Three Faces Analytics How Big is a B.Tech project topic for Information Technology. It gives students a clear starting point for research, implementation planning, and documentation.
Three Faces Analytics How Big Project Details
| Abstract |
Organisations are increasingly investing in Big Data Analytics (BDA) to enhance decision-making capabilities, yet the precise relationship between specific analytical approaches and tangible organisational outcomes often remains ambiguous. This systematic literature review synthesises a substantial body of peer-reviewed studies to examine how descriptive, predictive, and prescriptive analytics mediate decision processes across various industries. The analysis reveals three distinct decision domains significantly influenced by BDA: operative decision enablement, transformative decision support, and adaptive decision capability. Descriptive analytics is primarily identified as supporting operational monitoring and facilitating real-time responsiveness within an organisation. Predictive analytics is shown to be instrumental in driving strategic learning initiatives and fostering organisational resilience. Concurrently, prescriptive analytics plays
a critical role in enabling continuous organisational recalibration and adaptation to dynamic environments. The study also identifies persistent tensions that organisations must navigate, including the balance between automation and human intuition, the interplay of algorithmic autonomy and human control, and the trade-off between analytical precision and interpretive transparency. Effectively addressing these challenges is crucial for organisations seeking to realise the full potential of BDA in enhancing decision-making.
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| Reference Paper |
Three Faces Of Analytics: How Big Data Enables Operative Decisions, Drives Transformative Change, and Builds Adaptive Capability |
| Domain |
Information Technology |
| Sub-Domain |
Data Analytics |
| PDF Download |
Download / View PDF |
| Get Help |
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