Question: Big data Case Study : The problem is to reduce churn ratio by 5% quarterly by analyzing CDR, credit report and billing data of telecom

Big data Case Study: The problem is to reduce churn ratio by 5% quarterly by analyzing CDR, credit report and billing data of telecom operators to mine out churn trends of a specific region or a specific person or and age group.

Questions:

1. Which tools on Slide 12 might you use to describe you metadata? (slide# 12 attached below)

Big data Case Study: The problem is to reduce churn ratio by

Metadata Models Formats UML/RDF/OWL conceptual XML/JSON hierarchical MPEG file format Standards NIEM Law Enforcement, Social Services METS-Library MPEG-Media RDF SOA HL7 Health Data DICOM-Health Imaging AIXM/WIXM/FIXM-Aero Information Exchange Slide 12

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