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© 2013 IBM Corporation
Data Explosion –
Big Data Analytics in the new Cognitive Era
Les King
Director, Database, Analytics, Big Data Solutions
May, 2014
2 © 2013 IBM Corporation
2
The Future of Analytics - Cognitive
Tabulating Systems Era
1900 2011
Programmable Systems Era
1950
3 © 2013 IBM Corporation
2 years ago, Watson’s advanced analytic capabilities could sort through the
equivalent of 200 million pages of data to uncover an answer in 3 SECONDS and
would fill up this entire room.
Today…Watson is now 24x faster and has gone from the size of a
master bedroom to three stacked pizza boxes.
4 © 2013 IBM Corporation
Real time analytics is not only about reducing the latency between what flows
through your transaction systems and when it lands in your data warehouse so
you can perform analytics …. It is about real time activities performed by people
( your customers – and – potential customers ) through non-traditional sources (
facebook, tweets ) and being able to react to that immediately to capture an
opportunity.
5 © 2013 IBM Corporation
We are here
Sensors
and Devices
Social
Media
VoIP
Enterprise
Data
2013
In just two days we now generate as much data as
was generated in total through 2003
4/5th of all data is unstructured and growing
15 times the rate of structured data
Over 1 billion tweets are sent every 3 days
2015
Percentage of
uncertain data
… and are fueling an explosion of data—a new economic asset that
has become the basis of significant opportunity
6 © 2013 IBM Corporation
Today’s organizations are facing many disruptive forces
The ability to exploit big data
Creating the need for
organizations to
understand and anticipate
customer behavior and
needs based on customer
insights across all
channels
Creating new
opportunities to capture
meaningful information
from new varieties of
data and content coming
at organizations in huge
volumes and at
accelerated velocity
Creating the need for all
parts of the organization
to optimize all of their
processes to create new
opportunities, to mitigate
risk, and to increase
efficiency
3 The shift of power to the consumer 1 Accelerating
pressure to do more with less
2
7 © 2013 IBM Corporation
Data AVAILABLE to an
organization
Data an organization
can PROCESS
The Big Data Conundrum
The percentage of available data an enterprise can analyze is decreasing
proportionately to the available to that enterprise
Quite simply, this means as enterprises, we are getting
“more naive” about our business over time
8 © 2013 IBM Corporation
Transactional & Application Data
Sensor Data
Social Data
Enterprise Content
• Volume
• Structured
• Throughput
• Variety
• Unstructured
• Volume
• Variety
• Unstructured
• Veracity
• Velocity
• Structured
• Ingestion
Big Data is all data and all paradigms for extracting value
9 © 2013 IBM Corporation
Why Act Now?
Create IT Agility Manage Risk Outperform
Only 1 in 5 organizations allocate more than 50% of IT budget to new projects
Of leaders cite growth as the key source of value
from analytics
Source:
1 - IBM IBV Study: Analytics: A blueprint for value, October 2013
2 - IBM Global Study on the Economic Impact of IT Risk, 2013
3 - IBM Global Data Center Study, 2012
Of respondents were impacted by a cyber security breach over the past 24 months
46% 75% 1in5
10 © 2013 IBM Corporation
Pervasive
connectivity
Big data
Social
Analytics
Mobile Cloud
Digital transformation forces
67% of global consumers
want to use mobile devices to complete retail transactions
The emergence of big data and analytics, social, mobile and cloud
are fundamentally changing how we live, work and interact …
2.5 billion gigabytes of data
generated every day
1/3 of consumer data
will be stored in the cloud by 2016
1.3 billion global mobile workers
by 2015, representing nearly 35% of the worldwide workforce*
* XXX
11 © 2013 IBM Corporation
61% of consumers use digital
channels as part of their
purchasing journey
67% of information in most
companies has no
business, legal or regulatory
value
2/3 U.S. adults will not return to a business
that lost their personal
information
Explosion of new forms of data causing significant challenge of dealing with
data from non-traditional sources
Realities of today’s economy
Rising customer
expectations
Need to manage
costs and ensure
integrity
Competition
for customers
12 © 2013 IBM Corporation
Big Car Makers in Race to Recall More aggressive regulators, potential for court action pressure industry to act
Putting Student Data to the Test to Identify Struggling Kids | WLRN
Importance of content has never been higher
New Rule Protects Privacy, Secures Health Information
13 © 2013 IBM Corporation
80% 150%
95% 98.5%
The Opportunities from Big Data & Analytics Are Infinite
Reduction in
serious accidents
Revenue
growth rate
Accuracy monthly sales forecasts
On-time delivery target achieved
14 © 2013 IBM Corporation
Does the Era of Big Data Signify the End of the Data
Warehouse? NO!
