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Sap Forum Ankara on behalf of MDS ap 20-02-2014
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New Dynamics of Enterprise Data with
SAP Business Analytics
Muzaffer YÖNTEM /([email protected] )
MDSP ap Country Manager
20 February 2014
@myontem
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 2
To Continually deliver world Class Solutions &
Technologies with SAP
Help Customers better use their data assets to
Improve Performance and make smarter decisions
Core focus on Customer satisfaction & Technology innovations
“A Midis Group company & a
Sybase Products Middle East
affiliate company”
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 3
The Group
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 4
Successful public sector organizations . . .
Effectively align goals and resources to balance risk and
opportunities for optimal Government support to
citizens
They do it by:
Aligning resources to desired outcomes
Understanding the costs of delivering citizen services
Enabling flexibility to anticipate shifts in priorities
Prevention and detection of fraud, waste and abuse
Result:
Tailor resources to citizen demands while increasing
efficiency
Conduct government transformation through innovative
strategies to contain costs and maximize revenue
Provide transparency and self service access to
constituents
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 5
Delivering remarkable business performance: What did the best do in Public Services?
- 50 % Time to collect data
-30% -66% Reduce budget prep time
VRL Research & Asian Banker
Time to project completion
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 6
Leading indicators enable the performing government and
sustain citizen services
Program funding
Time to welfare payment
Of outstanding accounts payable
Payroll errors
Time to tax collection
Crime detection rate
Costs of citizen services
Contracts compliance
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 7
DATA
Big Data is among
us
PEOPLE
New Challenges for The Single Version of The Truth
People’s expectations
have changed
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 8
Going beyond just reporting yesterday’s
news to enable Public Sector to run smarter
OP
ER
AT
ION
S l H
R l F
INA
NC
E | P
RO
CU
RE
ME
NT
l AS
SE
TS
PROGRAM MANAGEMENT I CITIZEN SERVICES I SOCIAL AID I PUBLIC TRANSPORTATION I PUBLIC
SAFETY
Tom Davenport International Institute for Analytics
TAX & REVENUE COLLECTION I CITIZEN DELIVERY I ACCOUNTABILITY & TRANSPARENCY I COMPLIANCE PU
BL
IC D
EF
ICIT
I B
UD
GE
T P
ER
FO
RM
AN
CE
MA
NA
GE
ME
NT
I P
OL
ICY
How and why
did it happen?
What is the risk if it
does/doesn’t happen?
How do you prevent /
ensure it happens again?
What
happened?
What is
happening now?
What will
happen?
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 9
Mobile
CRM Data
Planning
Opportunities
Transactions
Citizens Sales Order
Things
Instant Messages
Complaints
Demand
Inventory
Big Data
Sales Order
Things
Mobile
Demand
Big Data
Customer Planning Transactions
And Includes All Data Types
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 10
But most organizations are not addressing this opportunity… Traditional metrics are backward looking
Most Established
KPIs are “Backward
Looking”
$2
Billion
Annual revenue increase made possible
if the Fortune 1000 business increased
the usability of its data by just 10%
10%
75%
Use Analytics
Today
Need
Analytics
by 2020
Nucleus Research, Gartner, Fortune Magazine
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 11
Source: IDC, 2011
Operational Reporting
& Data warehousing
Business
Analytics
MARKET EVOLUTION
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 12
A day in the life with mobile analytics suite
8:02am
Smart search
8:23am
Explore/access
big data
4:45pm
Google maps
identify next
best place
12:32pm
Collaborate
6:14am
Time sensitive alerts
7:17pm
Offline use and BI
on demand
Product profitability
Compliance Monitoring
Travel & expense
Pipeline
search
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 13
75% need access
50% need access
10% have access
2012
2014
2020
+80% per year
Users Data
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 14
75% need access
50% need access
10% have access
2012
2014
2020 +80
% per year
Users Data
FLASHPOINT
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 15
DATA PEOPLE
A Network of Truth Is Needed
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 16
Business Intelligence Business Analytics
Differentiation Innovation
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 17
Standard Reports
Ad-hoc Reports
OLAP & Visualization
Dashboards & Scorecards
Exploration & Visualization
Value
Predictive Modeling
Traditional Business Intelligence
Big Data Analytics
Org
an
izati
on
al &
Co
mp
eti
tive I
mp
act
Not all business intelligence is the same The analytical tools continuum
Co
lle
cti
ve
In
sig
ht
Maturity of Analytics Capabilities
Use
r E
ng
ag
em
en
t
Analytics solutions from SAP
Agile
Visualization
Advanced
Analytics
Big
Data
Mobile
Collaboration
Cloud
Enterprise
Business Intelligence
© 2013 SAP AG. All rights reserved. 19
What makes analytics solutions from SAP for
Public Sector different?
