Service Offerings

Business Intelligence and Data Warehousing

The exponential growth of information, heterogeneous silos, unstructured formats and poor data quality pose challenges in information management. They prevent businesses from utilizing information effectively.

Business Intelligence (BI) and Data Warehousing (DW) address these challenges by unearthing the hidden value in information assets to facilitate informed decisions.

What is Datawarehousing

Data warehousing is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed for greater business intelligence.

eBiz Solutions offers end-to-end BI and DW services – Reporting and Analytics, Maintenance and Support. Our services cover Business Intelligence road map, data warehousing implementation, analytics, data mining, data quality and Master Data Management. Our business result-oriented approach ensures return on information.

Infosys offerings include:

  • BI strategy development
  • BI and DW governance consulting
  • BI and DW architecture development
  • Strategic audit
  • Taxonomy implementation consulting
  • Migration strategy and planning, cross-platform migration and version upgrades
  • BI services in a SaaS model
  • SOA-enabled BI framework

How is a data warehouse different from a regular database?

Data warehouses use a different design from standard operational databases. The latter are optimized to maintain strict accuracy of data in the moment by rapidly updating real-time data. Data warehouses, by contrast, are designed to give a long-range view of data over time. They trade off transaction volume and instead specialize in data aggregation.

What are data warehouses used for?

Many types of business data are analyzed via data warehouses. The need for a data warehouse often becomes evident when analytic requirements run afoul of the ongoing performance of operational databases. Running a complex query on a database requires the database to enter a temporary fixed state. This is often untenable for transactional databases. A data warehouse is employed to do the analytic work, leaving the transactional database free to focus on transactions. 

The other benefits of a data warehouse are the ability to analyze data from multiple sources and to negotiate differences in storage schema using the ETL process