Team Universe Network Planning and Optimization powered by HANA

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Team Universe Network Planning and Optimization powered by HANA

Team Universe Network Planning and Optimization powered by HANA

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  • Leverage data science services from SAP to uncover new signals hidden in your data. Engage design thinking experts to uncover critical business needs and opportunities. Rapidly deploy solutions with SAP Consulting services that range from a one-time expert advice session to ongoing management and support.
    Data Science Services
    The data science services team can help you define and implement a Big Data strategy to transform volumes of data into clear business insights and to optimize execution to maximize business performance. The data science services team can help you define a specific plan for your business by offering:
    Industry-specific and business knowledge: Our experts can help you identify, develop, and drive high-value innovative business ideas by providing trusted advise from inception all the way to execution.
    Differentiating data science: Our leading-edge mathematical models and algorithms have been specifically developed to efficiently process large volumes of data and provide accurate forecasts of future performance.
    Visualization and decision support: With performance analytics and decision support capabilities, our experts can you visual and assess business options to ensure the best possible outcome.
    Discover how the data science services team from SAP can help you outperform your competition with industry-based solutions to handle Big Data.
  • Strategic Advisory for Big Data
    Maturity Framework & Model
    Determine Target Architecture
    Transformation Roadmap
    Data Sience Services
    Validate template predictive model with customer
    Leverage local market knowledge
  • SYBASE ESP
    React quickly to critical events – with real time, event-driven analytics
    Analyze and act on events as they happen – by relying on real-time event-driven analytics. With our award-winning complex event processing (CEP) platform, you can develop and deploy business-critical applications that give you the agility you need to make quick, profitable decisions.
    What Is Apache Hadoop?
    The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Transcript

  • 1. Presented by Team Universe For the service Network Planning & Optimization, powered by HANA 2011 SAP AG. All tmpl v5.0 2012.06.28rights reserved. © Confidential 1
  • 2. Agenda 1. 2. 3. 4. 5. 6. Team Universe Introduction Value Proposition Use Cases Our target Audience Solution Overview Appendix a. System Requirements b. Our Solution Architecture c. RDS/WBS Project Plan 2011 SAP AG. All tmpl v5.0 2012.06.28rights reserved. © Confidential 2
  • 3. Team Universe Introduction TEAM UNIVERSE Cristina (Romania) Samantha (South Africa) Innovation through Team Universe worked across different time zones, cultures, languages and geographic distances ! Design Thinking ONE SAP Rohan (India) achieved Remotely Eva (Netherlands) Jose (Spain) © 2011 SAP AG. All rights reserved. Confidential 3
  • 4. Value Proposition © 2011 SAP AG. All rights reserved. Confidential 4
  • 5. Not prepared for Unknown events - Natural Disasters © 2011 SAP AG. All rights reserved. Confidential 5
  • 6. Less prepared for Known events – Big events © 2011 SAP AG. All rights reserved. Confidential 6
  • 7. The Solution © 2011 SAP AG. All rights reserved. Confidential 7
  • 8. Managers congratulating Dr.SAP © 2011 SAP AG. All rights reserved. Confidential 8
  • 9. Use Cases © 2011 SAP AG. All rights reserved. Confidential 9
  • 10. Prevent disruption in our connections Inputs for our predictive model Predictive Model © 2011 SAP AG. All rights reserved. Confidential 10
  • 11. Go To Market – Navigate our customer • Strategic Advisory for Big Data • • © Determine Target Architecture • • Maturity Framework & Model Transformation Roadmap Data Science Services 2011 SAP AG. All rights reserved. Confidential 11
  • 12. SWOT Analysis – Market Research Telco Industry Strengths: Prevent service disruption Prevent Customer Churn Examples of KPIs likely to improve: Network Availability Network voice quality Opportunities Threats Use innovative technology to beat the competition Customer retention Opens the door for Strategic Advisory opportunities Adapt the solution for other industries Depends partly on 3rd party data Legal aspect in being the contractor with data supplier © 2011 SAP AG. All rights reserved. Confidential 12
  • 13. Our target Audience © 2011 SAP AG. All rights reserved. Confidential 13
  • 14. Potential within SAP Customer Base 2013-11-8 SAP Fast Search Accounts LE Asia Pacific Japan EMEA Latin America North America Total © 2011 SAP AG. All rights reserved. ME SE Total 37 9 46 113 38 151 59 6 3 68 107 2 12 121 316 55 15 386 Confidential 14
  • 15. Solution Overview © 2011 SAP AG. All rights reserved. Confidential 15
  • 16. Our Solution Action Plan   © RDS Content Creation for Telco Network Planning and Optimization Create a Add in component for Predictive Analysis tool  Extract information from Weather and Big Events type websites 2011 SAP AG. All rights reserved.   Adapt Network Planning and Optimization RDS for other industries e.g. Retail, Insurance and Banking Adapt the Add in component for Predictive Analysis tool  Extract information for other specific Industries   Integrate Network Planning and Optimization RDS with KXEN,BIG Data, HADOOP and CLOUD technology Adapt the Add in component for Predictive Analysis tool with KXEN,BIG Data, HADOOP, Sybase ESP and CLOUD technology Confidential 16
