Appendix: Use Cases and Functional Requirements Big data and analytics are transforming every industry. The table below shows common use cases and
requirements for analytics in specific industries.
Industry # Use Case/Requirement Detail Telco 1
Innovative business models Create data-driven API models for improved customer
satisfaction.
2
Operational efficiency Offer world-class customer care by tracking in-depth
subscriber activity, anticipating and monitoring issues
and reducing call center wait times.
3
Real time analytics and decision making Control and reduce network congestion by profiling
subscribers and dynamically allocating capacity.
Retail 4
Personalized recommendations Create data-driven API models for improved
personalized customer next best offers.
5
Dynamic pricing Provide differentiated dynamic pricing based on
seasonal, fashion, and other trends.
6
In-store experience Use geo fencing based on near field communication
(NFC) and provide guided selling experience in store.
Banking 7
Fraud detection Enable real-time fraud detection, alerting, and
remediation based on the transaction and behavioral
data that is collected and analyzed for billions of
transactions.
8
Sales and marketing campaigns Use comprehensive customer insights to provide
targeted campaigns integrating them with
personalized offers and schemes.
9
Threat detection and compliance Use big data analytics with active and passive probes
to test system weaknesses and attacks, collect data for
auditing, and provide a line-of-business dashboard of
the overall exposure.