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Smarter enterprises are gaining competitive advantage by using IBM Big Data & Analytics to make better decisions, to create and 
deliver value, and to transform their industry. They evolve their architecture to capitalize on all types of data, including real-time informa-tion; 
they expand their analytics to include predictive and new cognitive capabilities; and they are proactive about privacy, security and 
governance. They seize the opportunity to build on what they have and add new capabilities as their organization needs. They infuse 
analytics everywhere to drive better business outcomes. 
BIG DATA & ANALYTICS 
FOR A SMARTER ENTERPRISE 
Gain the insights you need to transform your business with speed and conviction 
All data New or enhanced applications 
Deep 
analytics 
data zone 
Systems Security Storage 
On premises, in the cloud, as a service 
What is happening? 
Discovery and 
exploration 
Why did it happen? 
Reporting and analysis 
What could happen? 
Predictive analytics 
and modeling 
What action 
should I take? 
Decision management 
What did I learn? 
What’s best? 
Cognitive 
Information integration and governance 
Operational 
data zone 
Real-time data processing and analytics 
Landing, 
exploration 
and archive 
data zone 
Enterprise 
data 
warehouse 
and data 
mart zone 
Customer 
experience 
New business 
models 
Financial 
performance 
Operations, 
threats and fraud 
Maximize insight, 
improve IT economics 
Transaction and 
application data 
Machine and 
sensor data 
Enterprise 
content 
Image, geospatial 
and video data 
Risk 
Social data 
Third-party data 
The new big data and analytics architecture 
BIG DATA & ANALYTICS INFRASTRUCTURE IBM WATSON FOUNDATIONS SOLUTIONS CONSULTING AND IMPLEMENTATION SERVICES 
IBM Watson™ Foundations capabilities can handle virtually all types of data—structured 
and unstructured, at rest and in motion—and support a wide variety of analytics, includ-ing 
discovery, reporting and analysis, as well as predictive and cognitive capabilities. 
It offers enterprise-class Apache Hadoop, workload-optimized systems, analytics on 
streaming data, text and content analytics, and many more capabilities so organizations 
can infuse analytics into every decision, every business process and every system of 
engagement. The platform offers the governance, privacy and security organizations 
need and is open, modular and integrated so organizations can start small and scale at 
their own pace. 
IBM provides an outcomes-driven portfolio of solutions across industries and market 
segments as well as IBM Research first-of-a-kind projects. Solutions include social 
media analytics, risk analytics, sales performance, organization and workforce 
transformation, predictive maintenance and quality, case management, and 
defensible disposal. 
IBM brings significant industry and domain experience to help you forge your big 
data and analytics strategy and road map. Our Strategy and Analytics practice 
provides integrated expertise in business strategy and advanced analytics. IBM 
Interactive Experience capabilities help you drive front-office transformation by 
using big data and analytics to create competitive advantage. 
For more information on the IBM Big Data & Analytics portfolio, visit ibm.com/bigdata&analytics Big Data & Analytics 
IBM provides an integrated, high-performance infrastructure including core server, 
storage, networking and systems software technology. You can accelerate the flow 
of data and insights, provide shared and highly secure access to all types of data 
where it resides, and significantly improve right-time availability. Choose a scale-in, 
scale-up or scale-out infrastructure to support the complexity and breadth of 
analytic workloads. 
IBM, the IBM logo, ibm.com, the planet icon, and Watson are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. © Copyright IBM Corporation 2014.
IBM provides an outcomes-driven portfolio of 
solutions across industries and market segments. 
Highlighted solutions include: 
– Customer engagement adviser 
– Predictive maintenance and quality 
– Next best action 
– Counter fraud 
– CFO performance insight 
– Risk analytics 
– Defensible disposal 
– Sales performance management 
– Disclosure management 
– Financial risk management 
Systems that learn and reason 
– IBM Watson for healthcare 
– IBM Watson for financial services 
– IBM Watson Engagement Advisor 
Industries such as: 
– Banking 
– Government 
– Telecommunications 
– Insurance 
– Healthcare 
– Retail 
IBM Watson Foundations capabilities are designed to handle all types of data, support all types of decisions and 
pursue every business opportunity. Infuse analytics virtually everywhere with governance, privacy and security. 
Start small, and scale at your pace. 
