Big Data, Big Profits: Harnessing the Power of Analytics. Overview

Transcription

1 Big Data, Big Profits: Harnessing the Power of Analytics Overview

2 DD 14 Catalyst Goals 1. Harnessing the power of Big Data Analytics to improve customer experience and achieve business growth 2. Defining and implementing a new and innovative concept for a unified Analytics Big Data Repository (ABDR) 3. ABDR supporting multiple big data use cases and commercial data analytics systems, while avoiding data replications

3 Inline with the Data Analytics Guidebook GB-979 By the Data Analytics Working Group Reference Model Use Cases (A) Building Blocks (B) Business Value Roadmap

4 Project Champions China Mobile Cox Communication Mediacom MTS Allstream Orange Verizon 4

5 Project Suppliers BAE Systems cvidya NetCracker ParStream 5

6 Catalyst Process Phase 1 - Nice 2014: Map the data sources for select use cases from GB-979 Further map the required data from each source Present use cases in multiple commercial tools Identified the need for a unified Analytics Big Data Repository (ABDR) Phase 2 - San Jose 2014: Define ABDR Extract the required data from the ABDR Phase 3 - Nice 2015: Further expansion and implementation best practices for ABDR 6

7 Analytics Big Data Repository (ABDR) A new and innovative concept! A unified layer that can supports multiple use-case and multiple analytics systems Key Benefits: Avoiding data replications Saving in ETL costs & time Savings in hardware (storage & processing power) Faster time to implement new use-cases

8 CSP View Moving into Big Data, and using a unified Analytics Big Data Repository: Why is this project Important? Why is it innovative? How it will be used Who will use it? Needs for standards Benefits / ROI 8

9 Tool 1 Use Cases 1-3 Tool 2 Use Case 4,6,8 Tool 3 Use case 5 Tool 4 Use case 6 Analytics Big Data Repository (San Jose 2014) Data Inventory (Nice 2014) XDRs DPI CRM Social Media Revenue Assurance Fraud Management Customer Experience Churn Prevention Big Data Analytics Guide Book (Use Cases) 9

10 Use Case (BAE Systems) Forecast and monitor impact of investment in network upgrades and marketing programs Predict and forecast customer value paths Plan the network according to margin management Acquiring network, consumer and external data Customer lifetime value and influence scoring Location prediction and profiling

11 Sponsored Data Revenue Assurance Fraud Management Marketing Analytics Personalized offers based on usage Mapping the required data sources Use Cases (cvidya)

12 Use Cases by NetCracker Marketing and Offer Management Real-time Personalized Offers Based on Usage Customer Relationship Management Personalization of Real-Time Interaction in Assisted Care Proactive Care

13 Sponsored Data Use Cases (ParStream) M2M vehicle data Call failure data Customer Relationship Management M2M monitoring Fault analytics Supply Big Data Platform

14 Planned Outcomes New! Define and develop an innovative approach for a unified Analytics Big Data Repository (ABDR) Developing new and validating existing big data analytics use cases as defined in GB-979-A, and as part of TM Forum Frameworx Use cases are created and demonstrated in commercial products

15 Benefits for CSPs Enabling CSPs faster deployment, implementation, and ROI from their Big Data Analytics initiative: Enabling re-use of data for multiple use cases and systems Validating and demonstrating real life big data analytics infrastructure and use cases in a commercial software Mapping and predefining the required data for each use case 15

16 Frameworx Contribution Creating a new and innovative concept for a unified Analytics Big Data Repository (ABDR) Initiate work to further develop ABDR as a sub-project of the big data analytics team New use cases for GB979 Validation and demonstration of the best practices and use cases in GB979

17 What CSPs are saying Service providers preside over a goldmine of data, and big data analytics is becoming an important asset and competence. Yet how to fully extract its value is still a challenge. We are pleased to support the TM Forum's Big Data Guidebook and Catalyst project, which will help us to make a leap forward in extracting the value of big data analytics. - Lifen Zhao, Project Manager, China Mobile 17

18 What CSPs are saying The harmonizing of Big Data in defined and unique ways are becoming an ever increasing asset as we re leveraging data to create and support emerging opportunities. Our involvement in the catalyst project establishes the importance of unified Analytics Big Data Repository, key analytics, and use cases vehicle to achieve increased value, revenue assurance, performance effectiveness and continuous improvement programs. Terrence Phillips, Internal Customer Analytics, Cox Communication 18

19 What CSPs are saying Building on the foundation of the TM Forum s Big Data Analytics Guidebook, the Analytics Big Data Repository(ABDR) provides for a unified layer of use case and analytics agnostic constructs that will help contribute to faster Big Data implementations, resulting in overall reduced costs. Faster implementations and reduced costs all words that should make CSPs take note of this innovative catalyst. Loreen Edkins, Director IT Architecture & Common Services, MTS Allstream 19

20 What CSPs are saying Orange is very interested in data analytics in order to increase efficiency of internal business processes and overall in order to improve omni-channels customer experience by putting it at 360 degrees and by personalizing and enriching it together with guaranteeing privacy of its customers by providing personal data privacy dashboard. TMForum is the right platform to share best practices amongst all players and to capitalize on digital transformation. The catalyst project demonstrates very promising unified Analytics Big Data Repository and some key analytics use cases. Sophie Nachman, Standardization Manager, Orange 20

21 What CSPs are saying Like most CSPs, the challenge for Verizon within the big data arena isn t around the collection of the data it s about being able to drive value from that data to better meet our customers specific needs and drive customer satisfaction. Using the Analytics Big Data Repository (ABDR) as a foundation and a set of reusable use cases defined in the TM Forum Frameworx, we see a cleaner, streamlined path to gaining incredible value from the wealth of customer, network, and external data managed within our systems. Kimberly Simone VP, Business Intelligence & Analytics

22 For more information.. Attend our presentation at the Hub Theater on Wednesday at 2:30pm View the demos at our Catalyst stand Download our Virtual Show Bag Visit our project webpage on the event s website: Link

23 Demos Schedule - Tuesday cvidya BAE

24 Demos Schedule - Wednesday

25 Demos Schedule - Thursday

26 Questions?

27 Thank you! To be continued in Nice, France June 1-4, 2015