Tech-driven Data Transformation

We will minimize the data acquisition cycle-time and enhance efficiency

Organizations across verticals, which process large volumes of data, can leverage iPowerFour’s experience in building data acquisition systems, intelligent content management systems and delivering content/ editorial services to streamline their data processing turnaround times/ production efficiencies and optimize costs.

For companies that are in the information services sector processing significant amount of data regularly our data transformation solution helps in minimizing the data acquisition cycle-time, reducing data-to-information turnaround time, enhancing production efficiency and optimizing costs. Reassigning core resources from regular production activities to critical business tasks and innovating new products based on critical data insights would be intangible outcomes that clients experience with our solution.

Tech-driven Data Transformation

We help our customers achieve their goals using our technology products, services and solutions in this domain. We have extensive experience in building data acquisition systems, intelligent content management systems and delivering content/ editorial services to information services providers from our India based offshore development and editorial center. Companies can leverage our specialized experience to implement a business transformation to accomplish their goals.

Our offerings include but not limited to

  • Intelligent data acquisition systems including RPA tools
  • Transformation of production process using an intelligent content management system which includes creation of semantic databases with relationships between disparate entities , XML FO based PDF generation , XML & XSLT based transformation, intelligent data repository , single consolidated database serving products on multiple platforms, integration of subscriber/order information with sales CRM and others
  • Automated publishing systems
  • Human-enabled content/editorial services which include research and data collection, data integrity maintenance and editor-enabled data review