Business Intelligence and Data Warehousing Services

An organization’s ability to quickly gather, access and analyze information is crucial to making successful business decisions. A critical factor in providing successful Business Intelligence solutions, Data Warehousing solutions and Reporting & Analytics solutions is delivering high performance at a low cost. GlobalLogic partners with both ISVs and BI-enabled enterprises to develop and support robust, cost-effective business intelligence solutions using proven processes and a combination of proprietary (Oracle, Microsoft), open source (Pentaho, JasperSoft) and stand-alone (Ab Initio, Informatica, BiRT) technologies.

Focus Areas

GlobalLogic provides software product development and product support services for all aspects of the BI/DW lifecycle, from data acquisition and data warehouse architecture to dashboards and KPI. Our focus areas include:

• ETL and Data Warehousing
• Enterprise Performance Management
• Reporting and Analytics
• BI Tool Benchmarking and Integration

Our Capabilities

GlobalLogic offers full lifecycle services for BI/DW solutions, from defining a product’s roadmap to recommending the right tools to building and supporting the finalized product. In addition to working with technology providers and enterprises to help engineer next-generation BI/DW solutions, we also have partnerships with tool providers to integrate and benchmark their products with a plethora of commercial and open source tools. Some of our capabilities in the BI/DW sector include:

ETL & Data Warehousing

• Implementing and sustaining the data warehouse from end-to-end
• Integrating products with legacy systems, spooled data, flat files and third-party systems
• Cleaning, transforming and aggregating data
• Managing metadata
• Performing dimensional modeling

Enterprise Performance Management

• Defining KPIs, scorecards and metrics, as well as reporting and query needs
• Integrating processes and data across existing platforms with the EPM suite
• Designing and implementing a reference data model
• Identifying and integrating source data and workflow tools

Reporting & Analytics

• Developing systems robust enough to support algorithms that crunch large datasets
• Creating mash-ups and interactive dashboards to display summarized data
• Working with pre-defined and impromptu queries, custom dashboards, drill-down and summary reports, and what-if analysis
• Slicing/dicing data cubes around various dimensions
• Developing BI portals, ROLAP/MOLAP/HOLAP and executive dashboards

BI Tool Benchmarking & Integration

• Performing gap analysis, performance benchmarking and tools integration
• Developing proof-of-concepts
• Enabling QA automation
• Creating and configuring virtual appliances for optimal performance
• Auto-generating business data for performance engineering