The future of Data Driven Organization

The future of Data Driven Organization

Transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more. The future is IT as a business enabler, and predictive analytics will play a big part in that transformation. This area of technology is showing no signs of slowing down.

The future of data-driven organizations lies in moving beyond basic insights to truly integrate data into every strategic decision and operational process. This evolution involves leveraging advanced analytics, artificial intelligence, and machine learning to predict trends, automate decisions, and personalize experiences at scale. Success will depend on fostering a pervasive data culture, ensuring ethical data governance, and continuously adapting infrastructure and skills to unlock continuous innovation and competitive advantage from an ever-increasing volume of information.

Customer stories

United Allergy Services

Implementing GLOVIA® OM for streamlined operations, integrated with Salesforce, results in significant improvements in operational efficiency and patient care.

B&Q Limited

In preparation for introducing more sustainable energy sources to its stores, B&Q worked with Fujitsu, leveraging its expertise in sustainability initiatives and data analysis, to optimise its energy usage.
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University of Bristol

The Bristol Digital Futures Institute (BDFI) partnered with Fujitsu to deliver a powerful data centre environment for its Reality Emulator. The secure research environment supports digital twin modelling, VR and collaboration across academia, industry and communities to support innovation.
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Recommended information

Data Analytics Value Chain

Input can be structured data (from traditional database systems), unstructured data (Twitter updates, online reviews, location data)
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The Biggest Benefits of Being a data driven organization

Digital Transformation is defined as the process to which organizations take steps in harnessing the power of data.

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