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Maher Salameh│
Sales Manager- 7th May 2015
Is there a New Age of Analytics in the World of Big Data?
© 2013 SAP AG. All rights reserved. 2
Agenda
• Overview of Data Analytics
• The importance of Big Data
• Unlocking the value of DARK DATA
• Unleashing the power of Collective Insight
© 2013 SAP AG. All rights reserved. 3
Overview
Analytics - is the use of data, information technology, statistical analysis, quantitative methods and
mathematical or computer-based models to help managers gain improved insight about their business
operations and make better fact-based decisions.
History of information:
Cave Painting –
Printing press –
Telephone –
TV –
PC –
ERP –
Internet
6000BC
1440
1870
1950
1981
1990
1992
The Reality of the Internet of Everything
1 billion Facebook
users
4 billion YouTube views
per day
Data
doublesevery 18
months
15
billionweb-enabled
devices
5 billion in emerging
middle class
5
Internet of Things: Disrupting every aspect of business
2009: 2.5 billion devices with
individual Internet IP addresses,
most of them servers, PCs,
smartphones and other
traditional IT hardware.
2020: number will be 30 billion
Connected Devices
will add
$1.9 trillion to global economy
Spending will focus on
cardiac monitors to semi-
trailer telematics to
refrigerators and self-
adjusting home heating/air-
conditioning systems.
Global IT spending
will grow
$3.8 trillion during 2014
© 2013 SAP AG. All rights reserved. 6
It’s No Longer Sense and Respond …
Ever Faster
Decision Cycle
Analytical
Skill Gap
“Demand for deep
analytical talent in the US
could be 50 to 60%
greater than its projected
supply by 2018”
McKinsey Global Institute
1 11
Transactions
Conversations
Machines
Massive
Amount of Data
Gartner
10%
75%
Use Analytics
Today
Need
Analytics
by 2020
Nucleus Research, Gartner, Fortune Magazine
Unlocking the value of “Dark Data”
Ability to manage and consume
all data is getting harder
Not utilizing all the
information out there
Not leveraging the power of
collective insight
Missing new insightsIT is not agile enough and the
business wants to get involved
=
Most
Established
KPIs too10%
75%
Use Analytics
Today
Need
Analytics
by 2020
$2.01BAnnual revenue increase possibility if the
median Fortune 1,000 business increased
the usability of its data by just 10%
1,000%return on investment for every $1
spent on analytics
Nucleus Research, Gartner, Fortune Magazine
Companies are missing new signals
8
How analytics need to evolve to deliver
collective insights
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc
Reports &
OLAP
Agile
Visualization
Predictive
Modeling
Optimization
What happened?
Why did it happen?
What will happen?
What is
the best that
could happen?
Use
r E
ng
ag
em
en
t
Maturity of Analytics Capabilities
Self Service BI
Generic
Predictive Analysis
End-to-end
Easy adoption
Fast implementation
Business focused
Enable storytelling
Co
lle
cti
ve
In
sig
ht
Imagine the potential…
:-)Brand Sentiment
360O Customer View
Product Recommendation
Propensity to Churn Real-time Demand/
Supply Forecast
Predictive Maintenance
Fraud Detection
Network Optimization Insider Threats
Risk Mitigation, Real-timeAsset Tracking Personalized Care
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
12
SAP PREDICTIVE ANALYTICSFast Simple Everywhere
MAKE PREDICTIONS SIMPLE,FAST, AND ACCURATE
Automated predictive workflow
Embedded predictive analytics in business processes and apps
ACT WITH CONFIDENCE AT THE POINTOF DECISION
Real-time predictive on big data with SAP HANA
SPOT OPPORTUNITIES INREAL-TIME
© 2013 SAP AG. All rights reserved. 14
Customer Intelligence at the Point of Decision:A Predictive Analytics Example
Customer
Value Intelligence
Audience
Discovery & Targeting
Account
Intelligence
Rapidly and easily segment large
customer populations
Manage Target Groups for insight
to action
Trigger initiatives like customized
offers for each segment and channel
Real-time and complete view of all
Customer activities
Comprises Sales, Financials, CRM,
and external sources like customer
satisfaction, social media data
Deep insight into revenue and
profitability of customers, products
and channels
© 2013 SAP AG. All rights reserved. 15
freshdirect and STORES.ORG Zappos.com Chico's FAS, Inc
80% >20% 50%
Example of Retailers using BI
Reduction in late
customer deliveries
Productivity
improvement in
financial close
Reduction in
fashion soft
goods import fees
Challenging to detect
meaningful signals in
big data
Severe analytics
skills shortage 50-60% shortfall for
experienced data analystsDun & Bradstreet and McKinsey Global Institute analysis
68% of organizations that
used predictive realized a
competitive advantage
Sense and respond are no longer enough
Difficult to apply
predictive algorithms
to anticipate business
trends
Predictive results incorporated
into more applications and
processes, for more users
Bridges the skills gap
between human experts vs.
analytical experts
Predict and act in real-time
Advanced AnalyticsConfidently anticipate what comes next
to drive better business outcomes
PREDICT
Discover hidden patterns
in information
Users can intuitively explore,
understand, and present data to
make better decisions
Analytics reach the fringes of
the organizations
Agile VisualizationIntuitively explore and present data to reveal new insights at-a-glance
VISUALIZE