Data Warehousing and Business Intelligence

DW & BI(Data Warehousing and Business Intelligence )

Haviva Technologies Data Warehousing and Business Intelligence (DW/BI) services delivers superior end-to-end data services and tools to react quickly to market and business trends and thereby leverage a strategic edge over competition. Our team has expertise in a number of Business Intelligence and Data Mining tools.

Expertise in identifying and executing innovative and scalable data architecture solutions for Business Intelligence Technologies Design and develop the right dimensional models, data marts, data integration strategies and specialized reports to provide the right information to end users

Lower TCO through distributed delivery methodology and best industry practices Timely project delivery by utilization of reusable assets, methodologies and frameworks Economies of scales as a result of SLA based delivery request

We provide the following services in the Business Intelligence and Data Warehousing area:

Database Management and Performance tuning
Data Modelling, Data extraction, Transformation and Loading (ETL)
Data Merging, Migration and Implementation
ETL (Extraction, Transformation and Load) and DTS (Data Transformation Services)
ETL Architecture and Development
Development, Testing and Deployment for specific business areas
Multi-platform experience in Business Intelligence Process and Operational Data Store (ODS) Analysis
Maintenance services to provide Ongoing Support, Maintenance and Enhancement of the system
DWH/BI/ETL/Reporting toolsets include Informatics, Data stage, Business Objects, AbInitio, Oracle suite, Hyperion and Web focus. Re-engineering services to redesign existing systems and Architectures
Augmenting manpower needs as per requirements

Our Business Intelligence and Data Mining methodology comprises:

Process Methodology that adapts a proven system development lifecycle methodology for data warehousing initiatives. Data Warehousing Technical Methodology that enumerates key architectural features of Data Warehouse solutions and how to define them.

Data Quality Methodology that specifies a technical approach to addressing all data quality concerns.