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Controlled and Managed Transformation with our Enterprise Intelligence Hub

Controlled and Managed Transformation with our Enterprise Intelligence Hub

Digital transformation has ushered in several challenges with regard to data and analytics, which are the essential stepping stones for the implementation of digitization. While organizations are empowered with solutions, there are certain impediments to the transformational processes.

In order to drive agility, customer experience, innovation, and business outcomes, and eliminate latencies, organizations need to undertake the following steps:

  • Implement Big Data analytics along with advanced analytics technologies to drive changes in design and performance;
  • Adopt a fluid and intelligent business model that swiftly adjusts to changing market conditions; and
  • Drive innovation while simultaneously laying emphasis on security, governance, and other customer-centric solutions.

HCL proposes an Enterprise Intelligence Hub (EIH) on the Big Data Lake, which employs a three-step process to help tap the vastly unexplored realms of data and analytics across a unified platform.

The first step is to industrialize data acquisition and analyze the data in an interactive manner. A unified platform will offer companies the opportunity to ingest data at any given time. Also, the data sources can furnish structured or unstructured information, images, and videos. This will provide an end-to-end solution to store and process data.

The second step is to unify data in a repository with easy accessibility. The hub will ensure that processes are automated to enforce security and governance. It will also help in analyzing data patterns for storage and distribution based on the requirements.

The third step is to make the required information available as a service, offering the ‘cleansed’ and customized data for specific business needs. These personalized data services enable organizations to deliver unique and individual data sets, algorithms, models, etc. This crucial step will help replace manual text mining and analysis with advanced analytics.

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