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© 2014 IBM Corporation
Big Data & Analytics Day:
Big Data
© 2014 IBM Corporation2
Untapped Resource Empower Everyone Increased Value
The World of Big Data & Analytics
Is Rapidly Expanding
© 2014 IBM Corporation3
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
Big Data Is All Data
Volume Variety Velocity Veracity
© 2014 IBM Corporation4
Today’s IT challenges and market shifts introduce different data
economics
Traditional workloads New workloads
Systems of Engagement
 Require massive scale and rapid pace
 Accelerate business insights
 Rely on data elasticity, supporting
diverse hardware
Systems of Record
 Benefit from simplified infrastructure
 Require cost efficiency through
improved virtualization and
automation
 Drive controlled data growth
Transactional systems
Email, supply chain, HR
Virtual servers and desktops
Social and media
Mobile applications
Big Data & Analytics
Integrated approach
Exploding
Data Volumes
Diverse
Data Types
Increasing Value
of Information
Mobile & Social
Engagement
© 2014 IBM Corporation5
30%
Reduction in
heating bills
The Opportunities from Big Data &
Analytics Are Infinite
15 min
Response time
to requests 150%
Revenue
growth rate
95%Accuracy of 18+ month
sales forecasts
80%
Less time required
to open an account
98.5%
On-time delivery
target achieved
70%Counterparty
measurements
changed
80%Reduction in
serious accidents
© 2014 IBM Corporation6
Why Act Now?
Create IT AgilityManage RiskOutperform
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
© 2014 IBM Corporation7
CAMS: the business
imperative appears
CAMS technologies:
rapidly emerging but lack
of skills
Business Tech Trends – Pacesetters are strategically integrating
Cloud, Analytics, Mobile, and Social (CAMS)
Pacesetting companies:
partnering, insight-driven,
integrate CAMS
2012
2011
2014
Pacesetters
believe technologies are
critical to their business
success
AND
DRIVE REAL
BUSINESS OUTCOMES
1,447
Decisions makers
21%
C-level executives
40%
IT management
39%
Business managemen
© 2014 IBM Corporation8
Business Tech Trends: Pacesetters
Since the 2012 Tech Trends study, Big Data & Analytics deployment has
grown by 39%, with 40% now deploying a significant range of Big Data &
Analytics solutions capabilities. Just as crucially, Pacesetters report they are
better at achieving key business objectives with Big Data & Analytics.
© 2014 IBM Corporation9
*Notes: To obtain a global understanding of approaches to these transformational technologies, we surveyed
1447 IT and line of business (LOB) decision-makers — spanning 5 continents and 15 industries.
Leveraging skills
from the ecosystem
Pacesetters run their
enterprises on insight
CAMS integration for
greater effect
Business Tech Trends 2014 – Pacesetters: Three key characteristics
that set them apart
Partnering is in
their DNA
Analytics is their
fuel
Integration is their
breakaway move
© 2014 IBM Corporation10
as likely to have mature
analytics capabilities
as likely to have most of
skills they need
as likely have deployed a
significant range of solutions
Analytics is their fuel
Pacesetters run their enterprises on insight
Source: IBM Center for Applied Insights “Raising the game: The IBM Business Tech Trends Study” | www.ibm.com/ibmcai/biztechtrends
7 in 10
say data-driven
insights are a
significant part of
their organization’s
decision making
process
© 2014 IBM Corporation11
How pacesetters like you can leverage the IBM ecosystem
Use IBM Bluemix to
broaden your partnering
experience
Leverage IBM portfolio,
skills and data challenges
Maximize CAMS with IBM
integration support
Partnering is in their
DNA
Analytics is their
fuel
Integration is their
breakaway move
Enter the Mobile
Bluemix App Challenge
Sign up for Watson
Analytics beta
List your solutions on
the Cloud marketplace
https://ibm.biz/biztechjam http://watsonanalytics.
com/
https://ibm.biz/Cloud
mkt
© 2014 IBM Corporation12
About the Authors:
Entrepreneur Huddle Webcast:
https://ibm.biz/techhuddle
“Raising the game: The IBM Business Tech Trends Report”
https://ibm.biz/IBMBTT14
The IBM Tech Trends interactive Dashboard
http://bit.ly/tt14dashboard
The IBM 2014 Business Tech Trends links & contacts:
Susanne Hupfer, Ph.D. is a consultant
with the IBM Center for Applied
Insights, where she conducts fact-
based research for innovation leaders.
