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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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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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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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IQMS EnterpriseIQ Is Now TEC Certified In Four Evaluation Models


With an expanded capability set of EnterpriseIQ from IQMS, the enterprise resource planning (ERP) solution has achieved certification from TEC in four different manufacturing areas. Get the details in Aleksey Osintsev's post.

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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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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

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Analytics and Big Data for the Mid-Market


Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and showing how these solutions provide tangible benefits to line-of-business operations.

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Human Resources (HR) Software Evaluation Report


This Software Evaluation Report on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee personnel tasks. Its extensive criteria include benefits and payroll management, employee self service, data warehousing, and health and safety requirements.

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Data Storage in the Cloud--Can You Afford Not To?


In Data Storage in the Cloud Can You Afford Not To?

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