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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
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