  • 17. Extend Your Analytics Capabilities COMPETIVE ADVANTAGE Sense & Respond Predict & Act Our solution will reside here integrated with existing PA Optimization What is the best that could happen? Predictive Modeling Raw Data Standard Cleaned Reports Data Ad Hoc Reports & OLAP Generic Predictive Analytics What will happen? Why did it happen? What happened? ANALYTICS MATURITY The key is unlocking data to move decision making from sense & respond to predict & act © 2011 SAP AG. All rights reserved. Confidential 17
  • 18. Appendix © 2011 SAP AG. All rights reserved. Confidential 18
  • 19. Architecture/ Details Mobile access to enable quicker response to predicted breach in network. Information Information Access Access Reporting Analysis Monitoring DATA Predictive BIG BI Suite including Predictive for consumption Enterprise Data Warehouse EDW / Data Marts Data Store Data Store Sybase Event Stream Processor Sybase ESP Integration Integration HANA Platform Sybase Replication Server Data Data Source Source © 2011 SAP AG. All rights reserved. SAP Data Services Hadoop 3rd party Tool SAP Xtract Hadoop to process mass data that is less time critical Integration layer, preparing the data for the data warehouse SAP, Non SAP sources and contracted commercial data suppliers. Confidential 19
  • 20. RDS Network Planning PA on HANA for Telco Industry START SELLING IN JAN 2014 Our Solution : RDS / Accelerator of PA on HANA for Telco Industry TO ACCELERATE SAP RDS KXEN IMPLEMENTATIONS © 2011 SAP AG. All rights reserved. Confidential 20
  • 21. System Requirements Software Product Product Version Component HANA 1.0 SPS 6 Big Data , HADOOP Hadoop 2.2.0 Predictive Analysis SAP Predictive Analysis 1.0.11 Sybase ESP SAP Sybase Event Stream Processor 5.1 Cloud SAP NetWeaver Cloud portal 1.0 Tmpl v 5.0 2012.06.28 SP03 CONFIDENTIAL. For Internal Use Only.
  • 22. RDS Network Planning PA on HANA for Telco Industry 25% 4 Reduction in project costs © 7 Weeks to go-live Week implementation 2011 SAP AG. All rights reserved. Confidential 22
  • 23. Add New Task Delete Task Show All Show Selected 1 ANALYZE Design the predictive model Investigate anomalies, groupings/clusters 0 1 22 X X X Analyze trends, emerging, sudden step changes and unusual numeric values Integrate historical network performances, key performance metrics Translate findings in future network and optimazation planning Data Suppliers X X X X X Investigate on and identify potential data suppliers Validate data that is offered by these suppliers Select set of default suppliers Investigate anomalies, groupings/clusters 3 Validate Predictive model Consult Statistical Modeller Expert to support desing phase (internal or external) Discuss occurences for input of the model Validate designed model 1 1 BUILD Predictive Analysis Adapt Predictive Analysis X X X X X X X X Create Add On for Event and Wheather model Include predictive model in Add On Design and create connector to weahter data source Design and create connector to even data source 2 Integration Layer Define processing sequence for HADOOP tasks X Build business content Presentation layer Design reports Build reports X X 38,3% Total SAM - Services SAM - Services SAM - Services SAM - Services Remote Local SAM - Services Remote Remote Remote Remote Local Local Local Local SAM - Services Specialist SAM - Services Specialist Bid Manager Specialist SAM - Services Account Manager Remote Local SAM - Services Remote Local SAM - Services Remote On-Site On-Site On-Site Local Local Local Local Project Manager Project Manager Project Manager Project Manager Senior Expert Specialist Specialist On-Site Local Project Manager On-Site Nearshor Application Specialist Expert Specialist Expert Specialist PACE-BA-EPM Local Local Project Manager Project Manager PACE-BA-EPMF Remote Nearshor Application Remote Nearshor Application Remote Nearshor Application Senior Expert Expert ADM On-Site Local On-Site Local Technology Technology Consultant Specialist Specialist Legal Check IP of our solution Consideration with using data of data providers, structure of contract Are we allowed to recomend a data supplier What if telco wants to use consumer data into our models that are protected by privacy laws Tmpl v 5.0 2012.06.28 61,7% Remote Local Local Local Local Integrate RDS Content for Network Planning & Optimization, powered by HANA with KXEN,BIG Data, HADOOP and Cloud Technology 7 8 On-Site Remote Remote Remote Remote Create RDS Content for Network Planning & Optimization, powered by HANA 6 Industry Focus X Define front end tools to present the information to the business user 5 Solution Profile EDW Layer Design the infoproviders for the structure of the expected data 4 Career Level #REF! X Design and build datasource to extract data from selected suppliers 3 PACE Competency Category On-Site On-Site 2 Detect and define correlation in the data Investigate on network performance and network availability opportunities 2 SAP Accountable Role (PACE) Column "L" prefilled with selection that might be relevant for RDS 1. Rapid Deployment Solution 0 Deployment Mode RDS Network Planning PA on HANA for Telco Industry Select Elements Service CRM # Element ID WBS # Delivery Mode (Click To Open) Customer Accountability 60 Days Rapid Deployment WBS Project Plan Negotiate Prices with data suppliers Create licenses Remote Local Project Manager On-Site Nearshor Project Manager On-Site Nearshor Project Manager On-Site Local Project Manager Specialist Senior Expert Specialist X CONFIDENTIAL. For Internal Use Only.
