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DataminingWhite Papers (View All Report Types)
 
SwissRe_Customer Case Study
sponsored by IBM
WHITE PAPER: Access the following case study to gain a firsthand look at how Swiss Re utilized an analytics accelerator to increase reporting and analysis by 70%. Discover key benefits of analytical acceleration as well as what you can do to acquire these benefits as well.
Posted: 30 Dec 2013 | Published: 30 Dec 2013

IBM

Unified Data Architecture
sponsored by Teradata
WHITE PAPER: Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
Posted: 31 Jan 2014 | Published: 31 Jan 2014

Teradata

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

Oracle Fast Data: Real-Time Strategies for Big Data and Business Analytics
sponsored by Oracle Corporation
WHITE PAPER: Access this in-depth resource to gain an understanding of fast data technologies and why they are the next chapter of the big data saga. And learn of some tools from Oracle that offer you the ability to make informed decisions fast.
Posted: 28 Oct 2013 | Published: 30 Sep 2013

Oracle Corporation

Enterprise Data Management in an 'In-Memory' World
sponsored by SAS
WHITE PAPER: The following white paper explores the tactics, best practices, and architecture needed to make sure that your in-memory solution is running as smooth and efficiently as possible.
Posted: 23 Apr 2014 | Published: 23 Apr 2014

SAS

Big Data in Big Companies
sponsored by SAS
WHITE PAPER: Explore the following white paper to join analytics pioneer, Tom Davenport, as he reveals the findings of how big data fits into the data and analytics infrastructure of 20 large organizations. Find out how these companies are handling big data, the tools and skill sets used to maximize ROI, and what the future holds with analytics 3.0.
Posted: 21 Apr 2014 | Published: 21 Apr 2014

SAS

The Total Economic Impact of Oracle Business Intelligence Applications
sponsored by Oracle Corporation
WHITE PAPER: This Total Economic Impact report from Forrester Consulting offers an in-depth look at the capabilities, benefits, and potential financial impact of Oracle business intelligence (BI) applications.
Posted: 23 Oct 2013 | Published: 31 Oct 2012

Oracle Corporation

Convert big data into business value - HP Information Management and Analytics services
sponsored by Hewlett-Packard Company
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 Company

Competitive Differentiation Through Innovation In Business Intelligence
sponsored by SAP America, Inc.
WHITE PAPER: Did you know that enterprises typically only use 10% of their data for analytics and decision-making? Is your business letting so much of its data go unused? To get the most value out of corporate data assets, forward-thinking organizations are looking for the right tools -- namely business intelligence (BI) and analytics applications.
Posted: 31 Jan 2014 | Published: 31 May 2013

SAP America, Inc.

Jump-starting Collaboration with Social Search
sponsored by IBM
WHITE PAPER: In this resource, learn how social search tools can help you access and utilize vast amounts of human knowledge, enabling your organization to increase collaboration and accelerate innovation.
Posted: 09 Dec 2013 | Published: 31 Jan 2013

IBM
 
 
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