Data Management

Enterprises need intelligent insights into customers, market conditions and the effectiveness of their business processes for devising strategies and making critical business decisions. Transforming Data into Information asset has become the key to be ahead of the competition. The volume and the complexity of the data has grown tremendously in the last decade and the growth is the expected to significantly accelerate in the coming years. All the major enterprises need to revisit their Data Management and Business Intelligence solution approaches to adapt to the needs of the new age business drivers.

Mquest Software’s Data Management and Analytics practice offers deep expertise in enterprise information management (EIM) that encompasses services like data integration, Reporting and Dashboarding, Metadata Management, Data Quality management, Advanced analytics and Big Data Integration. Mquest Software helps businesses with all aspects of data management right from formulating strategy and roadmap, Architecting and implementing Data warehouse solutions, Implementing Metadata and Data Quality solutions, Metrics based Operations & Maintenance Support to meet business requirements.

Service Categories

Information Management

Gathering, Organizing, Maintaining, Cleansing and Archiving data

Business Intelligence

Applications, Tools and processes to transform raw data into visual


Solutions used to build analysis models and simulations to create

Big Data

High-volume, high-velocity and high-variety information assets



  • SQL Server
  • Oracle
  • Teradata

Data Integration [ETL]

  • Microsoft BI (SSIS)
  • Informatica
  • Cognos

Predictive Analytics

  • Azure ML
  • R Programming Language
  • Cognos

Big Data

  • Hadoop
  • Cloudera
  • Horton works
  • Hive
  • Hbase
  • Mongo DB
  • Cassandra
  • Microsoft HDsight

Reporting & Analytics Tableau

  • Tableau
  • MicroStrategy
  • Microsoft BI (SSRS/SSAS)
  • Business Objects
  • Qlikview
  • SAS