Decision management 
Automatically deliver high-volume, optimized decisions 
to systems and front-line workers using predictive 
modeling, business rules and optimization. Examples: 
IBM SPSS® Modeler Gold, IBM Operational Decision 
Manager 
Content analytics 
Find, organize, analyze and deliver insight from textual 
information found in documents, in email, on the web 
and more using sophisticated, natural language 
processes and categorization. Example: IBM 
Content Analytics 
Planning and forecasting 
Enable more-dynamic and efficient planning 
cycles, including target setting, forecast rollout, 
reporting, analysis and reforecasting. Example: 
IBM Cognos® TM1® 
Discovery and exploration 
Provide a context-relevant view of the business using 
federated discovery and navigation, visualization, and 
interaction over a broad range of internal and external 
data sources and types. Examples: IBM Watson 
Explorer, IBM Watson Analytics 
Business intelligence 
Deliver insight into the hands of those who need it 
with dashboards, reports, analysis and modeling 
on desktops, the web and mobile devices. Example: 
IBM Cognos Business Intelligence 
Predictive analytics 
Perform statistical analysis, data and text mining, and 
predictive modeling to surface patterns and trends from 
structured and unstructured data. Example: IBM SPSS 
Analytic Catalyst 
Data management 
Gain industry-leading database performance across 
multiple workloads while lowering administration, 
storage, development and server costs. Example: 
IBM DB2® with BLU Acceleration 
Data warehouse 
Gain extreme speed with capabilities optimized for 
analytics workloads such as deep analytics, and 
benefit from workload-optimized systems that can 
be up and running in less than four hours. Example: 
IBM PureData System for Analytics 
Content management 
Enable comprehensive content lifecycle and document 
management with cost-effective control of existing and 
new types of content with scale, security and stability. 
Example: IBM Content Manager 
Hadoop system 
Bring the power of Apache Hadoop to the enterprise 
with administrative, discovery, development, provi-sioning 
and security features as well as analytical 
capabilities from IBM Research. Examples: IBM 
InfoSphere® BigInsights™ for Hadoop, IBM PureData™ 
System for Hadoop 
Stream computing 
Analyze massive volumes of streaming data in near 
real time by deploying advanced analytics in a highly 
scalable runtime environment. Examples: IBM 
InfoSphere Streams, IBM InfoSphere Sensemaking 
Information integration and governance 
Build confidence in big data with the ability to 
integrate, understand, manage and govern data 
appropriately across its lifecycle. Examples: IBM 
InfoSphere Optim™, IBM InfoSphere Guardium®, 
IBM InfoSphere Master Data Management 
CONSULTING AND IMPLEMENTATION SERVICES 
SOLUTIONS 
Sales Marketing Finance Risk Operations Fraud IT HR 
IBM Watson and industry solutions 
WATSON FOUNDATIONS 
Benefit from an integrated, high-performance infrastructure 
including core server, storage, networking and systems 
software technology. Accelerate the flow of data and 
insights, provide shared and highly secure access to 
virtually all types of data where it resides, and significantly 
improve right-time availability. 
Scalability 
Choose a scale-in, scale-up or scale-out infrastructure to 
support the complexity and breadth of analytics workloads. 
Examples: IBM Power Systems™, IBM System z® and IBM 
System x® 
Parallel processing 
Enhance processing or data ingestion through workload and 
data layer parallelism that takes advantage of distributed 
analytics processing. Example: IBM General Parallel File 
System (GPFS™) 
Low latency 
Provide discrete speed enhancements to accelerate 
analytics workloads. Examples: IBM FlashSystem™ 
and IBM Platform Computing 
Data optimization 
Leverage storage solutions that provide optimal 
speed, scale, quality of service and reliability for 
data-intensive applications. Examples: IBM XIV® 
Storage System and IBM Real-time Compression™ 
Security 
Manage risk from cyber attacks across cloud 
and mobile environments, enabled by advanced 
analytics from security intelligence. Example: 
IBM Security QRadar® 
Cloud 
Choose from powerful private, public and hybrid 
cloud deployment models to support your 
business needs. Example: SoftLayer® 
For more information on the IBM Big Data & Analytics portfolio, visit ibm.com/bigdata&analytics Big Data & Analytics 
IBM, the IBM logo, ibm.com, the planet icon, and Watson are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. © Copyright IBM Corporation 2014. 
IBM brings significant industry and functional 
domain experience to help you forge your big 
data and analytics strategy and road map. Our 
newly formed Strategy and Analytics practice 
within the IBM Global Business Services® 
portfolio provides: 
– Thought leadership 
– Strategy and workforce transformation 
– Interactive experience 
– First-of-a-kind solutions 
– Delivery and managed services 
With more than 40,000 analytics engagements 
delivered, IBM’s Strategy and Analytics 
consultants have expertise and experience in 
areas such as: 
– Sales, marketing and service analytics 
– Finance, risk and fraud analytics 
– Operations and supply chain analytics 
– Technology strategy and managed services 
– Industry business use cases and value 
accelerators 
– Analytics centers of excellence 
Smarter enterprises are gaining competitive advantage by using IBM Big Data & Analytics to make better decisions, to create and 
deliver value, and to transform their industry. They evolve their architecture to capitalize on all types of data, including real-time infor-mation; 
they expand their analytics to include predictive and new cognitive capabilities; and they are proactive about privacy, security 
and governance. They seize the opportunity to build on what they have and add new capabilities as their organization needs. They 
infuse analytics everywhere to drive better business outcomes. 
