team universe network planning and optimization powered by hana

© 2011 SAP AG. All rights reserved. 1Confidential

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For the service

Network Planning & Optimization, powered by HANA

tmpl v5.0 2012.06.28

Team Universe


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


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


Value Proposition


Not prepared for Unknown events - Natural Disasters


Less prepared for Known events – Big events


The Solution


Managers congratulating Dr.SAP


Use Cases


Prevent disruption in our connectionsInputs for our predictive model

Predictive Model


Go To Market – Navigate our customer

• Strategic Advisory for Big Data

• Maturity Framework & Model

• Determine Target Architecture

• Transformation Roadmap

• Data Science Services


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


Our target Audience


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


Solution Overview


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


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


Appendix


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


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


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)


SPM Business Case: Customer Needs & the Service


© 2008-2012 SAP AG. All rights reserved. /

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


SPM Business Case: Service Position



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




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


SPM Business Case: Customer Market



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

team universe network planning and optimization powered by hana

Technology

sap2011 sap ag

solution2011 sap ag

cases2011 sap ag

solution overview2011

data supplier2011 sap

target audience2011

value proposition2011

sap customer base