Download - Big Data and Analytics: The IBM Perspective

© 2014 IBM Corporation

Big Data at…Big Blue…

Presented by Gareth Mitchell-Jones, 19th May 2014

@garethmj74

© 2014 IBM Corporation2

Big Data at…Big Blue…

The 5 V’s…

The view at Big Blue…

The market…

The clients…

Some real examples…


Big Data: Volume - Really?

0

200,000,000,000,000,000,000,000,000,000

400,000,000,000,000,000,000,000,000,000

600,000,000,000,000,000,000,000,000,000

800,000,000,000,000,000,000,000,000,000

1,000,000,000,000,000,000,000,000,000,000

Normal Data Big Data

Grey Area

Number of Bytes


Big Data: Variety - Really?

Images / Photographs

Videos / CCTVText /

Documents

Voice Recordings / Tape / Digital

Transcriptions

Geographical / Topological

Sensors / Networks

Mobile / Tablet Exhaustpipe

Vehicle / Device Telematics

Weather / Climate

Information

CCTV / Videos

Geographical / Topological

Vehicle Device

Telematics


Big Data: Velocity - Really?

Source: datasciencecentral


Big Data: Veracity - Really?


What is IBM’s position in

the marketplace?


At a logical level nothing much has changed in 20 years…(or more)...

…but atomically a transformation has, and is taking place…


A simplified view of the Big Data and Analytics stack created in 2011

remains broadly relevant to most of the marketplace…

The Big Data Stack

Data growth curve:

Megabytes -> Gigabytes ->

Terabytes -> Petabytes -> Exabytes -

> Zettabytes -> Yottabytes ->

Brontobytes -> Geopbytes

Analytical Infrastructure curve:

Databases -> Datamarts ->

Operational Data Stores (ODS) ->

Enterprise Data Warehouses -> Data

Appliances -> In-Memory Appliances

-> NoSQL Databases -> Hadoop

Clusters > MPP Databases > Triple

Stores > Quad Stores > Graphs

Source: http://practicalanalytics.wordpress.com/2011/05/15/new-tools-for-new-times-a-primer-on-big-data/


Untapped Resource Empower Everyone Increased Value

The World of Big Data (& Analytics)

is Rapidly Expanding

Data is the world’s

newest resourceDecision-making

extends from few to many

New approaches are

required as data value

grows


1900 1950 2011

We have entered a new era of computing . . .

. . .enabling new opportunities and outcomes


IBM Watson

Advisors

IBM Watson

Solutions

IBM Watson

Foundations

IBM Watson

Cognitive Fabric

Provides the big data and

analytics capabilities that fuel

Watson

Products based on

Watson’s core

attributes and

capabilities

APIs, tools, methodologies, SDKs,

and infrastructure that fuels

Watson

Bespoke solutions designed to meet

some of industries most demanding

needs leveraging cognitive capabilities

IBM Watson

EcosystemsThe Watson Developer Cloud,

Watson Content Store and

Watson Talent Hub driving

innovation from partners

The Watson family

IBM

Watson

family

Commercial in Confidence


Systems Security

On premise, Cloud, As a service

Storage

IBM Watson Foundations

Big Data & Analytics Infrastructure

New/Enhanced

ApplicationsAll Data

Real-time analytics zone

Enterprise warehouse data mart and analytic appliances zone

Information governance zone

Exploration, landing and archive zone

Information ingestion and operational informationzone

What could happen?

Predictive analyticsand modeling

What action should I take?

Decisionmanagement

What is happening?

Discovery andexploration

Why did it happen?

Reporting, analysis,content analytics

CognitiveFabric

A new foundation for leveraging all analytics and harnessing all data



Provides

the tools

for

analysts

and

business

users to

share and

exploit

insights

So what do you get from a zoned insight architecture…

Leverages what is in

place already

Enables the

digital

opportunity

Enables the

mining

opportunity

Automates repetitive tasks and establishes a

control environment to execute against

integration and governance decisions

Focuses and

directs

resources

towards

business

priorities,

establishes

process

controls and

arbitrate on

difficult

business

decisions

Promotes

innovation through

findings


• Acquisition

• Personalisation

• Profitability

• Retention

• Service

Maximise

Insight, Ensure

Trust, Improve

IT economics

Transform

management

processes

• Global

Operations

• Infrastructure &

Asset Efficiency

• Counter Fraud

• Public Safety &

Defense

• Harness &

Analyse all Data

• Spectrum of

Analytics

• Govern &

Protect All Data

• Optimise Big

Data &

Analytics

Infrastructure

• Planning &

Performance

Management

• Disclosure

Management &

Financial Close

• Incentive

Compensation

Management

• Human Capital

Management

• Analytics as a

Service Platform

• Data-driven

Products

and Services

• Non-traditional

Partnerships

• Mass

Experimentation

Optimise

operations;

counter fraud &

threats

Acquire, grow,

retain

customers

Create new

business

models

Manage

Risk

• Risk Adjusted

Performance

• Financial Risk

• Operational

Risk

• Financial

Crimes

• IT Risk &

Security

!

Imagine It.

…infuse analytics into appropriate key business processes…



Disappointment

is only ever a

few words

away…

SOURCE: http://www.humptybumptykids.com/wp-content/uploads/2013/03/kid1.jpg


…which is why clients continue to need help to build their refineries…


…an awful lot, but not always from large vendors or consultancies…


Audience Insights: Precision Advertising


Download - Big Data and Analytics: The IBM Perspective

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