BIG DATA & ANALYTICS 
FOR A SMARTER ENTERPRISE 
IBM Big Data & Analytics portfolio 
Data management 
and warehouse 
Hadoop 
system 
Stream 
computing 
Content 
management 
Decision 
management 
Content 
analytics 
Planning and 
forecasting 
Discovery and 
exploration 
Business intelligence and predictive analytics 
Information integration and governance 
BIG DATA & ANALYTICS INFRASTRUCTURE

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Ibm big dataandanalytics_28433_archposter_wht_mar_2014_v4

  • 1. Smarter enterprises are gaining competitive advantage by using IBM Big Data & Analytics to make better decisions, to create and deliver value, and to transform their industry. They evolve their architecture to capitalize on all types of data, including real-time informa-tion; they expand their analytics to include predictive and new cognitive capabilities; and they are proactive about privacy, security and governance. They seize the opportunity to build on what they have and add new capabilities as their organization needs. They infuse analytics everywhere to drive better business outcomes. BIG DATA & ANALYTICS FOR A SMARTER ENTERPRISE Gain the insights you need to transform your business with speed and conviction All data New or enhanced applications Deep analytics data zone Systems Security Storage On premises, in the cloud, as a service What is happening? Discovery and exploration Why did it happen? Reporting and analysis What could happen? Predictive analytics and modeling What action should I take? Decision management What did I learn? What’s best? Cognitive Information integration and governance Operational data zone Real-time data processing and analytics Landing, exploration and archive data zone Enterprise data warehouse and data mart zone Customer experience New business models Financial performance Operations, threats and fraud Maximize insight, improve IT economics Transaction and application data Machine and sensor data Enterprise content Image, geospatial and video data Risk Social data Third-party data The new big data and analytics architecture BIG DATA & ANALYTICS INFRASTRUCTURE IBM WATSON FOUNDATIONS SOLUTIONS CONSULTING AND IMPLEMENTATION SERVICES IBM Watson™ Foundations capabilities can handle virtually all types of data—structured and unstructured, at rest and in motion—and support a wide variety of analytics, includ-ing discovery, reporting and analysis, as well as predictive and cognitive capabilities. It offers enterprise-class Apache Hadoop, workload-optimized systems, analytics on streaming data, text and content analytics, and many more capabilities so organizations can infuse analytics into every decision, every business process and every system of engagement. The platform offers the governance, privacy and security organizations need and is open, modular and integrated so organizations can start small and scale at their own pace. IBM provides an outcomes-driven portfolio of solutions across industries and market segments as well as IBM Research first-of-a-kind projects. Solutions include social media analytics, risk analytics, sales performance, organization and workforce transformation, predictive maintenance and quality, case management, and defensible disposal. IBM brings significant industry and domain experience to help you forge your big data and analytics strategy and road map. Our Strategy and Analytics practice provides integrated expertise in business strategy and advanced analytics. IBM Interactive Experience capabilities help you drive front-office transformation by using big data and analytics to create competitive advantage. For more information on the IBM Big Data & Analytics portfolio, visit ibm.com/bigdata&analytics Big Data & Analytics IBM provides an integrated, high-performance infrastructure including core server, storage, networking and systems software technology. You can accelerate the flow of data and insights, provide shared and highly secure access to all types of data where it resides, and significantly improve right-time availability. Choose a scale-in, scale-up or scale-out infrastructure to support the complexity and breadth of analytic workloads. IBM, the IBM logo, ibm.com, the planet icon, and Watson are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. © Copyright IBM Corporation 2014.
