Glossary

Big Data

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Agile Development AIOps Analytics Platform API Integration API Management Application Modernization Artificial Intelligence Augmented Reality
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Banking as a Platform Banking as a Service Big Data Business Analytics
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Claim Automation Claims Management Clinical Research Clinical Software Cloud Advisory Cloud Deployment Cloud Infrastructure Cloud Migration Cloud Native Development Cloud Security Cloud Strategy Cloud-native Security Core Banking Corporate Banking Customer Data Platform (CDP) Customer Experience Customer Experience Journey Customer Experience Strategy Customer Intelligence CX Strategy Cyber Resilience Cybersecurity
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Data Analytics Data Center Modernization Data Integration Data Lake Data Security Data Transformation Denial Management DevSecOps Digital Banking Digital Commerce Digital Engineering Digital Experience Platform Digital Front Door Digital Health Platform Digital Insurance Digital Lab Digital Mosaic Digital Payments Digital Platform Digital Transformation Digital Wealth Management
E
Edge Computing Enterprise Integration Enterprise Security Experience Transformation
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Healthcare Payor Healthcare Technology
I
Identity Access Management Intelligent Automation
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Legacy Application Modernization Life Sciences Technology Loan Origination
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Machine Learning Medical Devices Microservices Mobile Edge Cloud Monetizing 5G
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Network API Network Assurance Network Performance Network Transformation No-code/ Low code Application Development
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Process Mining and Process Excellence Product Engineering Product Sustenance Public Cloud
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Ransomware Retail Banking
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Software Application Development Software Development Software Engineering Software Modernization Software Product Development Software Product Modernization

What is Big Data?

Big Data is a body of information that is enormous in volume and is constantly expanding exponentially. No typical data management systems can effectively store or process this data because of its magnitude and complexity. Big data is an extremely large type of data, i.e., social media, stock exchanges, and large institutions. Three types of big data are structured, unstructured, and semi-structured.

Such big data needs systematic efforts and provisions for storage, segregation, management, and security. The actual size range of big data is a relative term. When it comes to big data, we are referring to terabytes, petabytes, and exabytes of data.

What are the business benefits of Big Data?

  • Big data enhances fraud prevention systems in large financial institutions by performing robust financial analyses.

  • Big data helps systematic analysis of big chunks of data to derive better business results and insights.

  • Big data is used for data mining to improve customer relationships in organizations to maximize customer acquisition and retention.

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