4. The Reality of the Internet of Everything
1 billion
Facebook
users
4 billion
YouTube views
per day
Data
doubles
every 18
months
15
billion
web-enabled
devices
5 billion
in emerging
middle class
5. 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
7. 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 insights
IT is not agile enough and the
business wants to get involved
=
8. Most
Established
KPIs too
10%
75%
Use Analytics
Today
Need
Analytics
by 2020
$2.01B
Annual 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
9. 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?
UserEngagement
Maturity of Analytics Capabilities
Self
Service BI
Generic
Predictive Analysis
End-to-end
Easy adoption
Fast implementation
Business focused
Enable storytelling
CollectiveInsight
10. Unleashing the power of Collective Insight
ENGAGE PREDICTVISUALIZE
Real-time Platform
12. 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
13. SAP PREDICTIVE ANALYTICS
Fast Simple Everywhere
MAKE PREDICTIONS SIMPLE,
FAST, AND ACCURATE
Automated predictive workflow
Embedded predictive analytics in business processes and apps
ACT WITH CONFIDENCE AT THE POINT
OF DECISION
Real-time predictive on big data with SAP HANA
SPOT OPPORTUNITIES IN
REAL-TIME
16. Challenging to detect
meaningful signals in
big data
Severe analytics
skills shortage 50-60% shortfall for
experienced data analysts
Dun & 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
17. 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 Analytics
Confidently anticipate what comes next
to drive better business outcomes
PREDICT
18. 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 Visualization
Intuitively explore and present data to reveal new insights at-a-glance
VISUALIZE
19. Thank you
Contact information:
Maher Salameh
Channel Sales Manager – Kuwait
SAP Middle East & North Africa LLC
1st Floor, AlDhow Tower | Kuwait City | Kuwait
T +965 22966450| F +965 22966455
KWT M +965 960 888 23