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Data Management

Data Soft Data Management Solutions exists to help companies make the most from their data. We help you collect, integrate, organize, store and interpret the data your business generates. Through these processes, data becomes knowledge. We then utilize this knowledge to grow your business. Our experts do the technical, behind-the-screen work for you. So you can focus on what it is that you do best, running your business.

    • Extract, Transform and Load (ETL)
    • Data mapping and transformation
    • Data conversion and migration
    • Metadata dictionary
    • Data hubs, data marts and data warehouses

It is said that Information is power. Information is certainly the lifeblood of organizations. Information is data with the right context. Ensuring timely access to accurate data is the essence of Data Management solutions. Data is needed to make informed decisions, to deliver better products and services and to ensure good customer service. Companies that do a better job of managing their data have a strong competitive advantage.
Key elements of data management are: specifying the data formats (metadata), data access protocols (transport) and ETLrules (mapping). A good data management solution would provide all these capabilities in an easy to use, single product package.
Data Soft's ETL Suite is the ideal product for this scenario. It allows analysts and developers to work together to document and automate mapping rules and later modify them quickly when the data formats or rules change. This leads to improved data integrity, higher productivity, greater flexibility and better control.

  • Aggregate data from multiple customer systems into a central data warehouse
  • Receive marketing data from various different internal and external sources
  • Apply validation and edit rules to received bulk data
  • Normalize point of sales data which may be in different formats into a consistent format that is usable by business intelligence tools
  • Convert and migrate data from older applications to populate a new system
  • Centrally define and manage repository of metadata schemas and mapping rules


  • Business managers can make more effective decisions because they have access to data in a timely manner
  • Ensure data integrity by automating the data migration process
  • Turn the issue of handling different data formats from a liability to an advantage
  • Reuse objects like mapping or transformation rules