@cybersooz
© 2014 IBM Corporation13
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
© 2014 IBM Corporation14
IBM Big Data & Analytics Portfolio
Innovative – easy to consume
Complete – enterprise-ready
Fast – start anywhere and grow
© 2014 IBM Corporation15
IBM Watson Foundations
Systems, Security, Storage
IBM Big Data & Analytics Infrastructure
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Information Governance Zone
New/
Enhanced
Applications
Real-time
Analytics
Zone
Exploration,
Landing &
Archive Zone
Information
Ingestion &
Operational
Information
Zone
Enterprise
Warehouse,
Data Mart &
Analytic
Appliance
Zone
Realize It. Invest in a Big Data & Analytics platform.
All Data
Transaction and
application data
Social data
Image,
geospatial, video
Enterprise
content
Machine,
sensor data
Enterprise
content
Third-party data
© 2014 IBM Corporation16
RealizeIt.Invest in a Big Data & Analytics platform.
New/
Enhanced
Applications
Why did it happen?
Reporting, Analysis, Content Analytics
What did I learn, what’s best?
Cognitive
What is happening?
Exploration & Discovery
What action should I take?
Decision Management
What could happen?
Predictive Analytics & Modeling
Be
MoreRight, More
Often
© 2014 IBM Corporation17
RealizeIt.Invest in a Big Data & Analytics platform.
AllData
Harness
All Data
& All Paradigms
Information Governance Zone
Information
Ingestion &
Operational
Information
Zone
Real-time
Analytics
Zone
Exploration,
Landing &
Archive Zone
Enterprise
Warehouse,
Data Mart &
Analytic
Appliance
Zone
© 2014 IBM Corporation18
All Data
New/
Enhanced
Applications
IBM Big Data & Analytics Platform
Systems, Security, Storage
IBM Big Data & Analytics Infrastructure
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Information Governance Zone
Real-time
Analytics
Zone
Exploration,
Landing &
Archive Zone
Information
Ingestion &
Operational
Information
Zone
Enterprise
Warehouse,
Data Mart &
Analytic
Appliance
Zone
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Realize It. Invest in a Big Data & Analytics platform.
© 2014 IBM Corporation19
All Data
New/
Enhanced
Applications
IBM Big Data & Analytics Platform
Systems, Security, Storage
IBM Big Data & Analytics Infrastructure
Information Governance Zone
Real-time
Analytics
Zone
Exploration,
Landing &
Archive Zone
Information
Ingestion &
Operational
Information
Zone
Enterprise
Warehouse,
Data Mart &
Analytic
Appliance
Zone
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Realize It. Invest in a Big Data & Analytics platform.
© 2014 IBM Corporation20
All Data
New/
Enhanced
Applications
IBM Big Data & Analytics Platform
Systems, Security, Storage
IBM Big Data & Analytics Infrastructure
Information Governance Zone
Real-time
Analytics
Zone
Exploration,
Landing &
Archive Zone
Information
Ingestion &
Operational
Information
Zone
Enterprise
Warehouse,
Data Mart &
Analytic
Appliance
Zone
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Reporting, Analysis,
Content Analytics
Cognitive
Exploration
& Discovery
Decision
Management
Predictive Analytics
& Modeling
Realize It. Invest in a Big Data & Analytics platform.
© 2014 IBM Corporation21
Tools to address practical challenges managing Big Data
DB2 with BLU Acceleration
 In-memory computing
 35x to 73x faster analytics1, with some queries running more than
1400x faster
 instant insight from real-time operational data and historical data
 No need for indexes, aggregates, or tuning
 Ultimate operational simplicity with “load and go” performance
 Available for on-premises or via the cloud
IBM Puredata For Analytics
 Simple data appliance for serious analytics.
