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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

searches and retrieves data by store  or tweak the system. Searches related to Best Practices for a Data Warehouse on Oracle Database 11g : Data Warehouse | Data Warehouse Architecture | Data Warehouse Concepts | Data Warehousing Information Center | Data Integration Paper | Data Warehouse Software | Data Warehousing Analysis | Data Warehouse Community | Data Warehouse Automation | Perspectives on Data Warehousing | Data Warehousing OLAP | Resource Data Warehouse | Land and Resource Data Warehouse | Data Warehouse Web Site | Data Mining |

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Core PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology  

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Ensuring E-mail Security: The Benefits of Using a Perimeter-based Managed Service


There are hundreds of anti-spam and anti-virus products designed to defend against unwanted e-mail. These solutions can take the form of software, appliances, or managed services. Managed filtering services are convenient and economical, and are also extremely effective in managing threats. In fact, most managed e-mail defense services block threats before they even reach the internal network.

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How to Use Data Management Successfully


Find out in the white paper master data management: extracting value from your most important intangible asset.

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Data Management Wish List: IT Is Open to Big Changes


Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape.

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Rover Data Systems


Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small (<$10M) to the mid-range (>$100M) and cover a broad range of industries from Electronics Manufacturing to Auto Aftermarket Manufacturing to distribution and service. Over the years, the company has also distinguished itself by providing excellent service to its growing installed base. In fact, Rover Data Systems has never lost an installed account to a competitive software product. The first customer still runs all of their operations on the Millennium III Enterprise System.

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Phoenix Data Systems


Established in 1974 and currently headquartered in Southfield, Michigan (US), Phoenix DataSystems, Inc., initially began as a custom software developer. In the 1980s, it shifted focus to a single specialty: healthcare related equipment maintenance.

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Pillar Data Systems


There are currently no details available for this vendor. However, we are working to update this vendor’s information in our database as soon as possible. Please check back again.

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Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

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Keeping Up with Production: How Agile Data Management Speeds Time to Market


Software development across industries is undergoing a constant revolution, driving toward more efficient processes, while data management is trapped with slow legacy systems. This document from Gleanster outlines how data as a service transforms data from drag to driver.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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