Datajunction, DataMirror

Databases: Oracle, MS SQL Server 2000, Sybase, DB2, Informix, Redbrick, Teradata;

Datamining Tools: SAS Miner, Intelligent Miner;

End to end tools: SAP Business Warehouse suite and Oracle Data Warehousing product suite


Database Consulting

· Offshore Database Consulting
· Embedded Database Development

Case Studies
· Database programming
Offshore CRM Data Warehouse Solutions Development
What is CRM? CRM stands for Customer Relationship Management. It is a strategy used to learn more about customers' needs and behaviors in order to develop stronger relationships with them.

Goals of CRM
  • provide better customer service
  • make call centers more efficient
  • cross sell products more effectively
  • help sales staff close deals faster
  • simplify marketing and sales processes
  • discover new customers
  • increase customer revenues
Some examples of the types of data CRM should be collecting
  • Responses to campaigns
  • Shipping and fulfillment dates
  • Sales and purchase data
  • Account information
  • Web registration data
  • Service and support records
  • Demographic data
  • Web sales data
Our CRM data warehouse solution combines our expertise in CRM with extensive experience in data warehousing.

SolovatDesign's analytical CRM data warehouse solution framework offers the following:

· Data model to capture and track customer product holding, product usage, contact history and events

· A well defined process model for design, development and implementation

· Focus on data cleansing, match & merge and ETL to integrate customers

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