 It simplifies and optimizes performance of
data services for analytic applications,
enabling very complex algorithms to run in
minutes not hours.
 In-Database Geospatial Analytics compatible
with industry standard ESRI GIS formats.
© 2014 IBM Corporation22
Tools to address practical challenges managing Big Data
InfoSphere BigInsights for Hadoop
 For data at rest
 100% standard Hadoop
 IBM Big SQL, BigSheets
 Developer tools, Accelerators
 Ease of use for all roles
InfoSphere Streams
 For data in motion
 Agile development environment
 Sub-millisecond response
 Live graph, streams debugger
 Packaged adapters and toolkits
 Geospatial Toolkit
© 2014 IBM Corporation23
Solutions to address practical challenges Analyzing Big Data
Cognos BI
 Full breadth of BI for every decision-maker
 Query, reporting, analysis, scorecards and
dashboards
 Delivered where, when and how needed
 Answer “how am I doing”, “why”, and “what should I
be doing?”
 View of all time horizons: past, present & future
SPSS
• Comprehensive predictive analytics
platform
• Desktop to integration within operational
system deployment
• Providing a range of advanced analytics -
text analytics, entity analytics, social
network analysis, decision management
and optimization.
© 2014 IBM Corporation24
Powerful Analytics for Everyone
Watson Analytics
 Single Business Analytics Experience -
Watson Analytics is a seamless, unified
experience that brings together a set of self-
service enterprise data and analytics
capabilities on the cloud.
 Fully Automated Intelligence
 Natural Language Dialogue
 Guided Analytic Discovery
Visit WatsonAnalytics.com
and get started for free
© 2014 IBM Corporation25
Solutions to address Enterprise Content Management
Content Navigator
Dramatically improve the way people interact with and manage content
IBM Navigator on Cloud
Uniting knowledge workers through content in a flexible and trusted cloud environment.
Watson Content Analytics
Uncovers insights from unstructured data to shape business outcomes.
FileNet Content Manager
Provides full content lifecycle and extensive document
management capabilities for digital content.
Case Manager
Optimizes case outcomes with information, processes and people.
Content Foundation
Full content lifecycle and document management for expansive ECM capabilities.
Datacap Taskmaster Capture
Automates input of data from documents to reduce cost and accelerate document
process efficiencies.
Daeja
Universal viewer that opens and displays hundreds of image and document formats.
© 2014 IBM Corporation26
4x IBMInfoSphereBigInsights
delivers performance gain1
1.Audited STAC® Report Securities Technology Analysis Center
Of database queries
for reporting2
InfoSphere BigInsights for Hadoop
RealizeIt.Optimize your Big Data & Analytics infrastructure.
Open Source Hadoop
38x
Average
Acceleration
2. Based on internal tests.
Dynamic
Query
Compatible
Query
Dynamic
Cubes
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
DB2 with BLU
CognosBI
+
DB2BLU
+
Power
© 2014 IBM Corporation27
Big Data & Analytics on Bluemix https://ace.ng.bluemix.net/#/home
You can launch Big Data services and build applications in minutes
on Bluemix. Use only what you need.
© 2014 IBM Corporation28
In Summary: Go Further and Faster with IBM
Resources
Accelerated Discovery Lab Ecosystem
Analytics Solution Centers
Expertise
9K
Consultants
30K
Engagements
2,500
Academic Initiative
1,000
Partnerships
Business Partners
© 2014 IBM Corporation29
© 2014 IBM Corporation30
Legal Disclaimer
• © IBM Corporation 2013. All Rights Reserved.
• The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is
provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall
not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of,
creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software.
• References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this
presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way.
Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results.
• If the text contains performance statistics or references to benchmarks, insert the following language; otherwise delete:
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending
upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no
assurance can be given that an individual user will achieve results similar to those stated here.
