Sponsor: IBM Corporation

This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in insurance. The white paper reviews common Big Data use cases including Telematics and Usage-Based Insurance, Claims Fraud Analytics, Next Best Action, Catastrophe Modeling and Producer Optimization.

This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.

While many IT professionals know that a good reference architecture can improve business performance, many still aren't sure how to pick the right one. And more importantly, a section of these IT pros -- especially those in SMBs -- still don't know how the right reference architecture can speed up their crucial business processes. The best reference architectures can help IT pros deal with the constant demands to implement new workloads, expand existing ones, and keep the current. This IT Managers' Journal is designed to help IT professionals better understand the role the right reference architecture can play in their businesses -- and how they can get the most out of it. The systems profiled in this journal make it easy to meet the demands of the business, propel growth, and help your business gain a competitive edge. Download this IT Manager's Journal to learn more.

This IBM® Redbooks® Solution Guide explains the business and technical value of emerging patterns of expertise in cloud computing, with specific applicability to IBM PureApplication™ System, IBM Workload Deployer, IBM SmartCloud® Orchestrator, and IBM SmartCloud Application Services. It explains how patterns help companies use the different cloud environments that IBM offers.

The IBM portfolio combines data warehousing, business analytics and information management software, hardware and solutions. Businesses can use IBM technologies to increase agility, boost performance, lower TCO, maximize value of data assets and make better decisions, faster.

Big data is probably the single most important trend in information usage for both business and IT in the past decade. It is changing the way companies make decisions, do business, succeed or fail. Using information and insights intelligently to anticipate and profit from change.

A highly scalable database platform, the IBM PureData System for Transactions has all the things you need to manage data: factory-integrated and optimized server, storage, network and software resources selected and tuned specifically for the demands of transactional processing.

IBM is unique in having developed an enterprise class big data platform that allows you to address the full spectrum of big data business challenges. The real benefit of the platform is leverage - the ability to start with one capability and easily adds on another. Read this whitepaper to learn about the platform, its core capabilities and how they will be beneficial to an organization.

Despite the increased focus on big data over the past few years, most organizations are still talking about what big data is rather than focusing on what problems big data can address. Through conducting surveys, studying analyst findings, talking with more than 300 customers and prospects and implementing hundreds of big data solutions, IBM has identified the top five high-value use cases that can be your first step into big data:

Big data exploration
Enhanced 360-degree view of the customer
Security/intelligence extension
Operations analysis
Data warehouse augmentation

Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities.

Informix ebook highlighting benefits of making decisions 'at the speed of business'; and discusses optimizing warehouse performance; and simplifying resources.

Adopting new strategic enterprise-wide IT initiatives usually brings with it concerns related to security and risk mitigation. Mobile application security has a unique set of requirements to address new challenges. Key components in the enterprise security infrastructure are designed to secure browsing activity. However, the integration of downloadable applications into the enterprise back end requires more development effort. Mobile applications may be run on devices compromised by malware. The threat of malware necessitates the need for an application to protect its data and to also recognize when the data or the application itself might have been compromised. External attacks by hackers and malware are just a couple of examples but they highlight the special focus on the demands of mobile application security.

Opportunities for growth and innovation hinge on your ability to quickly access and analyze business critical information. This e-book highlights how you can maximize performance in your SAP environment, including the 3 must haves:

Analytic accelerators to deliver faster insights
Rapid ROI and lower TCO
Simplicity

Philip Howard of Bloor Research compares performance capabilities of the leading business intelligence platforms. Companies studied in this comparison are IBM® (Cognos, DB2 with BLU Acceleration), SAP (BusinessObjects, HANA), Oracle (Business Intelligence, Exadata) and Microsoft (Business Intelligence, SQL Server). His conclusion: "DB2® with BLU Acceleration should not only provide better performance in the first place, but also provide consistent performance, with a corresponding requirement for less hardware and less cost."

Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.