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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
doubles
every 18
months
15
billion
web-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’sNoLongerSenseandRespond…
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 insights
IT is not agile enough and the
business wants to get involved
=
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
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
Unleashing the power of Collective Insight
ENGAGE PREDICTVISUALIZE
Real-time Platform
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 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
© 2013 SAP AG. All rights reserved. 14
CustomerIntelligenceatthePointofDecision:
APredictiveAnalyticsExample
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 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
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
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
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

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Dr. Maher salameh - new age of data analytics

  • 1. Maher Salameh│ Sales Manager- 7th May 2015 Is there a New Age of Analytics in the World of Big Data?
  • 2. © 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
  • 3. © 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
  • 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
  • 6. © 2013 SAP AG. All rights reserved. 6 It’sNoLongerSenseandRespond… 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
  • 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
  • 11. 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
  • 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
  • 14. © 2013 SAP AG. All rights reserved. 14 CustomerIntelligenceatthePointofDecision: APredictiveAnalyticsExample 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
  • 15. © 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
  • 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