• If the text includes any customer examples, please confirm we have prior written approval from such customer and insert the following language; otherwise delete:
All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance
characteristics may vary by customer.
• Please review text for proper trademark attribution of IBM products. At first use, each product name must be the full name and include appropriate trademark symbols (e.g., IBM Lotus® Sametime® Unyte™).
Subsequent references can drop “IBM” but should include the proper branding (e.g., Lotus Sametime Gateway, or WebSphere Application Server). Please refer to http://www.ibm.com/legal/copytrade.shtml for
guidance on which trademarks require the ® or ™ symbol. Do not use abbreviations for IBM product names in your presentation. All product names must be used as adjectives rather than nouns. Please list all
of the trademarks that you use in your presentation as follows; delete any not included in your presentation. IBM, the IBM logo, Lotus, Lotus Notes, Notes, Domino, Quickr, Sametime, WebSphere, UC2,
PartnerWorld and Lotusphere are trademarks of International Business Machines Corporation in the United States, other countries, or both. Unyte is a trademark of WebDialogs, Inc., in the United States, other
countries, or both.
• If you reference Adobe® in the text, please mark the first use and include the following; otherwise delete:
Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries.
• If you reference Java™ in the text, please mark the first use and include the following; otherwise delete:
Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both.
• If you reference Microsoft® and/or Windows® in the text, please mark the first use and include the following, as applicable; otherwise delete:
Microsoft and Windows are trademarks of Microsoft Corporation in the United States, other countries, or both.
• If you reference Intel® and/or any of the following Intel products in the text, please mark the first use and include those that you use as follows; otherwise delete:
Intel, Intel Centrino, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries.
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Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Other company, product, or service names may be trademarks or service marks of others.
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and insert the following; otherwise delete: All references to [insert fictitious company name] refer to a fictitious company and are used for illustration purposes only.

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Big Data & Analytics Day

  • 1. © 2014 IBM Corporation Big Data & Analytics Day: Big Data
  • 2. © 2014 IBM Corporation2 Untapped Resource Empower Everyone Increased Value The World of Big Data & Analytics Is Rapidly Expanding
  • 3. © 2014 IBM Corporation3 Data at Scale Data in Many Forms Data in Motion Data Uncertainty Big Data Is All Data Volume Variety Velocity Veracity
  • 4. © 2014 IBM Corporation4 Today’s IT challenges and market shifts introduce different data economics Traditional workloads New workloads Systems of Engagement  Require massive scale and rapid pace  Accelerate business insights  Rely on data elasticity, supporting diverse hardware Systems of Record  Benefit from simplified infrastructure  Require cost efficiency through improved virtualization and automation  Drive controlled data growth Transactional systems Email, supply chain, HR Virtual servers and desktops Social and media Mobile applications Big Data & Analytics Integrated approach Exploding Data Volumes Diverse Data Types Increasing Value of Information Mobile & Social Engagement
  • 5. © 2014 IBM Corporation5 30% Reduction in heating bills The Opportunities from Big Data & Analytics Are Infinite 15 min Response time to requests 150% Revenue growth rate 95%Accuracy of 18+ month sales forecasts 80% Less time required to open an account 98.5% On-time delivery target achieved 70%Counterparty measurements changed 80%Reduction in serious accidents
  • 6. © 2014 IBM Corporation6 Why Act Now? Create IT AgilityManage RiskOutperform 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
  • 7. © 2014 IBM Corporation7 CAMS: the business imperative appears CAMS technologies: rapidly emerging but lack of skills Business Tech Trends – Pacesetters are strategically integrating Cloud, Analytics, Mobile, and Social (CAMS) Pacesetting companies: partnering, insight-driven, integrate CAMS 2012 2011 2014 Pacesetters believe technologies are critical to their business success AND DRIVE REAL BUSINESS OUTCOMES 1,447 Decisions makers 21% C-level executives 40% IT management 39% Business managemen
  • 8. © 2014 IBM Corporation8 Business Tech Trends: Pacesetters Since the 2012 Tech Trends study, Big Data & Analytics deployment has grown by 39%, with 40% now deploying a significant range of Big Data & Analytics solutions capabilities. Just as crucially, Pacesetters report they are better at achieving key business objectives with Big Data & Analytics.
