• Business Use Cases Conclusion
  • Financial services
  • Manufacturing
  • The Evolution of Big Data and the Future of the Data Platform




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    050623-The Future of Big Data with Data Lakehouse

    07
    The Evolution of Big Data and the Future of the Data Platform


    Introduction
    Big data beginnings
    New big data approaches 
    Big data challenges
     
    Data lakes
    Data platforms
    AI and ML
    Business Use Cases
    Conclusion
    Business use cases 

    There are hundreds of ways big data can give businesses a competitive advantage. Here, we’ll 
    explore just a few examples of how industries have used big data to go beyond measuring and 
    counting to being able to predict and understand. 
    Financial services
    Whether it’s capturing new market 
    opportunities or reducing fraud, 
    financial services organizations have 
    converted big data into a competitive 
    advantage. With big data, financial 
    institutions can
    • 
    Identify patterns that
    indicate fraud and streamline 
    regulatory reporting 
    • 
    Gain a better understanding of 
    market trends and customer 
    needs, which can improve 
    decision-making about new 
    products and services
    • 
    Detect potential fraud patterns 
    and adhere to regulations
    Healthcare
    Hospitals, healthcare companies, 
    and researchers produce massive 
    amounts of data. With big data, 
    healthcare professionals can 
    • 
    Identify disease genes and 
    biomarkers to help patients 
    pinpoint health issues they
    may face in the future 
    • 
    Provide better treatment and 
    improve the quality of care 
    without increasing costs 
    • 
    Detect potential insurance
    fraud by flagging certain 
    behaviors for further 
    examination
    Manufacturing
    The digital revolution has 
    empowered manufacturers to 
    find ways to harness all the data 
    they generate. With big data, 
    manufacturers can 
    • 
    Predict equipment failures
    • 
    Assess production processes, 
    proactively respond to customer 
    feedback, and anticipate
    future demands 
    • 
    Better understand the flow of 
    production lines and determine 
    the cause of delays
    Retail
    Big data is used across all stages 
    of the retail process. With big data, 
    retailers can 
    • 
    Predict customer demand and 
    launch new products
    • 
    Identify a company’s most loyal 
    customers and target them with 
    special offers 
    • 
    Use predictive technology to 
    keep shelves stocked and avoid 
    supply chain disruptions 

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    The Evolution of Big Data and the Future of the Data Platform

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