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DATAWAREHOUSING
Introduction
In today’s highly competitive business environment, having access to the right information at right time can make the difference. Business intelligence (BI)-the transformation of raw data into understandable, relevant business information- can help track the pulse of vital performance factors. It also enables organizations to turn their data into useful information that helps decision-makers make effective, informed decisions. BI requires information on demand - achieved by combining multidimensional data analysis and data mining with advanced statistical and analytical functions in a real-time, integrated environment. Constant vigilance, including tuning and monitoring of these systems, helps maintain a sharp focus for overall enterprise effectiveness.

GTS helps you to publish the "right" data and makes it easily accessible to decision-makers. Our competence exists with the team of highly skilled and trained consultants, who have experience, superior technical & business consulting skills. Our BI Consultants create an infrastructure for business reporting and analysis utilizing your organization's disparate internal and external data resources in the shortest possible time.
Data Warehousing Methodologies
We have well defined methodologies to execute Data warehousing projects in a cost-effective manner. Our unique D2I (Designing Data mart iteratively) methodology ensures that you hit the data warehouse ROI faster and cheaper. D2I uses the combination innovative techniques, such as iterative prototyping by using JRP sessions, JAD analysis for complex subject areas and clearly defined project responsibilities to significantly reduce the development cycle and quickly produce complete data warehousing applications.

In a typical life cycle the business requirements are mapped to the source systems to decide the data elements that will be extracted. In some cases, all the requisite information is not available from the legacy systems. These need to be acquired from alternative or external data sources (or data providers). The data elements are matched to the information requirements and a logical model is developed. The logical model undergoes iterations to exactly match the analysis and reporting requirements. At a stage where the logical model can cater to the complete requirements, a detailed dimensional model is prepared. The dimensional model will form the basis for the DW. The benefits of this approach are continuous user participation and any errors are identified and eliminated in the earlier stages through collaborative functioning.
Data Warehousing Methodologies
We have well defined methodologies to execute Data warehousing projects in a cost-effective manner. Our unique D2I (Designing Data mart iteratively) methodology ensures that you hit the data warehouse ROI faster and cheaper. D2I uses the combination innovative techniques, such as iterative prototyping by using JRP sessions, JAD analysis for complex subject areas and clearly defined project responsibilities to significantly reduce the development cycle and quickly produce complete data warehousing applications.

In a typical life cycle the business requirements are mapped to the source systems to decide the data elements that will be extracted. In some cases, all the requisite information is not available from the legacy systems. These need to be acquired from alternative or external data sources (or data providers). The data elements are matched to the information requirements and a logical model is developed. The logical model undergoes iterations to exactly match the analysis and reporting requirements. At a stage where the logical model can cater to the complete requirements, a detailed dimensional model is prepared. The dimensional model will form the basis for the DW. The benefits of this approach are continuous user participation and any errors are identified and eliminated in the earlier stages through collaborative functioning.
Data Warehousing Service Offerings

Our Data warehousing team has deep expertise in delivering the comprehensive DW solutions that you need:

• End-to-end solutions design and development
• Business requirements analysis and data modeling
• ETL architecture and development
• Custom reporting and OLAP solutions
• Data mining

Technology Expertise

We have expertise in integrating and implementing a wide range of business intelligence and data warehousing solutions from leading vendors. We have deep knowledge of many database and hardware platforms, data modeling, and data cleansing. Our skills cover:

ETL ( Extraction, Transformation & Loading)

Oracle Warehouse Builder

Informatica PowerCenter
Ascential DataStage


Data Profiling/ Data Cleansing & Quality
Oracle Warehouse Builder Data Quality
Ascential ProfileStage
Ascential QualityStage

Data Management
Oracle 9i/10g
Microsoft SQL Server
Sybase
Teradata
IBM DB2
Informix

Data Modeling
Oracle Designer
ErWin
Oracle Warehouse Builder

Reporting/Analysis/Mining
Oracle 10g OLAP
Oracle BI EE
Oracle Data Mining
Siebel Analytics
Oracle Discoverer

 
   
  
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