  • 2. IBM provides an outcomes-driven portfolio of solutions across industries and market segments. Highlighted solutions include: – Customer engagement adviser – Predictive maintenance and quality – Next best action – Counter fraud – CFO performance insight – Risk analytics – Defensible disposal – Sales performance management – Disclosure management – Financial risk management Systems that learn and reason – IBM Watson for healthcare – IBM Watson for financial services – IBM Watson Engagement Advisor Industries such as: – Banking – Government – Telecommunications – Insurance – Healthcare – Retail IBM Watson Foundations capabilities are designed to handle all types of data, support all types of decisions and pursue every business opportunity. Infuse analytics virtually everywhere with governance, privacy and security. Start small, and scale at your pace. Decision management Automatically deliver high-volume, optimized decisions to systems and front-line workers using predictive modeling, business rules and optimization. Examples: IBM SPSS® Modeler Gold, IBM Operational Decision Manager Content analytics Find, organize, analyze and deliver insight from textual information found in documents, in email, on the web and more using sophisticated, natural language processes and categorization. Example: IBM Content Analytics Planning and forecasting Enable more-dynamic and efficient planning cycles, including target setting, forecast rollout, reporting, analysis and reforecasting. Example: IBM Cognos® TM1® Discovery and exploration Provide a context-relevant view of the business using federated discovery and navigation, visualization, and interaction over a broad range of internal and external data sources and types. Examples: IBM Watson Explorer, IBM Watson Analytics Business intelligence Deliver insight into the hands of those who need it with dashboards, reports, analysis and modeling on desktops, the web and mobile devices. Example: IBM Cognos Business Intelligence Predictive analytics Perform statistical analysis, data and text mining, and predictive modeling to surface patterns and trends from structured and unstructured data. Example: IBM SPSS Analytic Catalyst Data management Gain industry-leading database performance across multiple workloads while lowering administration, storage, development and server costs. Example: IBM DB2® with BLU Acceleration Data warehouse Gain extreme speed with capabilities optimized for analytics workloads such as deep analytics, and benefit from workload-optimized systems that can be up and running in less than four hours. Example: IBM PureData System for Analytics Content management Enable comprehensive content lifecycle and document management with cost-effective control of existing and new types of content with scale, security and stability. Example: IBM Content Manager Hadoop system Bring the power of Apache Hadoop to the enterprise with administrative, discovery, development, provi-sioning and security features as well as analytical capabilities from IBM Research. Examples: IBM InfoSphere® BigInsights™ for Hadoop, IBM PureData™ System for Hadoop Stream computing Analyze massive volumes of streaming data in near real time by deploying advanced analytics in a highly scalable runtime environment. Examples: IBM InfoSphere Streams, IBM InfoSphere Sensemaking Information integration and governance Build confidence in big data with the ability to integrate, understand, manage and govern data appropriately across its lifecycle. Examples: IBM InfoSphere Optim™, IBM InfoSphere Guardium®, IBM InfoSphere Master Data Management CONSULTING AND IMPLEMENTATION SERVICES SOLUTIONS Sales Marketing Finance Risk Operations Fraud IT HR IBM Watson and industry solutions WATSON FOUNDATIONS Benefit from an integrated, high-performance infrastructure including core server, storage, networking and systems software technology. Accelerate the flow of data and insights, provide shared and highly secure access to virtually all types of data where it resides, and significantly improve right-time availability. Scalability Choose a scale-in, scale-up or scale-out infrastructure to support the complexity and breadth of analytics workloads. Examples: IBM Power Systems™, IBM System z® and IBM System x® Parallel processing Enhance processing or data ingestion through workload and data layer parallelism that takes advantage of distributed analytics processing. Example: IBM General Parallel File System (GPFS™) Low latency Provide discrete speed enhancements to accelerate analytics workloads. Examples: IBM FlashSystem™ and IBM Platform Computing Data optimization Leverage storage solutions that provide optimal speed, scale, quality of service and reliability for data-intensive applications. Examples: IBM XIV® Storage System and IBM Real-time Compression™ Security Manage risk from cyber attacks across cloud and mobile environments, enabled by advanced analytics from security intelligence. Example: IBM Security QRadar® Cloud Choose from powerful private, public and hybrid cloud deployment models to support your business needs. Example: SoftLayer® For more information on the IBM Big Data & Analytics portfolio, visit ibm.com/bigdata&analytics Big Data & Analytics IBM, the IBM logo, ibm.com, the planet icon, and Watson are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml. © Copyright IBM Corporation 2014. IBM brings significant industry and functional domain experience to help you forge your big data and analytics strategy and road map. Our newly formed Strategy and Analytics practice within the IBM Global Business Services® portfolio provides: – Thought leadership – Strategy and workforce transformation – Interactive experience – First-of-a-kind solutions – Delivery and managed services With more than 40,000 analytics engagements delivered, IBM’s Strategy and Analytics consultants have expertise and experience in areas such as: – Sales, marketing and service analytics – Finance, risk and fraud analytics – Operations and supply chain analytics – Technology strategy and managed services – Industry business use cases and value accelerators – Analytics centers of excellence Smarter enterprises are gaining competitive advantage by using IBM Big Data & Analytics to make better decisions, to create and deliver value, and to transform their industry. They evolve their architecture to capitalize on all types of data, including real-time infor-mation; they expand their analytics to include predictive and new cognitive capabilities; and they are proactive about privacy, security and governance. They seize the opportunity to build on what they have and add new capabilities as their organization needs. They infuse analytics everywhere to drive better business outcomes. BIG DATA & ANALYTICS FOR A SMARTER ENTERPRISE IBM Big Data & Analytics portfolio Data management and warehouse Hadoop system Stream computing Content management Decision management Content analytics Planning and forecasting Discovery and exploration Business intelligence and predictive analytics Information integration and governance BIG DATA & ANALYTICS INFRASTRUCTURE