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Plex Case Study - Ralco Industries by Plex Systems
July 08, 2010 - (Free Research) View this brief video to learn how original equipment manufacturer (OEM) supplier Ralco Industries was able to reduce on-hand inventory by 15% and freight costs by over 20%, improve product quality and customer service, and create process consistency with an implementation of easy-to-use, online enterprise resource planning (ERP) software.
Offloading Analytic Workloads for Improved Performance by ParAccel
May 09, 2012 - (Free Research) This informative paper describes a way to offload your complex workloads to a platform designed for delivering unconstrained analytics in order to improve data processing and stay on top of your business operations.
CW+: Mobile payments market opportunities for business by ComputerWeekly.com
December 20, 2010 - (Free Research) The definition of a mobile payment is often open to interpretation and can differ from source to source. Juniper Research has a simple definition of a mobile payment as “payment for goods or services with a mobile device such as a phone, Personal Digital Assistant (PDA), or other such device.”
The Global State of the PMO 2012 by ComputerWeekly.com
May 17, 2012 - (Free Research) This 2012 benchmarking survey from ESI assesses the role of the Project/Programme Management Office (PMO), its development to full-blown maturity and value to the business.
ParAccel Analytic Platform: Analytic Offload by ParAccel
May 09, 2012 - (Free Research) This informative white paper discusses a platform that offloads your analytics workloads to keep your BI performance at its highest potential, analytic reports produced when you need them as well as enhanced analysis and modeling.
The Need for an Analytic Platform by ParAccel
May 10, 2012 - (Free Research) Watch this brief webcast to learn how your business should handle "big data analytics" and what tools you need to gain valuable insight into your business operations.
Mobile phone app opportunities for business by ComputerWeekly.com
December 01, 2010 - (Free Research) Over the past 12 months, the global market for applications – fuelled by the astonishing and unprecedented activity experienced on Apple’s App Store and iPhone – has continued its stellar levels of growth.
Extended Warehouse Management with SAP SCM by SAP America, Inc.
April 26, 2012 - (Free Research) <p>Discover how SAP supply chain management has been extended to provider more in-depth warehouse management support through SAP Extended Warehouse Management (SAP EWM) and how it supports higher process and stock visibility, better warehouse operations planning, and better efficiency.</p>
Big Data and Data Warehousing Architectures by Talend
April 19, 2012 - (Free Research) Industry expert Wayne Eckerson knows a thing or two about big data and how to handle it. So, it's in your best interest to view the second installment of a two-part video series as Eckerson discusses data warehouse architectures for storing big data. Learn how to evaluate whether data architectures can handle big data, amongst much more.
The Intersection of Big Data and Data Warehousing by Talend
April 19, 2012 - (Free Research) Big data can present big problems. Just ask expert Wayne Eckerson, who takes some time in this first installment of a two-part video series to discuss the common issues surrounding the management of big data growth in a data warehouse. Learn why big data is more pivotal than ever, how you can gain a competitive advantage by analyzing it and more.
Comprehensive Data Warehousing & BI Solution with Oracle Database 11g by Oracle Corporation
October 2007 - (Free Research) 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.
E-Book: Navigating the Data Warehouse Appliance Selection and Purchase Process by Oracle Corporation
May 2011 - (Free Research) In this E-Book, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations.
Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation
January 2009 - (Free Research) In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.
Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata by IBM
January 2012 - (Free Research) This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
Data Integration: Moving Beyond ETL by DataFlux Corporation
January 2011 - (Free Research) This white paper explores the various methods of data integration that can help an organization find a solution that fits its specific business needs. Read on to learn more.
BI Trends and Strategies E-Zine Issue 6 by SearchBusinessAnalytics
May 2012 - (Free Research) This edition of BI Trends and Strategies opens with a piece by Lou Agosta on the need for data warehouses to adapt to new data types, innovation and big data. Alan R. Earls also offers advice for incorporating spreadsheets into your BI programs without problems and Richard Herschel calls for universities to step up their BI and analytics programs.
SearchDataManagement.com E-Guide: Data Integration tips and techniques by SAP America, Inc.
May 2012 - (Free Research) <p class="Default">Since BI tools are critical to the success of your organization, securing an effective, well-executed process for BI data integration should be a top priority. Access this expert e-guide for tips and techniques on data integration.</p>
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