How can organizations tap into the vast flow of data, weed out the information that matters, and then link that meaningful sentiment to specific customers? This ebook explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.

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This paper presents a cost/benefit case for IBM DB2 11.1 for LUW and Oracle Database 12c.

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To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM combines the power of IBM InfoSphere Master Data Management with the IBM big data portfolio.

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A solid information integration and governance program should include automated discovery, profiling and understanding of diverse data sets. IBM InfoSphere is designed to do all of these things by evolving information integration and governance to meet the challenges presented by big data.

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Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.

Read the white paper and learn:

• Three important guidelines to follow when optimizing big data integration workloads
• Two primary components that comprise the Hadoop platform
• Five fundamental big data integration best practices

Help your organization minimize risks and costs and maximize ROI for your Hadoop projects.

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This IDC paper describes current and emerging states of business analytics solution deployments with a focus on IBM Db2 Warehouse on Cloud.

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See how organizations are adopting sophisticated analytics methods and are moving to hybrid data warehouse architectures.

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IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop.

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The next generation of IBM Db2 helps organizations get more value from their big data to improve their IT economics.

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IBM Db2 Hosted offers the same functionality as its on-premises equivalent, and is powered by the secure, high-performance IBM Cloud.

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This white paper presents seven essential elements for high-performance information integration and how they apply to business and technical decision makers responsible for designing, building, supporting and using scalable data processing systems.

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This paper gives key considerations when making a strategic commitment to a database platform.

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Predictive analytics can help drive significant improvement to an organization's bottom line.This eBook from Ventana Research explores the many ways businesses can use predictive analytics to grow revenue, shrink costs and improve margins.

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Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high.

Data science platforms are engines for creating machine-learning solutions. This report evaluates 16 providers of data science platforms.

Read this white paper to learn:

• How Apache Spark is broadening access to machine learning
• Various machine learning use cases and scenarios
• Why Apache Spark is the ideal platform for machine learning

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Introducing Notebooks: A power tool for data scientists Fast, flexible and collaborative data exploration and analysis Data exploration and analysis is a repetitive, iterative process, but in order to meet business demands, data scientists do not always have the luxury of long development cycles. What if data scientists could answer bigger and tougher questions faster? What if they could more easily and rapidly experiment, test hypotheses and work more collaboratively on interactive analytics?

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