© 2011 SAP AG. All rights reserved. 1Confidential
Presented by
For the service
Network Planning & Optimization, powered by HANA
tmpl v5.0 2012.06.28
Team Universe
© 2011 SAP AG. All rights reserved. 2Confidential
Agenda1. Team Universe Introduction2. Value Proposition 3. Use Cases4. Our target Audience5. Solution Overview6. Appendix
a. System Requirementsb. Our Solution Architecturec. RDS/WBS Project Plan
tmpl v5.0 2012.06.28
© 2011 SAP AG. All rights reserved. 3Confidential
Team Universe Introduction
Innovation
through
Design Thinking
achieved
Remotely
TEAM UNIVERSE
Jose (Spain)
Rohan (India)
Samantha (South Africa)
Eva (Netherlands)
Cristina (Romania)
Team Universe worked across different time zones, cultures,
languages and geographic distances !
ONE SAP
© 2011 SAP AG. All rights reserved. 5Confidential
Not prepared for Unknown events - Natural Disasters
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Prevent disruption in our connectionsInputs for our predictive model
Predictive Model
© 2011 SAP AG. All rights reserved. 11Confidential
Go To Market – Navigate our customer
• Strategic Advisory for Big Data
• Maturity Framework & Model
• Determine Target Architecture
• Transformation Roadmap
• Data Science Services
© 2011 SAP AG. All rights reserved. 12Confidential
SWOT Analysis – Market Research Telco Industry
Strengths:
Prevent service disruptionPrevent Customer Churn
Examples of KPIs likely to improve:Network AvailabilityNetwork voice quality
Opportunities
Use innovative technology to beat the competitionCustomer retentionOpens the door for Strategic Advisory opportunitiesAdapt the solution for other industries
Threats
Depends partly on 3rd party dataLegal aspect in being the contractor with data supplier
© 2011 SAP AG. All rights reserved. 14Confidential
Potential within SAP Customer Base2013-11-8 SAP Fast Search Accounts
LE ME SE Total
Asia Pacific Japan 37 9 46EMEA
113 38 151Latin America
59 6 3 68North America
107 2 12 121Total
316 55 15 386
© 2011 SAP AG. All rights reserved. 16Confidential
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
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
© 2011 SAP AG. All rights reserved. 17Confidential
Extend Your Analytics Capabilities
ANALYTICS MATURITY
CO
MPETIV
E A
DV
AN
TA
GE
Sense & Respond Predict & Act
Raw Data
Cleaned Data
Standard Reports
Ad Hoc Reports & OLAP
Generic Predictive Analytics
Predictive Modeling
Optimization
What happened?
Why did it happen?
What will happen?
What is the best that could happen?
The key is unlocking data to move decision making from sense & respond to predict & act
Our solution will reside here integrated with
existing PA
© 2011 SAP AG. All rights reserved. 19Confidential
Architecture/ Details
Data Source
Data Source
IntegrationIntegration
Data StoreData Store
Information Access
Information Access
SAP Data Services
SAP Xtract
EDW / Data Marts
SAP, Non SAP sources and contracted commercial data suppliers.
Reporting Analysis Monitoring Predictive BIG DATA
HANA Platform
Hadoop 3rd party
Tool
Sybase Replication Server
Sybase ESP
Integration layer, preparing the data for the data warehouse
Hadoop to process mass data that is less time critical
Enterprise Data Warehouse
BI Suite including Predictive for consumption
Mobile access to enable quicker response to predicted breach in network.
Sybase Event Stream Processor
© 2011 SAP AG. All rights reserved. 20Confidential
START SELLING IN JAN 2014
Our Solution : RDS / Accelerator of PA on HANA for Telco Industry
TO ACCELERATE SAP RDS KXEN IMPLEMENTATIONS
RDS Network Planning PA on HANA for Telco Industry
CONFIDENTIAL. For Internal Use Only.Tmpl v 5.0 2012.06.28
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
SP03
Cloud SAP NetWeaver Cloud portal 1.0
© 2011 SAP AG. All rights reserved. 22Confidential
7
Weeksto go-live
25%
Reduction in project costs
4
Week implementation
RDS Network Planning PA on HANA for Telco Industry
CONFIDENTIAL. For Internal Use Only.Tmpl v 5.0 2012.06.28
60 Days Rapid Deployment WBS Project Plan
On-Site 61,7%
Remote 38,3%
Total
220 ANALYZE X
1 Design the predictive model X Investigate anomalies, groupings/clusters X Remote Local SAM - Services
0 1 2 Detect and define correlation in the data Remote Local SAM - Services SpecialistInvestigate on network performance and network availability opportunities X Remote Local SAM - Services Analyze trends, emerging, sudden step changes and unusual numeric values X Remote Local SAM - Services Integrate historical network performances, key performance metrics XTranslate findings in future network and optimazation planning X Remote Local SAM - Services
2 Data Suppliers X Investigate on and identify potential data suppliers Remote Local SAM - Services SpecialistValidate data that is offered by these suppliers Remote Local SAM - Services SpecialistSelect set of default suppliers Remote Local Bid Manager SpecialistInvestigate anomalies, groupings/clusters X Remote Local SAM - Services Account Manager
3 Validate Predictive model XConsult Statistical Modeller Expert to support desing phase (internal or external) X Remote Local SAM - Services Discuss occurences for input of the model X Validate designed model X Remote Local SAM - Services
1 BUILD X1 Predictive Analysis X
Adapt Predictive Analysis X Remote Local Project Manager Senior PACE-BA-EPM Create Add On for Event and Wheather model On-Site Local Project Manager ExpertInclude predictive model in Add On On-Site Local Project Manager SpecialistDesign and create connector to weahter data source On-Site Local Project Manager SpecialistDesign and create connector to even data source #REF!