Improved Decision Making
Mobile
Analytics
Citizen Insight Rapid
Deployment Services
BI as
Self-Service
Integrated with
SAP Business Suite
Accountability &
Transparency
BI on the Cloud
Complete,
Affordable Solution
Out-of-the-Box
© 2012 SAP AG. All rights reserved. 21
Now in one complete package from SAP
Answers
IQ
Operational Data
SAP BusinessObjects BI, analytics edition
Analytic
DBMS
Data Sources e.g.
Oracle 11g, IBM DB2,
Microsoft SQL Server
ASE,ASA….
© 2011 SAP AG. All rights reserved. 22
SAP BusinessObjects BI Analytics edition
ERP Unstructured data OLAP Cubes MS Excel Databases Applications CRM
Business Intelligence Platform
Sybase IQ (Enterprise Data Warehousing)
SAP BusinessObjects Data Services
Enterprise Portals
MS Office On Demand Services
Browsers Mobile Devices Embedded Content
Visualization Discovery Dashboards Analysis* Reporting
Data Quality Data Integration Information Governance
Also traditional IT architectures are
pressured …driving new solutions such as
Hadoop
2.8 ZB in 2012
85% from New Data Types
15x Machine Data by 2020
40 ZB by 2020
New Sources (Sentiment,
Clickstream, Geo, Sensor)
Ref: H
orto
nw
ork
s
23
Big Data success demands full coverage
Accessible
Deep
Simple Real Time
Broad
Answer complex questions on granular data
Predict the best next action
On any device or to any user
Self service and intuitive
interactions
No data preparation
No pre-aggregates
No tuning
Real-time streams of data
Ask a question, get an
immediate answer
Massive data scale
Many data types
24
SAP HANA/ Hadoop Reference Architecture
H2 – The Power of SAP HANA and
Hadoop
Big Data Platform Big Data Science
Real Time Real Value Real Results
Big Data
Analytics & Apps
SAP: Real-time, with real results
26
© 2011 SAP AG. All rights reserved. 27
Each user profile requires different BA usage
C-Executives
BU Unit Heads
Managers
Po
rtal In
teg
ratio
n (S
ha
rep
oin
t,WS
,SA
P)
Real-Time
Spontaneous
Analysis
İnteractive Data
Visualization &
Dashboard
Imp
ac
t A
na
lys
is &
Da
ta L
ine
ag
e
Desktop Widget
&
MS Office Support
Multi Dimentional
Analysis
(OLAP,ROLAP..)
Business Analytics
Needs
Operational
Reporting
Ad-Hoc Query
Analysis
Mobile Business Intelligence
Analysts
Data Scientist
Expert User
IT Unit
Mobile Business Intelligence
Predictive Analysis
© 2011 SAP AG. All rights reserved. 28
BI Widget Usage
© 2011 SAP AG. All rights reserved. 29
SAP BusinessObjects Mobile BI
© 2011 SAP AG. All rights reserved. 30
SAP BusinessObjects Explorer
SAP Lumira: Visualizing Big Data unleash analyst creativity
Provides the freedom to understand your data,
personalize it, and create beautiful content
Download and install on your desktop
in less than 5 minutes
Insight from many data sources
Combine, manipulate and enrich data
to apply it to your business scenarios
Self-service visualizations and
analytics to tell your story
Optimized for SAP HANA for real-time
on detailed data
Self Service for
Analysts
31
Q&A