Supported by

APJ Big Data and Cloud Summit 2014

Explore the Possibilities

Intel Big data/Cloud/IoT Adoption

Aziz Safa VP, GM Enterprise Applications & Strategy

August 20, 2014

Legal Notices

This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Intel, the Intel logo and Ultrabook are trademarks of Intel Corporation in the U.S. and/or other countries.

* Other names and brands may be claimed as the property of others.

Copyright © 2014, Intel Corporation. All rights reserved.

James Watt

“Power belongs to those that control

the means of production”

British Empire

Zuckerberg & Facebook

Larry Page Sergey Brin Google

Chen Hurley Karim Youtube

Robin Li Baidu

Omidyar eBay

Williams, Stone, Dorsey Twitter

Hoffman Linked-In

5

Innovative companies are changing the rules of the game

•Develop disruptive business models

•Create better products and services

•Enhance customer experience

•Drive sustained competitive advantage

All driven by the power of Big Data

Leverage Your Data – Make it Matter

What’s Driving Big Data?

40%

AVERAGE SERVER COST

2002 - 20122

90%

STORAGE COST / GB

2002 - 20122 Lower Cost of Compute & Storage

Volume & Type of Data

10X Data growth by 2016 90% unstructured 1

New Investments in Tools & Services

$17B

2012 20173

$7B

2010

$3B

1: IDC Digital Universe Study December 2012 2: Intel Forecast 3: IDC WW Big Data Forecast

Business challenge – Opportunities lost

% of the Digital Universe

that actually is being

tagged and analyzed

Competitive Advantage

in the Digital Universe in 2012 Massive amounts of useful data are getting lost

23% 3% % of data that would

be potentially useful IF

tagged and analyzed

% actually being

tagged for Big Data

Value (will grow to

33% by 2020)

0.5%

¹Source: IDC The Digital Universe in 2020, December 2012

Solution to address data getting lost: Big Data Unified Approach

One platform for structured, semi-structured, and unstructured to profit from 100% of data.

• Capture

• Store

• Manage

• Analyze

• Optimize

Universal log management

Structured warehouses

Unstructured

100% of Data Enable me to:

on

CRM, transactions, sales, marketing…

IT logs, security logs, social, tweets, JSOn’s

Audio, Video, emails, sentiments, threat …

Technology challenge Legacy techniques have all fallen short.

Stale technologies Talent shortage 86% of corporations cannot deliver

the right information, at the right

time to support enterprise

outcomes all of the time³

³Source: Coleman Parkes Survey Nov 2012 IT frustration Lack of insight

What addresses the “Legacy Shortfall”? Systems of Engagement (Internal and External) that deliver user-

centric services and external data into the enterprise

• Social drives agility

• Cloud enables ubiquitous access to resources and applications, and workload flexibility

• Analytics enables data-driven insights for faster, smarter decision making

• Mobile enables a 24x7 connected, engaged workforce

• Security enables privacy by design

SoE Enablers:

Any Data Source

ERP Business Suites

In Memory Real-Time Data Platform

CR

M

SC

M

SR

M

EC

C

BW EC

CW

Real-Time & Self Service Analytics Platform

MD

G

NW

Teradata Cloudera* Hadoop

Consolidated BI tools

Data Tiering Hot-Cold data

Enterprise Data Warehouse

Non-ERP C

usto

m

Inte

l

…

Predictive Analytics

BPC

BCS

Cloud BI

SaaS

Enterprise Framework

New Apps.

Downstream Applications

Cloud

Big Data Framework

IT’S NOT ABOUT THE DATA

Industries Redefining Themselves

Analytics Access to World Data

Big Data Analytics Value

= the “Asset” = the “Action”

Identify The Information, Synthesize It, Ask The Right Question Results in a Valuable Outcome

Systematically optimize business processes through analytics

Descriptive

Diagnostic

Predictive

Prescriptive

Sales transactions reports

Slice & Dice

Predict customer’s propensity to buy

Rank all customers according to their

potential sales volume

SMART customer engagement WHO to contact, WHAT to offer and WHEN?

Drive optimization of Online Sales Centers services

va

lue

difficulty

What happened?

Why did it happen?

What will happen?

How can we make it happen?

OUR JOURNEY: Analytics Driving Value

PHASE III • Self service real-time

analytics

• Data Visualization Tools

• Prescriptive Analytics (changing the course of actions)

PHASE II • Unstructured Data

Infrastructure

• Advanced Predictive Analytics

• Machine Learning

PHASE I • Data Management

Foundation

• BI Reporting

• Start small. Proof of concepts and pilots

Support Rapid and Informed Decision Making with Real Time Insights

Advanced Analytics and Big Data – the take away

What we believe

Advanced Analytics applied on big data can become a competitive

advantage for corporations

The evolution of Big Data in the enterprise requires companies to

build skills in focused areas and move fast to win

IT must play a central role in moving companies forward

Learn more about Intel IT’s initiatives at www.intel.com/IT

Sharing Intel IT Best Practices with the

World

Assessment Tools

CIO and IT Perspective IT White Papers, Audio-Video Blogs

IT-to-IT Community

Thank You