Team Universe Network Planning and Optimization powered by HANA

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
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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
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2011 SAP AG. All rights reserved.
Confidential
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8. Managers congratulating Dr.SAP
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2011 SAP AG. All rights reserved.
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9. Use Cases
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2011 SAP AG. All rights reserved.
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10. Prevent disruption in our connections
Inputs for our predictive model
Predictive Model
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2011 SAP AG. All rights reserved.
Confidential
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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
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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
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2011 SAP AG. All rights reserved.
Confidential
12

13. Our target Audience
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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
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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
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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
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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
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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