  • 9. © 2014 IBM Corporation9 *Notes: To obtain a global understanding of approaches to these transformational technologies, we surveyed 1447 IT and line of business (LOB) decision-makers — spanning 5 continents and 15 industries. Leveraging skills from the ecosystem Pacesetters run their enterprises on insight CAMS integration for greater effect Business Tech Trends 2014 – Pacesetters: Three key characteristics that set them apart Partnering is in their DNA Analytics is their fuel Integration is their breakaway move
  • 10. © 2014 IBM Corporation10 as likely to have mature analytics capabilities as likely to have most of skills they need as likely have deployed a significant range of solutions Analytics is their fuel Pacesetters run their enterprises on insight Source: IBM Center for Applied Insights “Raising the game: The IBM Business Tech Trends Study” | www.ibm.com/ibmcai/biztechtrends 7 in 10 say data-driven insights are a significant part of their organization’s decision making process
  • 11. © 2014 IBM Corporation11 How pacesetters like you can leverage the IBM ecosystem Use IBM Bluemix to broaden your partnering experience Leverage IBM portfolio, skills and data challenges Maximize CAMS with IBM integration support Partnering is in their DNA Analytics is their fuel Integration is their breakaway move Enter the Mobile Bluemix App Challenge Sign up for Watson Analytics beta List your solutions on the Cloud marketplace https://ibm.biz/biztechjam http://watsonanalytics. com/ https://ibm.biz/Cloud mkt
  • 12. © 2014 IBM Corporation12 About the Authors: Entrepreneur Huddle Webcast: https://ibm.biz/techhuddle “Raising the game: The IBM Business Tech Trends Report” https://ibm.biz/IBMBTT14 The IBM Tech Trends interactive Dashboard http://bit.ly/tt14dashboard The IBM 2014 Business Tech Trends links & contacts: Susanne Hupfer, Ph.D. is a consultant with the IBM Center for Applied Insights, where she conducts fact- based research for innovation leaders. @cybersooz
  • 13. © 2014 IBM Corporation13 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
  • 14. © 2014 IBM Corporation14 IBM Big Data & Analytics Portfolio Innovative – easy to consume Complete – enterprise-ready Fast – start anywhere and grow
  • 15. © 2014 IBM Corporation15 IBM Watson Foundations Systems, Security, Storage IBM Big Data & Analytics Infrastructure Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Information Governance Zone New/ Enhanced Applications Real-time Analytics Zone Exploration, Landing & Archive Zone Information Ingestion & Operational Information Zone Enterprise Warehouse, Data Mart & Analytic Appliance Zone Realize It. Invest in a Big Data & Analytics platform. All Data Transaction and application data Social data Image, geospatial, video Enterprise content Machine, sensor data Enterprise content Third-party data
  • 16. © 2014 IBM Corporation16 RealizeIt.Invest in a Big Data & Analytics platform. New/ Enhanced Applications Why did it happen? Reporting, Analysis, Content Analytics What did I learn, what’s best? Cognitive What is happening? Exploration & Discovery What action should I take? Decision Management What could happen? Predictive Analytics & Modeling Be MoreRight, More Often
  • 17. © 2014 IBM Corporation17 RealizeIt.Invest in a Big Data & Analytics platform. AllData Harness All Data & All Paradigms Information Governance Zone Information Ingestion & Operational Information Zone Real-time Analytics Zone Exploration, Landing & Archive Zone Enterprise Warehouse, Data Mart & Analytic Appliance Zone
  • 18. © 2014 IBM Corporation18 All Data New/ Enhanced Applications IBM Big Data & Analytics Platform Systems, Security, Storage IBM Big Data & Analytics Infrastructure Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Information Governance Zone Real-time Analytics Zone Exploration, Landing & Archive Zone Information Ingestion & Operational Information Zone Enterprise Warehouse, Data Mart & Analytic Appliance Zone Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Realize It. Invest in a Big Data & Analytics platform.