2 Integration Layer X Design and build datasource to extract data from selected suppliers On-Site Local Project Manager SpecialistDefine processing sequence for HADOOP tasks X On-Site Nearshor Application Expert PACE-BA-EPMF
3 EDW Layer Design the infoproviders for the structure of the expected data On-Site Local Project Manager SpecialistBuild business content On-Site Local Project Manager Expert
4 Presentation layer XDefine front end tools to present the information to the business user Remote Nearshor Application SeniorDesign reports X Remote Nearshor Application ExpertBuild reports X Remote Nearshor Application Expert
5 ADM Create RDS Content for Network Planning & Optimization, powered by HANA On-Site Local Technology Specialist
Integrate RDS Content for Network Planning & Optimization, powered by HANA with KXEN,BIG Data, HADOOP and Cloud Technology
On-Site LocalTechnology Consultant
Specialist
6 Legal Check IP of our solution Remote Local Project Manager SpecialistConsideration with using data of data providers, structure of contract On-Site Nearshor Project Manager SeniorAre we allowed to recomend a data supplier On-Site Nearshor Project Manager ExpertWhat if telco wants to use consumer data into our models that are protected by privacy laws On-Site Local Project Manager Specialist
7 Negotiate Prices with data suppliers X8 Create licenses
1. Rapid Deployment Solution
WBS #
Serv
ice
CRM
#
Elem
ent I
D
Industry Focus
Sele
ct E
lem
ents
Dep
loym
ent M
ode SAP Accountable Role (PACE)
PACE Competency Category
Del
iver
y M
ode
Cust
omer
Acc
ount
abili
ty
Career Level Solution Profile
Show All Show Selected Column "L" prefilled with selection that might be relevant for RDS
Add New Task Delete Task
RDS Network Planning PA on HANA for
Telco Industry
SAP Financial Close and Disclosure Management, IFRS Reporting with SAP PC, version for Netweaver(Click To Open)
© 2011 SAP AG. All rights reserved. 24Confidential
SPM Business Case: Customer Needs & the Service
Network Planning & Optimization, powered by HANA
© 2008-2012 SAP AG. All rights reserved. / Page 24
Engineered
Innovation
Top Solution Bundle RDS
Incl Consulting Tool? No
Implementation
Service Segmentation
Creation Type new service (never before created/delivered)
Service Type
Service Activity
Customer Needs Solved
Reducing the planning and forecast time for Teleco Netw ork planning and optimization process.Improving predictive planning accuracy and eff iciency for asset maintenanceReplacement 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.
Pain Point Addressed
Improve Operational / Process Efficiency / Speed
Plan Build Run
Service Category MatrixCustomer Engagement Lifecycle
X XXComplete Execution
We deliv er complete solutionExpert Guidance
Quality Management
Enablement
We solv e key challenges
We audit & prov ide direction
We prov ide know ledge & qualifications
Level of Engagement
X
5 Markets Category
Service Segmentation Innovation
Engineered
Database & Technology
Analytics
Service Type
List all that applyCloud
Applications
Mobile
Business Processes Implementable Step
Strategic Business Scope for Industry
Rel for Cust, Value Creating
Sellable and Implementable Unit
Which business processes will this service address? Enter all that apply
Solution ImplementationService Category
List all that apply
© 2011 SAP AG. All rights reserved. 25Confidential
SPM Business Case: Service Position
Network Planning & Optimization, powered by HANA
© 2008-2012 SAP AG. All rights reserved. / Page 25
This service can be sold along other servicesCan service be sold alone or only with another solution?
if only with another, explain below
Top Solution
Stand-alone Capability On its ow n
RDS
SAP CLOUD Established
Predictive Analysis
# of Deals in SW Pipeline?
Product Strategy(remove irrelevant)
Relevant Softw are (Name & Version)Softw are Maturity(dropdow n)
This service relevant for the following SAP software
Next 6 months softw are pipeline information
100.00Established
Relevant Software
Total License Revenues for next 6 months?
€
SAP KXEN
SAP HANA / Sybase ESP
On Demand, On Device, On Premise, Orchestration
On Demand, On Device, On Premise, Orchestration
On Demand, On Device, On Premise, Orchestration
On Demand, On Device, On Premise, Orchestration
In development
Established
How
Promotes Feature/Function-Update Integration w ith SAP KXEN
Add on Potential category Briefly name the relevant SAP solution/componentAdd-on Potential? Will this service support or promote delivering other SAP solutions? If yes,
Portfolio Hierarchy
Placement (Primary)
Established
Consulting Services > Business Analytics Services > Business Intelligence Services > Performance Analytics
Portfolio Maturity
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 diff iculties of use continues to hold dow n the penetration of the markets
© 2011 SAP AG. All rights reserved. 26Confidential
SPM Business Case: Customer Market
Network Planning & Optimization, powered by HANA
© 2008-2012 SAP AG. All rights reserved. / Page 26
Mkt Share
Predictive Analtics
Main Market CompetitionName
SPSS Predictive Analtics
Product/Service PricePoint
SAS Predictive Analtics €
€IBM
€
Market Maturity Emerging
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.
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.
Service Description (Brief)
Market Segment Large Enterprise
Customer Type
List all relevant Buying Centers
Buying Center Executive Mgmt
Operations & Services
Operations Planning
Quality Service
Line of Business Mgmt
Information Technology
New Customer AND Installed Customer Base
TelecommunicationsIndustries