© 2015 IBM Corporation2
Untapped Resource Empower Everyone Increased Value
The World of Big Data & AnalyticsIs Rapidly Expanding
© 2015 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 & AnalyticsIntegrated approach
Exploding Data Volumes
Diverse Data Types
Increasing Value of Information
Mobile & Social Engagement
© 2015 IBM Corporation5
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
© 2015 IBM Corporation6
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.
© 2015 IBM Corporation7
*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
© 2015 IBM Corporation8
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.
© 2015 IBM Corporation9
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
© 2015 IBM Corporation10
CAMS: the business imperative appears
CAMS technologies: rapidly emerging but lack of skills
Business Tech Trends – Pacesetters are strategically integratingCloud, 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
© 2015 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/Cloudmkt
© 2015 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
© 2015 IBM Corporation‹#›
Big Data & Analytics is a journey.
Be proactive about privacy, security and governance
Build a culture that infuses
analytics everywhere
Invest in a big data & analytics platform
Imagine It. Realize It. Trust It.
© 2015 IBM Corporation‹#›
the possibilities of analyzing all available data
Real-time Traffic Flow Optimization
Fraud & risk detection
Accurate and timely threat detection
Predict and act on intent to purchase
Understand and act on customer
sentiment
Low-latency network analysis
Imagine It.
© 2015 IBM Corporation‹#›
Key Business Imperatives
Create new business models
Optimize operations; counter fraud & threats
Attract, grow, retain customers
Transform financial &
management processes
Manage risk
Improve IT economics
Big Data & Analytics
Big Data & Analytics
Imagine It.
© 2015 IBM Corporation‹#›
• Acquisition "• Personalization "• Profitability "• Retention
Acquire, grow, retain customers
Optimize operations;
counter fraud & threats
Maximize insight, ensure trust, improve IT economics
Transform management
processes
Create new business models
• Business process operations "
• Infrastructure & asset efficiency "
• Counter fraud "• Public safety & defense
• Harness and analyze all data "
• Enable full spectrum of analytics "
• Govern & protect all data "
• Optimize Big Data & Analytics infrastructure
• Planning & performance management "
• Disclosure management & financial close "
• Incentive compensation management "
• Human capital management
• Data-driven products and services "
• Non-traditionalpartnerships "
• Mass experimentation
Manage risk
• Risk adjusted performance "
• Financial risk "• Operational risk "• Financial crimes "• IT risk & security
Insight Drives Key Business ImperativesImagine It.
© 2015 IBM Corporation‹#›
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
Imagine It.
© 2015 IBM Corporation‹#›
Big Data Exploration Find, visualize, understand all big data to improve decision making
Enhanced 360o View of the Customer Extend existing customer views (MDM, CRM, etc) by incorporating additional internal and external information sources
Operations Analysis Analyze a variety of machine data for improved business results
Data Warehouse Augmentation Integrate big data and data warehouse capabilities to increase operational efficiency
Security/Intelligence Extension Lower risk, detect fraud and monitor cyber security in real-time
The 5 Key Analytical Use Cases
© 2015 IBM Corporation19
IBM Big Data & Analytics Portfolio
Innovative – easy to consume
Complete – enterprise-ready
Fast – start anywhere and grow
© 2015 IBM Corporation20
IBM Watson Foundations
Systems, Security, StorageIBM 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
© 2015 IBM Corporation21
Realize It. 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 More Right, More Often
© 2015 IBM Corporation22
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.
© 2015 IBM Corporation23
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
© 2015 IBM Corporation24
4x IBM InfoSphere BigInsights delivers performance gain1
1.Audited STAC® Report Securities Technology Analysis Center
Of database queries for reporting2
InfoSphere BigInsights for Hadoop
Realize It. Optimize your Big Data & Analytics infrastructure.
Open Source Hadoop
38xAverage Acceleration
2. Based on internal tests.
DynamicQuery
CompatibleQuery
DynamicCubes
DB2 with BLU
Cognos BI
+"DB2 BLU
+Power
© 2014 IBM Corporation26
Power Systems with POWER8
Power Systems introduces the first generation of systems built with open innovation to put data to work across the enterprise.
Power S824L
IBM Data Engine for Analytics – Power Systems Edition NEW!
IFL
Power E880
NEW!
IFL
Power E870
NEW! NEW!
IBM Cloud Mgt w Open Stack v4.2E
EEE
E BLU Acceleration – Power System Edition
Value-Propositions for Partners ▪ Larger in-memory databases – up to 2TB (SCO) & up to 16TB (Enterprise) - support
big data demands and mission critical apps securely and with resilience ▪ Run analytics 8X faster w/ NVDIA’s GPU – helps clients quickly discover fresh
opportunities and enter new markets ▪ Achieve 24X infrastructure consolidation vs X86 -- saving your clients money ▪ Simplified cloud management and secure path to hybrid cloud protecting client
investment while reducing resource investment ▪ Develop, build & easily migrate apps on LoP from x86
▪ Easy access to extensive business partner support – i.e. a. IICs/Power Linux Centers make it simpler for software developers to
build and deploy new Linux on Power apps; b. Chiphopper offers no-cost validation of apps onto Linux on Power &
SW middleware; c. Power Development Cloud offers no-charge remote access to
Power Systems for all AIX, IBM i, Linux and Ubuntu to develop, port or migrate apps
NEW!CAPI-attached flash memory
IBM Confidential Until Day of Announcement
E IBM Solution for Analytics – Power System Edition
Designed for Big Data Big Data needs big memory
Open Innovation Platform Continuous innovations, open server ecosystem, collaborative community
Superior Cloud Economics Simplified hybrid Cloud Management
- NEW! Oct 6th launch E - means “enhanced or updated NEW!
