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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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 data entry proposal template


PDM vs. PLM: A Matrix View
Two recent blog posts by Oleg Shilovitsky (PDM vs. PLM: A Data Perspective and PDM vs. PLM: A Process Perspective) got me wondering about what a true product

data entry proposal template  PDM vs. PLM: A Data Perspective and PDM vs. PLM: A Process Perspective ) got me wondering about what a true product lifecycle management (PLM) system actually is. In his posts, Shilovitsky discussed the differences between product data management (PDM) and PLM from the perspective of data (scope and control of the data) and process (coverage of product lifecycle activities) I have a bit of a different perspective. Let me back up first and look at systems being implemented for product development and

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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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Your Reference Guide to SMB Accounting Software Features


This reference guide provides insight into the accounting features and functions currently available on today's market for small to medium businesses (SMBs). It will help you determine which features your organization needs—and doesn't need.

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Powerful Solutions for Project-driven Organizations


Too often, project-driven organizations are faced with a difficult choice: they can choose best-of-breed business applications and integrate them at great cost, or choose a fully integrated solution that lacks functional depth in key areas. Success management of your business and its projects requires integrated tools that also provide deep functionality.

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Ask the Experts: So, This ERP Thing… How Does It Work?


TEC reader Martin K. recently wrote in with these questions: What kind of data is handled by ERP systems and how it is done? How does the interface work? Which departments normally use it? And who is the recommended team that should choose the ERP system?TEC analyst Alex Hankewicz says: To answer these questions, we need to take a step back and examine the evolution of ERP. ERP

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Project-oriented Software: Many Choices, Many Differences


Professional service organizations sell not just time, but knowledge. Thus, in addition to time and expense management, a business management software product must support a means for knowing how this knowledge is tracked, assigned, managed, and billed. But which product?

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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud


Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

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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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Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

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