Datamining White Papers

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Making business intelligence and analytics deliver on their promises
sponsored by IBM
WHITE PAPER: Access the following, extensive white paper to find out if your current BI and analytics solution is mismatched. Figure out what process may be affected as a result, and what you can do to make sure that your BI and analytics solution is right for you.
Posted: 13 Dec 2013 | Published: 13 Dec 2013

IBM

The costs, benefits, and risks of big data analytics
sponsored by IBM
WHITE PAPER: This valuable resource compares the costs, benefits, and risks of two different enterprise big data deployments, providing the insight you need to drive big data success.
Posted: 28 Oct 2013 | Published: 31 Aug 2013

IBM

EMC Isilon Scale-Out NAS for In-Place Hadoop Data Analytics
sponsored by EMC IT Solutions India Private Limited
WHITE PAPER: This white paper shows that storing data in EMC Isilon Scale-Out network attached storage optimizes data management for Hadoop analytics. Separating data from HDFS clients and storing it in an Isilon cluster provides scalability, efficiency, and workflow flexibility.
Posted: 31 Mar 2014 | Published: 30 Nov 2013

EMC IT Solutions India Private Limited

Harnessing the Value of Big Data Analytics
sponsored by Teradata
WHITE PAPER: Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
Posted: 29 Jan 2014 | Published: 29 Jan 2014

Teradata

Brochure: DB2 Analytics Accelerator for z/OS
sponsored by IBM
WHITE PAPER: Discover the new features and benefits of IBM DB2 Analytics Accelerator for z/OS version 4.1.
Posted: 24 Mar 2014 | Published: 31 Oct 2013

IBM

Three Approaches to Data Analysis with Hadoop
sponsored by Dell, Inc. and Intel®
WHITE PAPER: Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
Posted: 21 Feb 2014 | Published: 30 Nov 2013

Dell, Inc. and Intel®

Oracle Analytics for CRM, Sales, Marketing, and More
sponsored by Oracle Corporation
WHITE PAPER: In this resource, explore the offerings from Oracle when it comes to analytics and BI for CRM, sales, marketing, customer service, contact centers, and more. Discover the capabilities and benefits of these pre-built applications, and find out how implementing them in your organization can deliver real-time insights for better business decisions.
Posted: 23 Oct 2013 | Published: 31 Dec 2011

Oracle Corporation

Make informed decisions - mobile analytics visualization rapid deployment solution
sponsored by Hewlett Packard Enterprise
WHITE PAPER: In this resource, discover how a rapid deployment solution for a mobile analytics visualization application enables you to take full advantage of data charting and visualization in just two weeks. Learn how you can achieve sophisticated data analysis on your mobile device, which eliminates time-consuming requests to servers.
Posted: 27 Sep 2013 | Published: 31 May 2013

Hewlett Packard Enterprise

Convert big data into business value - HP Information Management and Analytics services
sponsored by Hewlett Packard Enterprise
WHITE PAPER: In this resource, discover how you can control the information avalanche with information management and analytics services. You'll learn how you can make better sense of your big data by managing, governing, and analyzing your data with a proven set of integrated solutions and services.
Posted: 27 Sep 2013 | Published: 28 Feb 2013

Hewlett Packard Enterprise

Big Data: Delivering an Agile Infrastructure for Time-Critical Analytics in Telecommunications
sponsored by IBM
WHITE PAPER: This resource examines how big data analytics is helping communications service providers (CSPs) to better understand customer behaviors, drive customer loyalty, and improve experiences. Inside, discover an enterprise-grade infrastructure designed for big data workloads.
Posted: 15 Nov 2013 | Published: 31 Oct 2013

IBM