GB979 Big Data Analytics Guidebook R16.0.1

Big Data Analytics is having a huge transformative impact on many industries. Combining more effective lower cost data storage and presentation with better data processing mechanisms has allowed many industries to unlock additional value from their existing data. This is especially the case for digital service providers where there is an abundance of available data as well as the desire for such service providers to investigate new revenue sources.

TM Forum, in its role in steering technology, terminology, standards and best practices within the digital services space, has an active Big Data Analytics Project group to lead the introduction and adoption of Big Data Analytics within this space. The group initially released their first document, TR202 to provide a standard architecture reference model for Big Data Analytics. This document introduced the concept of the reference implementations and also outlined an initial set of business-level use-cases to help with the deployment of Big Data Analytics in Telecoms projects.

In this release of the guidebook the reference Model has been updated to differentiate between streaming analytics and real-time analytics. The practical value of each has been clearly enunciated. Also, the Data Governance vertical has been enhanced to include clear definitions and processes.