Specialization

Data Integration
Esolutions has expertise in providing Data Integration solutions using diverse technologies. Our resources come from strong technical background who have worked on several cutting edge projects in related tools and technologies.
One of our biggest strength is company is owned and directed by the individuals who have over 15 years of experience in providing Data warehousing and Business Intelligence solutions.

ETL solutions:
We have drafted several white papers and Best practices and methodologies that are widely used by many organization in implementing projects.

provide ETL solutions using Informatica, Ab Initio, Data stage
provide ETL QA testing resources
provide ETL Architecture expertise
Provide ETL business analysts, technical analysts
provide ETL system analysts, Team Leader, Technical Lead resources

Data profiling and analysis
Esolutions has expertise in analyzing existing Transactional and Legacy systems data. Successful data warehouse implementation requires clear understanding of organizations systems and underlying data. Our experts are trained to profile the data using variety of tools and techniques. The profiled data is then analyzed to establish relationships between datasets in different systems. Our experts will closely work business analysts to create business mapping documents.

Business Intelligence
Esolutions has expertise in building intelligence around Enterprise Data warehouses. A Data warehouse is called successful only when we can extract intelligence from it.

Our experts are trained to create Business reports, Data mining, Data Marts, Corporate Dash Boards using leading industry leading tools and technologies.

 
Support the various analytical and reporting styles of the business executives that may include reporting, ad hoc querying, online analytical processing (OLAP), data mining, predictive analytics, data visualization and spreadsheet integration.
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Provide access to the level of comprehensive, consistent, clean and current data that the business needs for analysis – and is willing to pay for.
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Systematically implement and support data governance
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Separate data integration from BI reporting and analysis processes.
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Implement the staging of data from systems of record through a data warehouse to data marts or cubes
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Create a business-oriented “semantic layer” to give users a view of the information available for reporting and analytics.
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Create a “live” data and reporting dictionary that business users can use while accessing reports