Our proven track record in providing Business Intelligence and Data warehousing services is driven by the following attributes:
Support from Center of Excellence with capabilities in implementing best
practices, enterprise data architectures and global delivery.
Deep analytical capabilities and relative priorities, linked to key business
objectives, drivers and processes.
Ability to define the data model, functional capabilities and technology
architecture for the releases of the Business Intelligence environment
Capabilities in migration and upgrades to the latest Business Intelligence
environments, allowing customers to leverage the most up-to-date tool
capabilities.
We offer a comprehensive set of services including application design/
development and maintenance, and SLA Support services using Business Intelligence and Data Warehousing products. Our Business Intelligence/ Data Warehousing services include:
Design and Development of Presentation Strategy using presentation
products
Design and Development of ETL Strategy Universe Design and
Development
Data Warehouse Design, Data Cleansing, Loading and Management
Analytics, Report Development and Customization
Reports Deployment on Web
Version Upgrades and Migration
Version upgrade and/or migration from one platform to other
TESCRA’s Business Intelligence and Data Warehousing Practice covers
Business Objects, Cognos, Informatica, Spotfire, Oracle, SAP, SAS and
Microsoft platforms.
STORY
Approach: Integrate processes across multiple lines of businesses which effectively leveraged the existing store, including delivery and call center infrastructure to provide a consistent and a truly multi-channel shopping experience to the customer
Recommendations: Implement a change program that simplifies business processes, and implements best-of-breed applications and process monitoring capabilities to provide a unified view to business and applications support teams.
Results: The unified dashboard will help reduce the rework in order management processes and automate the analysis and response to failures in process steps. This will reduce the number of failed transactions, improve customer satisfaction and allow support teams to respond to customers’ needs quickly.

