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Mining SoftwareWhite Papers (View All Report Types)
 
The top five ways to get started with big data
sponsored by IBM
WHITE PAPER: Learn the 5 big data use cases that provide high-value starting points for your big data projects. Which technologies are designed to address these areas and how to reduce the time and cost of your projects and achieve ROI? Find out inside.
Posted: 09 Sep 2013 | Published: 30 Jun 2013

IBM

Manage your information: HP Information Management & Analytics in freight and logistics
sponsored by Hewlett-Packard Limited
WHITE PAPER: Access this resource today to learn how information management and analytics (IM&A) can enable logistics providers to gain insight into customer behaviors, improve operational efficiency and performance, achieve end-to-end visibility of supply chain logistics, and more.
Posted: 26 Sep 2013 | Published: 30 Apr 2013

Hewlett-Packard Limited

Big Data: Operationalizing the Buzz
sponsored by Actian Corporation
WHITE PAPER: This comprehensive report explores the findings of a survey of 259 business and technology stakeholders regarding big data trends and the technologies and tactics that are fueling big data success.
Posted: 07 Apr 2014 | Published: 30 Nov 2013

Actian Corporation

Dell Hadoop solutions for Big Data
sponsored by Dell, Inc. and Intel®
WHITE PAPER: This resource introduces an integrated, end-to-end Hadoop tool built to address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytics.
Posted: 22 Jan 2014 | Published: 31 Dec 2013

Dell, Inc. and Intel®

Outperforming in a data-rich, hyper-connected world
sponsored by IBM
WHITE PAPER: This paper outlines the results of a survey conducted amongst more than 1,100 executives across nine industries in 64 countries on their ability to capture data, share insights and take actions based on what they learn. Read this now to discover how other companies are harnessing and handling their data and learn how you can follow a similar path.
Posted: 09 Aug 2012 | Published: 08 Aug 2012

IBM

Visual Discovery Tools
sponsored by SearchBusinessAnalytics
WHITE PAPER: Visual discovery tools help enable business users to access and analyze data with minimal assistance from the IT department. Consult this white paper to learn more about who the target users of visual discovery tools are and how they help analyze data in a variety of systems.
Posted: 04 Mar 2013 | Published: 04 Mar 2013

SearchBusinessAnalytics

7 Accelerators for Putting Analytics to Work with Business Rules
sponsored by FICO
WHITE PAPER: While predictive analytics can improve business results, bringing that power to bear on transactional systems has historically been difficult. The use of a business rules management system to implement analytic models can generate more value. Learn seven best practices for using business rules to put analytics to work more effectively and rapidly.
Posted: 09 Mar 2010 | Published: 09 Mar 2010

FICO

The fast lane to insight: Accelerating analytics from the department to the enterprise
sponsored by IBM
WHITE PAPER: This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
Posted: 28 Oct 2013 | Published: 30 Apr 2013

IBM

Toad Business Intelligence Suite
sponsored by Dell, Inc. and Intel®
WHITE PAPER: Today's business intelligence platforms are expensive, labor-intensive to maintain, and have a low adoption rate with business users. This resource introduces an out-of-the-box BI tool that conquers these challenges – read on to learn how.
Posted: 22 Jan 2014 | Published: 31 Dec 2013

Dell, Inc. and Intel®

Answers on Demand: Bringing the Power of Advanced Analytics to Midsize Businesses [FROST & SULLIVAN]
sponsored by IBM
WHITE PAPER: This resource introduces an advanced analytics tool designed with the midsize business in mind – allowing you to affordably get the answers you need with the data you have. Read on to learn more.
Posted: 08 Oct 2013 | Published: 30 Apr 2013

IBM
 
 
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