“Instead they [organizations] are moving towards multiple systems, including
content management, data warehouses, data marts and specialized file
systems tied together with data services and metadata, which will become the
"logical" enterprise data warehouse.”
Andrew Foo, Senior IT Architect Smarter Planet Solutions Team -
“Big data brings new life to the data warehouse by enriching it and introducing
new insights taken from non-traditional sources, as well as unexplored data
sources. The integration of big data and traditional data warehousing can
produce results that are the best of both worlds.”
Top 10 Strategic Technology Trends for 2013
15 © 2013 IBM Corporation
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Big Data & Analytics – How to get started
Helps organizations Imagine it, unleashing creativity to address business
challenges now and in the future
Allows enterprises to Trust it, managing risk, securing data and ensuring
privacy while protecting the organization’s reputation
Lets customers Realize it by architecting solutions that encompass all data and
analytics scenarios
1
2
3
16 © 2013 IBM Corporation
Imagine It. Every Industry can Leverage Big Data and Analytics
Insurance
• 360˚ View of Domain
or Subject
• Catastrophe Modeling
• Fraud & Abuse
Banking
• Optimizing Offers and
Cross-sell
• Customer Service and
Call Center Efficiency
Telco
• Pro-active Call Center
• Network Analytics
• Location Based
Services
Energy & Utilities
• Smart Meter Analytics
• Distribution Load
Forecasting/Scheduling
• Condition Based
Maintenance
Media & Entertainment
• Business process
transformation
• Audience & Marketing
Optimization
Retail
• Actionable Customer
Insight
• Merchandise
Optimization
• Dynamic Pricing
Travel & Transport
• Customer Analytics &
Loyalty Marketing
• Predictive Maintenance
Analytics
Consumer Products
• Shelf Availability
• Promotional Spend
Optimization
• Merchandising
Compliance
Government
• Civilian Services
• Defense & Intelligence
• Tax & Treasury Services
Healthcare
• Measure & Act on
Population Health
Outcomes
• Engage Consumers in
their Healthcare
Automotive
• Advanced Condition
Monitoring
• Data Warehouse
Optimization
Life Sciences
• Increase visibility into
drug safety and
effectiveness
Chemical & Petroleum
• Operational Surveillance,
Analysis & Optimization
• Data Warehouse
Consolidation, Integration
& Augmentation
Aerospace & Defense
• Uniform Information
Access Platform
• Data Warehouse
Optimization
Electronics
• Customer/ Channel
Analytics
• Advanced Condition
Monitoring
17 © 2013 IBM Corporation
Information Integration & Governance
Exploration, landing and
archive
Trusted data
Reporting & interactive analysis
Deep analytics & modeling
Data types Real-time processing & analytics
Transaction and application data
Machine and sensor data
Enterprise content
Social data
Image and video
Third-party data
Operational systems
Actionable insight
Decision
management
Predictive analytics and modeling
Reporting, analysis, content
analytics
Discovery and exploration
Realize It. Invest in a Big Data & Analytics platform
18 © 2013 IBM Corporation
Trust It. Be proactive about privacy, security and governance.
Create foundation of trusted data
Understand usage and monitor compliance
Model exposure and understand
variability
Trust the facts Ensure privacy
and security Make risk
aware decisions
© 2013 IBM Corporation
Thank You
Les King
Director, Database, Analytics, Big Data Solutions
May, 2014