© 2014 IBM Corporation27
IBM Opens POWER8 Processor Architecture for Innovation with OpenPOWER Foundation
POWER8 Provides More Reasons to Run Linux on Power
Foundation: Opening the IBM Power Chip Architecture to Market Innovators
▪ Innovate across a complete server stack based upon the IBM POWER architecture ▪ Produce open hardware, software, firmware and tools through “collaborative innovation” ▪ Innovate customized and highly advanced servers, subsystems, components ▪ Leverage complementary skills and investment from the member companies ▪ Become operational this year
OpenPOWER Foundation is an industry body comprised of passionate innovators who come together to pool their resource around a single purpose to:
• 55 Members and growing http://openpowerfoundation.org/ "
• Servergy becomes first company outside of IBM to build Power server http://www.networkworld.com/news/2014/032414-servergy-becomes-first-company-outside-280008.html
Platinum Members
© 2014 IBM Corporation‹#›
Paradigm shifts enabled by big dataLeverage more of the data being captured
TRADITIONAL APPROACH BIG DATA APPROACH
Analyze small subsets of information
Analyze all information
Analyzedinformation
All available information
All available informationanalyzed
© 2014 IBM Corporation‹#›
Paradigm shifts enabled by big dataReduce effort required to leverage data
TRADITIONAL APPROACH BIG DATA APPROACH
Carefully cleanse information before any analysis
Analyze information as is, cleanse as needed
Small amount of carefully
organized information
Large amount of
messy information
© 2014 IBM Corporation‹#›
Paradigm shifts enabled by big dataData leads the way—and sometimes correlations are good enough
TRADITIONAL APPROACH BIG DATA APPROACH
Start with hypothesis and test against selected data
Explore all data and identify correlations
Hypothesis Question
DataAnswer
Data Exploration
CorrelationInsight
© 2014 IBM Corporation‹#›
Paradigm shifts enabled by big dataLeverage data as it is captured
TRADITIONAL APPROACH BIG DATA APPROACH
Analyze data after it’s been processed and landed in a warehouse or mart
Analyze data in motion as it’s generated, in real-time
Repository InsightAnalysisData
Data
Insight
Analysis
© 2015 IBM Corporation‹#›
A New Analytical Approach
Information Integration & Governance
Systems SecurityOn premise, Cloud, As a service
Storage
New/Enhanced ApplicationsAll Data
What action should I take?
Decision management
Landing, Exploration and Archive data zone
EDW and data mart
zone
Operational data zone
Real-time Data Processing & Analytics What is happening? Discovery and
exploration
Why did it happen?
Reporting and analysis
What could happen? Predictive
analytics and modeling
Deep Analytics data
zone What did I learn,
what’s best? Cognitive
The 5 W’s
© 2015 IBM Corporation‹#›
"•Big data requires analytics to surface relevant data and make it actionable "•Business requires blend of analytics and data – not siloed by data store or limited by programmer availability "•Demands for fast performance require querying data where it resides and running processing closer to the data "•Analytics must demonstrate value quickly and grow to support the clients’ analytics journey
Analytics Have Evolve and Expand with Big Data
© 2015 IBM Corporation‹#› Degree of Complexity
Com
petit
ive
Adv
anta
ge
Standard Reporting
Ad hoc reporting
Query/drill down
Alerts
Simulation
Forecasting
Statistics
Optimization
What exactly is the problem?
What will happen next and WHY ?
What if these trends continue?
What could happen…. ?
What actions are needed?
How many, how often, where?
What happened?
Stochastic Optimization
Descriptive
Prescriptive
Predictive
How can we achieve the best outcome?
How can we achieve the best outcome including the effects of variability?
The Analytic Landscape
What did i learned, and what is the best? CognitiveStandard Reporting
© 2015 IBM Corporation‹#›
Combine data in motion and at rest "Optimized access to: BigInsights via Big SQL and SAP HANA
IBM Cognos Business Intelligence V10.2.2
IBM® Business Analytics
IBM Big Data Platform Other Big Data Sources Enterprise Data Sources
Stream Computing*
Hadoop Systems
Data Warehouse
Our business generates a lot of data, and the Cognos BI platform helps us understand all our "big data". As a result we have a complete view of what is happening in the business so that we can effectively communicate our transformation strategy . "Mark Lacks Manager, Strategy Analytics & Business Intelligence Mueller
Business Intelligence Get the Most Complete View of the Business
© 2015 IBM Corporation‹#›
Predictive AnalyticsGet more Accurate Models with bigger volume and variety of data
- Read Data from Hadoop "- Write back to Hadoop "- Export your Models to Streams
- Prepare your Data on Hadoop "- Few Models can run on Hadoop "- R analytic capabilities in SPSS """
© 2015 IBM Corporation‹#›
dr5ru7|2013-01-01 00:00:00|2013-01-01 00:15:00
Geohash Start timestamp End timestamp
Geospatial Data Mining Get more Accurate Models with bigger volume and variety of data
© 2015 IBM Corporation40
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
The ERA of cognitive Analytics
© 2015 IBM Corporation41
In Summary: Go Further and Faster with IBM
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Accelerated Discovery Lab Ecosystem
Analytics Solution Centers
Expertise
9KConsultants
30KEngagements
2,500
Academic Initiative
1,000Partnerships
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