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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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 evaluation data quality


Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

evaluation data quality  the pipeline and an evaluation of what would be the most effective point to enforce data quality. Step 4: Technology assessment Deciding upon an approach to data quality requires a thorough and realistic appraisal of the technology and resources available within the organization. Ask yourself the following questions: If data quality is to be enforced via a web site, is it feasible to integrate the technology into the web site or will the site have to be retooled to make it possible? Is the volume of

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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

ERP for Manufacturing (SMB)

TEC's new ERP for Manufacturing (SMB) evaluation model targets the software requirements of small and medium enterprises. If your organization doesn't have many sites to operate, seeks a solid base of ERP functionality, but doesn't want every possible feature of the biggest systems on the market, this model is a good starting place for your research. It covers fully featured accounting solutions with necessary manufacturing, inventory, human resources, purchasing, quality, and sales management functionality. 

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Documents related to » evaluation data quality

TEC’s New Utilities ERP Evaluation Center: A Preview


The Utilities Industry From TEC’s perspective and based on our understanding of the industry, the utilities industry consists primarily of the following service providers: electric power generators, network operators, customer power retailers, natural gas, steam supply, water supply, and sewage removal. All of these business segments have common criteria such as a mass customer service

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e-Business Service Provider Evaluation & Selection


This is a transcript of an audio conference on E-Business Service Provider Evaluation and Selection presented by TechnologyEvaluation.Com. The presentation used the TEC patented selection engine WebTESS to conduct a live real time evaluation and selection. It then reviewed the critical differentiating service provider criteria, as well as detailed comparisons of competing vendors within the various types of DBSPs.

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The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

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ROI Evaluation Report: IBM Cognos Software


According to Nucleus Research, IBM Cognos business intelligence (BI) software can help companies make better use of their data when performing tasks related to reporting, financial statements, budgeting, and analysis. Learn about some of the barriers to better data use, as well as the key features and functions of this BI solution—and how you can improve data access and analysis, employee performance, and productivity.

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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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Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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Team Quality Corp


Team Quality is a leader company in the Latin American banking and Retail market, with a large number of implementations, showing a professional management and high quality of services for our clients.

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New Arena PLM Offering Handles Quality


Cloud-based PLM software provider Arena Solutions recently announced Arena Quality, a new solution that aims to better organize quality processes at high-tech companies. Quality processes are now directly connected to the product record in Arena PLM, which provides everyone with visibility into quality issues to rapidly identify, capture, collaborate, and resolve product quality problems.

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