OLAP Cube White Papers

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Why DBMSs Matter More than Ever in the Big Data Era
sponsored by IBM
WHITE PAPER: This whitepaper explains the importance of having a proper database management system in the age of Big Data. A good DBMS will prove accurate data to analytics and BI systems in real time.
Posted: 21 Mar 2014 | Published: 28 Feb 2014

IBM

Driving Strategic Planning with Predictive Modeling
sponsored by Oracle Corporation
WHITE PAPER: Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.
Posted: 18 May 2010 | Published: 18 Jul 2008

Oracle Corporation

Business Intelligence: The Definitive Guide for Midsize Organizations
sponsored by SAP America, Inc.
WHITE PAPER: Business intelligence (BI) allows organizations to better understand, analyze, and even predict what's occurring in their company.
Posted: 09 Jun 2008 | Published: 01 Jun 2008

SAP America, Inc.

5 Styles of Business Intelligence
sponsored by MicroStrategy
WHITE PAPER: This paper looks at the historical development of BI applications and BI technology, and concludes that five common Styles of BI have evolved during the past decade - each style representing a certain characteristic usage.
Posted: 09 Jun 2008 | Published: 01 Jan 2002

MicroStrategy

BI is in the Details: How Columnar Technology Leverages the Latent Value in SQL Databases
sponsored by Vertica Systems
WHITE PAPER: This paper will discuss how Vertica enhances the capabilities of analytical work through the implementation of different architecture for relational database-based analytical work. By simply rotating the orientation of the database from rows to columns, dramatic improvements in load and query speed, scalability and cost effectiveness are achieved.
Posted: 29 Aug 2011 | Published: 01 Sep 2009

Vertica Systems

Get Analytics Right from the Start
sponsored by Sybase, an SAP company
WHITE PAPER: Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.
Posted: 05 Aug 2010 | Published: 05 Aug 2010

Sybase, an SAP company

Take BI to the Next Level with In-Memory Technology
sponsored by SAP APJ
WHITE PAPER: SAP in-memory computing is putting the "r" back in "real-time" computing by bringing together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications at a lower total cost. Get an in-depth look at how this technology will impact business.
Posted: 21 Apr 2012 | Published: 31 Mar 2011

SAP APJ

Automated Business Intelligence: Delivering Real Business Value, Quickly, Easily, and Affordably
sponsored by Birst
WHITE PAPER: This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
Posted: 19 Jun 2009 | Published: 19 Jun 2009

Birst

Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation
WHITE PAPER: This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
Posted: 05 Aug 2011 | Published: 05 Aug 2011

Oracle Corporation

Comprehensive Data Warehousing & BI Solution with Oracle Database 11g
sponsored by Oracle Corporation
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: 15 Oct 2007 | Published: 01 Oct 2007

Oracle Corporation