Multidimensional Online Analytical Processing White Papers

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Ziff Davis: Maximizing Performance and Minimizing Cost with Interactive Business Intelligence
sponsored by IBM
WHITE PAPER: View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
Posted: 10 Apr 2013 | Published: 10 Apr 2013

IBM

Accelerate SAP HANA Deployments and Improve ROI
sponsored by Nimble Storage
WHITE PAPER: This white paper can help you build and deploy the integrated storage infrastructure necessary for running SAP HANA at full capacity.
Posted: 03 Jun 2015 | Published: 30 Apr 2015

Nimble Storage

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

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

Real-Time Risk Monitoring
sponsored by Sybase, an SAP company
WHITE PAPER: Using a Visual Data Analytics Platform to Monitor and Manage Positions/Exposures in Real-Time Firms that engage in financial trading are exposed to counterparty risk (i.e., credit risk), market risk, and operational risk.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

Sybase, an SAP company

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

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

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

IBM Smart Analytics System Brochure
sponsored by IBM
WHITE PAPER: The IBM Smart Analytics System helps accelerate the delivery of insights for faster, smarter action; helps lower the cost of deriving more value from enterprise information; and features a modular architecture that enables organizations to easily add capacity and adapt to changing business needs. Check out this paper now to learn more.
Posted: 17 Mar 2011 | Published: 16 Mar 2011

IBM