Network Analytics Accelerator

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1 Network Analytics Accelerator Turn your Big Data into Big Opportunity Joël Viale Telecom Solutions Lab Solution Architect

2 Key trends in Communications 1 Proliferation of Smart Devices/New Network Technologies More Data 2 Social + Mobile + Location = New Frontier Complex Data 3 Shift of focus from Network Silo to End to End Customer Analytics Advanced Analytics 2

3 Netezza enables Smarter Communications Data Mart Generation Enterprise Data Warehouse Load Enterprise Data Warehouse Operational systems Network Business systems Operational Reporting and Dashboards Targeted Big Data, Big Analytics Applications Business Application Business Application 3

4 Current situation: Fragmented, inconsistent insight Events/Logs Active/Passive Probes Data is silo d all over the network Data can be incomplete and lack history Reports can be inconsistent Difficult to perform end-to-end analytics Platforms can t handle the volumes DPI tools OSS Subscriber Intelligence Network Reference Data Network Intelligence Revenue/Cost BSS Profitability Optimisation Reference Data 4

5 Network Intelligence Single view of Network, Customers, Services, Handsets and Profitability Events/Logs Active/Passive Probes Access to data sitting in the silos Models that correlate the data across the silos Enable end to end detailed/historical analytics that map Customer to Network to Services Speed, Simplicity, Scalability, Smart DPI Tools OSS Subscriber Intelligence Network Reference Data Revenue/Cost Network Intelligence BSS Reference Data Profitability Optimisation 5

6 If access to data was no longer an issue, what insight could change the way you do business? 6

7 Netezza unlocks incredible value from the data available to a CSP Customer Intelligence Profitability Optimisation Network Intelligence Validate revenue Verify cost Margin management 7 7 7

8 Analytics are delivering smarter outcomes for communication services providers What if Customer Service Representatives Could offer personalized price promotions to different customer segments in realtime? Network Operations Could deliver improved network performance while reducing capital investments and costly truck rolls? Executive Leaders Could make better business decisions using accurate data across all time horizons: past, present, and future? Finance Could reduce operating costs, perform dynamic budgeting & forecasting and improve overall profitability? Business Development Could find new mechanisms to monetize network traffic and partner with upstream content proivders? Marketing Could develop target acquisition and retention campaigns with better results and lower costs? Business Analysts Could do what if analysis to predict the impact of new pricing models and subscription packages? 8

9 Use Case: Identify high-value customers who have been affected by poor network performance/congestion How has my 3G network been performing? 1 Identify cell sites according to their congestion levels over the last 6 months Which are the top 5 congested cell sites? How many high value ARPU customers were affected by congestion? 2 3 Cell sites with > 55% capacity Customers with more than $100 ARPU/month Cell sites with <55% capacity Customers with less than $100 ARPU/month Optimizing spend: Prioritization of Network Cell Site upgrade based on Congestion Severity Indicator and trend What kinds of service failures were experienced? 4 30%experienced abnormal call drops 45% experienced poor broadband experience What initiatives can be launched to counteract negative quality of experience? 5 Customer Care can launch proactive initiatives to reach out to these high value customers and engage in retention campaigns while Network can perform root cause analysis on these failures Reduction of customer churn; Increase of Customer Lifetime Value 9

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