  • 24. Network Planning & Optimization, powered by HANA SPM Business Case: Customer Needs & the Service Custom er Needs Solved Reducing the planning and forecast time for Teleco Netw ork planning and optimization process. Improving predictive planning accuracy and efficiency for asset maintenance Replacement for spread sheet based predictive planning Spending more time on analysis and less time on transaction w ork. Automation of actual data integration from SAP, Non SAP source systems, Web sites etc. Competition w ithin telco industry is aggessive, risks are churn of consumers, lack of loyalty and capability to retain the customer. Predictive Analytics technology and innovation to increase the netw ork performance and keep the consumer happy. Creation Type Service Type Service Segm entation Top Solution Bundle Incl Consulting Tool? Service Activity Business Processes Which business processes will this service address? Enter all that apply © Pain Point Addressed Improve Operational / Process Efficiency / Speed Service Category Matrix Customer Engagement Lifecycle Level of Engagement Plan Build Run Com plete Execution X X X We deliv er complete solution Expert Guidance We solv e key challenges Quality Management We audit & prov ide direction Enablement X We prov ide know ledge & qualifications Service Type Engineered Service Segmentation Innovation 5 Markets Category Analytics Cloud List all that apply Database & Technology Applications Mobile new service (never before created/delivered) Engineered Innovation RDS No Im plem entation Implementable Step Strategic Business Scope for Industry Rel for Cust, Value Creating Sellable and Implementable Unit 2011 SAP AG. All rights reserved. Service Category Solution Implementation List all that apply Confidential 24
  • 25. Network Planning & Optimization, powered by HANA SPM Business Case: Service Position Stand-alone Capability if only with another, explain below On its ow n Can service be sold This service can be sold along other services alone or only with another solution? Top Solution Portfolio Hierarchy Placement (Primary) Portfolio Maturity RDS Consulting Services > Business Analytics Services > Business Intelligence Services > Performance Analytics Established Relevant Softw are This service relevant for the following SAP software Softw are Maturity Product Strategy Relevant Softw are (Name & Version) (dropdow n) (remove irrelevant) Predictive Analysis Established On Demand, On Device, On Premise, Orchestration SAP KXEN In development On Demand, On Device, On Premise, Orchestration SAP HANA / Sybase ESP Established On Demand, On Device, On Premise, Orchestration SAP CLOUD Established Next 6 months softw are pipeline information # of Deals in SW Pipeline? Total License Revenues for next 6 months? On Demand, On Device, On Premise, Orchestration Add-on Potential? Will this service support or promote delivering other SAP solutions? If yes, Briefly name the relevant SAP solution/component How Add on Potential category Promotes Feature/Function-Update Integration w ith SAP KXEN © 2011 SAP AG. All rights reserved. 100.00 € Competitive Situation Open Source R and in memory disrupting Market Units Big Data Use cases are driving in the opportunity Lack of skill set and difficulties of use continues to hold dow n the penetration of the markets Confidential 25
  • 26. Network Planning & Optimization, powered by HANA SPM Business Case: Customer Market Service Description (Brief) Our solution predicts close to accurate usage and netw ork spikes and disruption in mobile netw orks. With our solution mobile telco providers can minimize the netw ork disruption and so improve the netw ork quality and performance experience of the consumer, the customer of our customer. Business User ow ned and managed solution w ith single version of truth Add-on to existing SAP Predictive Analytics tool w hich has internal connectors to data providers for example w eather and mass events data sources obtained from various w eb sites, social media and other data sources ie basically a DATA Landing solution also using the statistical capabilities of the new ly acquired tool currently know n as KXEN. Market Segm ent Customer Type Buying Center List all relevant Buying Centers Large Enterprise New Customer AND Installed Customer Base Executive Mgmt Operations & Services Operations Planning Quality Service Line of Business Mgmt Information Technology Industries Telecommunications The information w ill be combined w ith existing data from the telecom provider into data mart. Predictive Analytics w ill discover potential disruption and spikes before they actually happen. With this information, the telecom provider can take timely measures to prevent and signal disruption to its customers. Market Maturity Emerging Main Market Competition Name SAS € Predictive Analtics € SPSS 2011 SAP AG. All rights reserved. Predictive Analtics IBM © Product/Service Predictive Analtics € PricePoint Confidential Mkt Share 26