  • 19. © 2014 IBM Corporation19 All Data New/ Enhanced Applications IBM Big Data & Analytics Platform Systems, Security, Storage IBM Big Data & Analytics Infrastructure Information Governance Zone Real-time Analytics Zone Exploration, Landing & Archive Zone Information Ingestion & Operational Information Zone Enterprise Warehouse, Data Mart & Analytic Appliance Zone Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Realize It. Invest in a Big Data & Analytics platform.
  • 20. © 2014 IBM Corporation20 All Data New/ Enhanced Applications IBM Big Data & Analytics Platform Systems, Security, Storage IBM Big Data & Analytics Infrastructure Information Governance Zone Real-time Analytics Zone Exploration, Landing & Archive Zone Information Ingestion & Operational Information Zone Enterprise Warehouse, Data Mart & Analytic Appliance Zone Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Reporting, Analysis, Content Analytics Cognitive Exploration & Discovery Decision Management Predictive Analytics & Modeling Realize It. Invest in a Big Data & Analytics platform.
  • 21. © 2014 IBM Corporation21 Tools to address practical challenges managing Big Data DB2 with BLU Acceleration  In-memory computing  35x to 73x faster analytics1, with some queries running more than 1400x faster  instant insight from real-time operational data and historical data  No need for indexes, aggregates, or tuning  Ultimate operational simplicity with “load and go” performance  Available for on-premises or via the cloud IBM Puredata For Analytics  Simple data appliance for serious analytics.  It simplifies and optimizes performance of data services for analytic applications, enabling very complex algorithms to run in minutes not hours.  In-Database Geospatial Analytics compatible with industry standard ESRI GIS formats.
  • 22. © 2014 IBM Corporation22 Tools to address practical challenges managing Big Data InfoSphere BigInsights for Hadoop  For data at rest  100% standard Hadoop  IBM Big SQL, BigSheets  Developer tools, Accelerators  Ease of use for all roles InfoSphere Streams  For data in motion  Agile development environment  Sub-millisecond response  Live graph, streams debugger  Packaged adapters and toolkits  Geospatial Toolkit
  • 23. © 2014 IBM Corporation23 Solutions to address practical challenges Analyzing Big Data Cognos BI  Full breadth of BI for every decision-maker  Query, reporting, analysis, scorecards and dashboards  Delivered where, when and how needed  Answer “how am I doing”, “why”, and “what should I be doing?”  View of all time horizons: past, present & future SPSS • Comprehensive predictive analytics platform • Desktop to integration within operational system deployment • Providing a range of advanced analytics - text analytics, entity analytics, social network analysis, decision management and optimization.
  • 24. © 2014 IBM Corporation24 Powerful Analytics for Everyone Watson Analytics  Single Business Analytics Experience - Watson Analytics is a seamless, unified experience that brings together a set of self- service enterprise data and analytics capabilities on the cloud.  Fully Automated Intelligence  Natural Language Dialogue  Guided Analytic Discovery Visit WatsonAnalytics.com and get started for free
  • 25. © 2014 IBM Corporation25 Solutions to address Enterprise Content Management Content Navigator Dramatically improve the way people interact with and manage content IBM Navigator on Cloud Uniting knowledge workers through content in a flexible and trusted cloud environment. Watson Content Analytics Uncovers insights from unstructured data to shape business outcomes. FileNet Content Manager Provides full content lifecycle and extensive document management capabilities for digital content. Case Manager Optimizes case outcomes with information, processes and people. Content Foundation Full content lifecycle and document management for expansive ECM capabilities. Datacap Taskmaster Capture Automates input of data from documents to reduce cost and accelerate document process efficiencies. Daeja Universal viewer that opens and displays hundreds of image and document formats.
