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Solutions

Business Solutions

At HCL , we are committed to providing exceptional business value for our clients. One way we deliver on that commitment is by leveraging our industry vertical experience and combining it with our core capabilities to create powerful business solutions.

A crucial objective of all our solutions is to speed the time to implementation and lower costs so our clients can do more with their budget. These HCL business solutions include:

  • iCFO: An integrated approach for the end-to-end transformation of all of the application and process capabilities a CFO requires including: planning, spend management, risk analysis, capital allocation, consolidation and regulatory reporting

  • Predictive Maintenance Analytics (PMA): A solution that reduces asset downtime and improves service reliability by applying analytic models to high-volume sensor data and service management records to predict outages

  • Customer Analytics and Digital Experience: A real-time analytics monitoring system designed to provide insight into consumer behaviors and reactions to new product launches including digital interaction patterns and social sentiment

  • Customer 360: A solution aimed at providing a 360 view of the customer using a big data based   customer master data repository with integration to social data and predictive analytics

  • Big Data Lake: An implementation framework and operating model for big data that defines how to consolidate, liberate, co-innovate and monetize big data

  • Data as a Service: An outsourcing solution that drives cost efficiencies and quality of service improvements by consolidating data extraction, transformation, and movement through the implementation of a service request/publish model

  • Information Lifecycle Management (ILM): A solution used for driving cost efficiencies and reducing compliance related risk by using data archiving, tiered storage, data warehouse off-loading, data virtualization, and data testing

  • BI Pathways: A roadmap for the modernization of the BI landscape including architecture, tools, user experience, organization structure, security and processes

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We will treat any information you submit with us as confidential. Please read our privacy statement for additional information.