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Maher SalamehSales Manager- 7 th May 2015 Is there a New Age of Analytics in the World of Big Data?

Dr. Maher salameh - new age of data analytics

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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

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 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

Thank youContact 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