© copyright 2012 emc corporation. all rights reserved. 1 · © copyright 2012 emc corporation. all...


BIG DATA TRANSFORMS BUSINESS Antti Mäkinen


Sources: “How Much Information?” Peter Lyman and Hal Varian, UC Berkeley,. 2011 IDC Digital Universe Study.

IN 2000 THE WORLD GENERATED

TWO EXABYTES OF NEW INFORMATION



2011 IN 2000 THE WORLD GENERATED

TWO EXABYTES OF NEW INFORMATION

EVERY DAY



ALL DATA IS BIG



DATA =

MONEY


What’s Driving The Data Deluge?

Oil Exploration Medical Imaging

Video Surveillance Mobile Sensors Video Rendering

Gene Sequencing Smart Grids

Social Media

FACEBOOK UPLOADS 250 MILLION PHOTOS EACH DAY

COST TO SEQUENCE ONE GENOME HAS FALLEN FROM $100M IN 2001 TO $10K IN 2011

READING SMART METERS EVERY 15 MINUTES

IS 3000X MORE DATA INTENSIVE

OIL RIGS GENERATE

25000 DATA POINTS PER SECOND


The Value Of Data Is Growing New Business Models Are Based On Data!

290,000,000 Updates / Day

250,000,000 New Photos / Day

1,000,000,000 Queries / Day

4,000,000 Claims / Day

2,800,000,000 Trades / Day

31,000,000,000 Interactions / Day



VELOCITY VARIETY VOLUME


How Companies Are Using Big Data

12

13

21

28

30

33

37

39

49

19

18

29

40

39

40

41

36

60%

Improvements to R&D processes

Automation of common or straightforward decisions

Pricing

New product strategies

Performance management & transparency in internal operations

Customer service/support

Operations, service delivery, or supply chain management

Budgeting, forecasting, or planning

Customer insights, segmentation, or targeting

Ideally

Currently Functional Areas Where Companies Do, And Should, Focus On Using Big data And Analytics To Improve Overall Performance

McKinsey Global Survey of 1,469 C-level executive respondents at a range of industries and company sizes, “Minding Your Digital Business,” 2012.


•  Batch oriented, with high latency •  Monolithic, with inflexible layers •  Brittle & labor intensive (metadata jailhouses) •  Mainly focused on structured data •  Performance and scalability challenged •  Information integration requires coding •  Information stored aggregated for specific reports

SOU

RC

E

File Manager CIFS / NFS

Xactional Data Mgr DB2, Oracle, SQL Svr

INTE

GR

ATE Master Data

Manager Oracle, SAP

ETL Informatica

STO

RE Content Manager

EMC Documentum Data Warehouse

Oracle, DB2, SQL Svr

AN

ALY

ZE

Analytic Modeling SAS, SPSS

BI + Reporting Crystal, BO


Business Agility?

Data

Correlation, Patterns

Causality, Predictors

Operationalize for Impact

More, Faster, Better


1 The Journey To Big Data

CLOUD


INFO SERVICE

BUS Dynamically Orchestrated Services Workflows Itineraries Messages Security

EMC IITS Architectur

e

+ ADDITIONAL INTEGRATION

PATTERNS

Pub-Sub Web Services REST ODBC, JDBC ETL, ETLT, LET

New Technology Ecosystem for Big Data

Low latency Agile & organic Federated Metadata driven Integrated Scalable Secure, multi-tenant Services based Intermediating Policy based Auditable

Analyze and Classify

Integrate and Transform

Source and Store

Application Fabric

Information Fabric

Data Plane

Ensure Quality, Resolve

Ontologies, Enforce

Contracts

Governance Processes



CLOUD SOCIAL

2


THE NEW TEAM DRIVING BIG DATA DATA SCIENCE


Legacy Analytics Process

1. Find The Data

2. Get Access To Data

4. Move To Sandbox

5. Analysis Finally!

6. Operationalize The Model

3. Learn About The Data


Self-Service And Collaborative Analytics



CLOUD AGILE

2 3

SOCIAL


Better, Faster Decisions Deliver The Latest Data

Enable Contextual Decisions

Complete Audit Trail Keep IT Audit Happy!

Reduce Information Risk

Easy To Build A Tool For Non-Programmers!

Drag & Drop Process Modeling

Agility


The Journey To Big Data

1

CLOUD AGILE

2 3

SOCIAL

TRANSITION TO A

PREDICTIVE ENTERPRISE


THANK YOU

© copyright 2012 emc corporation. all rights reserved. 1 · © copyright 2012 emc corporation. all...

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