  • 26. © 2014 IBM Corporation26 4x IBMInfoSphereBigInsights delivers performance gain1 1.Audited STAC® Report Securities Technology Analysis Center Of database queries for reporting2 InfoSphere BigInsights for Hadoop RealizeIt.Optimize your Big Data & Analytics infrastructure. Open Source Hadoop 38x Average Acceleration 2. Based on internal tests. Dynamic Query Compatible Query Dynamic Cubes C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8 DB2 with BLU CognosBI + DB2BLU + Power
  • 27. © 2014 IBM Corporation27 Big Data & Analytics on Bluemix https://ace.ng.bluemix.net/#/home You can launch Big Data services and build applications in minutes on Bluemix. Use only what you need.
  • 28. © 2014 IBM Corporation28 In Summary: Go Further and Faster with IBM Resources Accelerated Discovery Lab Ecosystem Analytics Solution Centers Expertise 9K Consultants 30K Engagements 2,500 Academic Initiative 1,000 Partnerships Business Partners
  • 29. © 2014 IBM Corporation29
  • 30. © 2014 IBM Corporation30 Legal Disclaimer • © IBM Corporation 2013. All Rights Reserved. • The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. • References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. 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Notas del editor

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  4. With the emerging front-office transformation underway (mobile commerce, call center operations, etc.), big data and analytics is being used to deepen customer engagement and find entirely new sources of revenue by combining data from both inside and outside the enterprise. The transformation extends even further to the optimization of existing operations and infrastructure assets due to the aggressive instrumentation of infrastructure and systems using sensors in cities, transportation, healthcare and power grids, and technology areas such as IT operational analytics and security intelligence. Big Data & Analytics makes every decision every interaction and business process, no matter how big or small, provide insight on the next course of action. It does this by infusing, extending and integrating big data & analytics everywhere. Neither the systems of engagement nor systems of record work in isolation, they work together to deliver more value. Add to this mix the power of analytics using big data from inside and outside your organization--enterprise content, social media, enterprise data and machine data, you have the power to transform not only interactions but entire industries. The ability to connect your systems of record and new workloads, either on premise or in the cloud offers hybrid cloud choices to clients. Transition
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  7. Business Tech Trends is a commissioned study by IBM. Important to note – this is a double-blind study. Respondents don’t know they are responding to IBM, and IBM doesn’t know identities of respondents. Fourth study Includes 9 priority industries: Telco, Energy and Utilities, Media & Entertainment, Retail, Government, Healthcare, Financial Markets, Banking, Insurance Pacesetters believe that these technologies are critical to their business success and adopt them ahead of rivals. Pacesetters are more likely to exhibit three characteristics that help them get more out of these transformative technologies. They’re partnering broadly and creatively, driving business decisions with analytics, and combining the four technologies.
  8. With everyone jumping into the fray, how are pacesetters staying at the forefront? Pacesetters are more likely to exhibit three characteristics that help them get more out of these transformative technologies. They’re partnering broadly and creatively, driving business decisions with analytics, and combining the four technologies.
  9. Nearly 70% of leading companies say analytics are integral to how their organizations make decisions, compared to fewer than 20% of lagging organizations 89% of leading companies have mature big data and analytics capabilities – 2 times more than lagging companies. 74% of leading companies have most of the big data and analytics skills they need – 2 times more than lagging companies 57% of leading companies have deployed a significant range of big data and analytics solutions and capabilities – 4 times more than lagging companies 33% of leading companies have an enterprise-wide analytics strategy – nearly 7 times more than lagging companies 60% of leading companies – compared to just 29% of lagging organizations – are increasing big data and analytics investment by double digits over the next two years. More than 80% of leading companies plan to increase use of social and mobile analytics over the next two years
  10. Mobile Bluemix App Challenge Build applications using high-level data from the study Top apps will be featured on SocialBusinessSandy.com Watson Analtyics Beta prior to GA in Sept Looking for partners willing to be involved in beta Cloud marketplace ‘App Store’ for IBM cloud offerings and related services Partners developing on Bluemix can have their apps showcased on the Cloud marketplace
  11. Note the study was a collaboration between EcoD and CAI. Folks can engage with the authors directly on Twitter.
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