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Sybase IQ , A Competitive Analysis
sponsored by Sybase, an SAP company
WHITE PAPER: This paper, intended for both IT and operational management, explores a series of high-level best practices for analytics and data warehousing based on Sybase’s experience with successful implementations. Suggestions are provided in three categories: performance, cost control, and ease-of-deployment with each dimension broken down into sub-topics.
Posted: 28 Oct 2010 | Published: 28 Oct 2010

Sybase, an SAP company

Selecting a Visual Analytics Application
sponsored by Tableau Software
WHITE PAPER: Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces. Its becoming the fastest way for people to explore and understand Business Intelligence data of any size. This paper will introduce you to the seven essential elements of true visual analytics applications.
Posted: 20 Apr 2009 | Published: 20 Apr 2009

Tableau Software

Getting Started With LucidWorks Enterprise
sponsored by Lucid Works
WHITE PAPER: This document provides a working knowledge of the LucidWorks Enterprise search development platform. Learn about installation, indexing content from local files, web sites, databases, searching, as well as improving the user experience using features such as user alerts, auto-complete and spell-check. Previous programming experience not required.
Posted: 18 Oct 2010 | Published: 18 Oct 2010

Lucid Works

Three Proven Methods to Achieve a Higher ROI from Data Mining
sponsored by IBM
WHITE PAPER: Discover the benefits to be gained by taking data mining to the next level, and learn several approaches that are delivering multiple results for other organizations.
Posted: 22 Feb 2011 | Published: 22 Feb 2011

IBM

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

XML: Changing the Data Warehouse whitepaper
sponsored by IBM
WHITE PAPER: Technical white paper covering the impact of XML on data warehousing and how to deliver new levels of business analysis and bring users closer to their data.
Posted: 17 Mar 2011 | Published: 17 Mar 2011

IBM

Transforming Spreadsheets: Planning, Budgeting and Forecasting for Midsize Companies
sponsored by IBM
WHITE PAPER: In “Transforming Spreadsheets: Planning, Budgeting and Forecasting for Midsize Companies” you’ll discover how to transform spreadsheet-only processes into an effective financial performance management solution with IBM Cognos Express. 
Posted: 17 Feb 2011 | Published: 17 Feb 2011

IBM

TDWI Checklist Report: Data Requirements for Advanced Analytics
sponsored by SAS
WHITE PAPER: This checklist lists and explains data requirements that are unique to advanced analytics. This report focuses on the data requirements of advanced analytics so organizations may become better equipped to populate a data warehouse or analytic database with data and data models that ensure the success of advanced analytic applications.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

How Pink OTC Markets Cuts Reporting Time and Operating Costs with a Market Data Warehouse Built on Vertica and Syncsort
sponsored by Vertica Systems
WHITE PAPER: Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place,  built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

Oracle Database 11g for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation UK Ltd
WHITE PAPER: This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
Posted: 22 Oct 2010 | Published: 23 Sep 2009

Oracle Corporation UK Ltd
 
 
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