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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 test data generator


10 Errors to Avoid When Commissioning a Data Center
Data center commissioning requires tight coordination between vendors, facilities, IT departments, engineers, the commissioning agent, and others. Managed

test data generator  of Human Fatigue on Test Results Depending on the size of the data center design / build project, commissioning can be completed in a day, on a three day weekend, or can take several weeks. Integrated commissioning is one of the most demanding steps in the data center design / build process. The employees involved work long and hard hours and are under constant high levels of stress. Many of the individuals involved are sleep deprived and perform the commissioning on weekends after having worked several w

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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

Software Test Tools

Tools exist to support software testing at all stages of a project. Some vendors offer an integrated suite that will support testing and development throughout a project's life, from gathering requirements to supporting the live system. Some vendors concentrate on a single part of that life cycle. The software test tools knowledge base provides functional criteria you might expect from a testing tool, the infrastructure that supports the tool, and an idea of the market position of the vendor.  

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A How-to Guide for a Radio Frequency Identification Site Survey


As organizations prepare for a radio frequency identification (RFID) implementation, they often don't understand the preliminary work necessary to begin the project. The importance of a site survey can influence the success or failure of an RFID project.

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Sage Saleslogix Guidebook


If you’ve already implemented Sage Saleslogix for your customer relationship management (CRM) process and CRM analytics needs, this guidebook can help you achieve more value. And if you’re considering Saleslogix for your new CRM solution, you’ll learn best practices, including how to integrate and customize; how to move from sales to support, service, and marketing; and how to think strategically about training.

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9 Critical Characteristics to Demand from Your Timesheet Vendor


If you’ve outgrown your paper-based timesheet system, or if you have multiple time collection systems, it gets hard to understand project costs, figure out what people are working on, and send error-free bills to your customers. That’s why you need to be sure you’ll be immune to the most common problems people experience when buying a timesheet collection automation system.

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The SaaS Advantage


More providers of traditional software solutions are moving to software-as-a-service (SaaS) models that meet today’s competitive needs for agility and real-time information, without requiring manufacturers to make a large up-front financial outlay. Confidence continues to increase thanks to pioneering SaaS providers who are able to point to a history of successful implementation. Learn more about the benefits of SaaS.

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2012 Business Data Loss Survey results


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Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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