Big Data and HANA Story in Vodafone. David Russell, SAP Global Solution Director Vodafone account October 2015

Transcription

1 Big Data and HANA Story in Vodafone David Russell, SAP Global Solution Director Vodafone account October 2015

2 Vodafone today a few facts and figures We are one of the world s largest telecommunications companies providing a wide range of services including voice, messaging, data and fixed broadband. We have 434 million mobile customers and 9 million fixed broadband customers across the globe. We are present in 27 countries. Our growth increased to 43.6bn of revenue. We have 7.1bn invested into our networks. With Project EVO we have rolled out SAP ERP To cover Finance, HR and Supply Chain / Procurement To 90,000 employees Delivered Shared Service Centres with over 5,000 employees using SAP CRM IC Built the Vodafone Procurement Company spending over 10bn / year 2

3 Some of the delivered EVO (SAP ERP) Benefits Savings of: 557m per financial year For our employees: >95% of all expense claims paid within 7 days Shared Services Penetration: >90% of Purchasing Processes Agility for Line Managers: >15% of approvals with Mobile Apps Our processes: >96% reduction in processing General Ledger reports For our CFOs: 1 full day reduction in closing our Month End 3

4 EVO-enabled Mergers & Acquisitions EVO Vouchercloud 110 FTE Bluefish 67 FTE Belcompany Netherlands, 176 stores 1,786 FTE Quickcomm 100 FTE ( Australia & France) Cable & Wireless UK & International 6,000 FTE Kabel Deutschland Germany 3,157 FTE ONO Spain 3,500 FTE

5 More than an ERP SAP HANA EVO Mobile Apps SAP Fieldglass 5

6 Value-based strategy on the HANA Track S15 (IFRS) Fraud on HANA S4 HANA Month End Close Acceleration BW on HANA 6

7 Vodafone SAP HANA evolution from Database to Platform Real-time analysis & reporting + faster processing New HANA applications OLAP & OLTP together HANA Innovation + New User Experience HANA Installed Agile Datamarts Accelerators Fraud Management SAP BW on HANA SAP Business Suite powered by HANA (CRM initially) Co-Innovation (IFRS-15) Fiori + Smart Business Cockpits S4H Foundation Acceleration Real Time Control Simplification Reengineering Business Transformation 7

8 Video Innovation with SAP 8

9 Really Big Data is outside of ERP - Did you know that Vodafone manages Over 1 trillion Voice We carried 1.2 trillion minutes of calls over our network last year that s equivalent of everyone around the world talking for two and a half hours. 544 petabytes Data Over 544 petabytes of data were sent across our network last year that s enough data for over 100 billion one minute video clips. 337 billion Messaging Our network carried 337 billion text, picture, music and video messages last year. 9.3 million Fixed broadband We have 9.3 million fixed broadband customers, mainly in Germany, Spain and Italy. 9

10 HANA Innovation Big Data analysis Big Data management on HANA Leading visualisation tools 10

11 SAP Revenue Assurance Platform Apps (Current Data) Underperforming Clients Margin Drivers Mis-Use OR Fraud Automated Invoice Control New Offer Performance Low margin customers mapped to Vodafone Tariffs & Products. & Price simulation on static usage profiles. SoCs, Tariffs, Products, Customer Behaviour or Events, significantly driving positive or negative margin. Outlier detection and causal effect analysis e.g. SMS boxes, breaching T&Cs. Benchmarking, trend monitoring and alarms. Identification of positive and negative trends month to month. Tag & Track of new product OR tariff introductions. Link with Profitability Time Analysis. Negative Margin Clusters Discount Control End to End Client Performance Profitability Time Analysis Learning & Prediction Combinations of Usage behaviour; Tariffs, Products and SoCs with negative margins. e.g. M2M reverse charging. Hotspots & Mailbox. Showcase Identification of low margin customers driven by discounts e.g. Discount stacking. Or poor combinations. Profitability of ALL Tariffs & Products for all market types & customer segments. e.g. MMC, MMO / Corporate - VGE Top X. Benchmarking, trend monitoring and alarms (against KPIs). Identification of positive and negative trends month to month. Phase 1 Phase 2 WHAT IF analysis leveraging historical trends price and usage elasticity. e.g. Simulation of new propositions; competitor tariffs OR changing regulation. Monthly Teradata Daily Teradata (TBC) 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 11

12 SAP Revenue Assurance Platform Apps (New Data) Device Profitability Commission Control Roaming Reconciliation Geo Profitability Other Profitability Profitability analysis per device and causal effect. Profitability per channel vs commissions. Wholesale invoicing vs actual usage. Profitability analysis based on customer location / address. Analysis of external drivers on profitability. e.g. new technology(4g); mktg campaigns; events. Phase X Additional Data Feed Required 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 12

13 Thank you & Questions Contact: David Russell SAP UK