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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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 decision trees data mining


The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

decision trees data mining  geography to group locations. Decision Trees A decision tree is a structure where a branch or a split divides the dataset to partition data distribution. Each split is based on an attribute that causes a significant division in the data. Predictions can be made by applying the new attribute values to the decision tree. Naïve Bayes The Bayes algorithm has a systematic method of learning based on evidence. It combines conditional and unconditional probabilities to calculate the probability of a

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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

Mining Industry (ERP & CMMS) Software Evaluation Report

This Software Evaluation Report includes enterprise resource planning (ERP) and computerized maintenance management system (CMMS) modules geared toward the regular requirements of companies in the mining industry. While including important criteria for financials solutions and human resources, it has additional process workflow, quality management, field service, and other criteria. 

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Business Intelligence for SMBs: MBS Excel Applications and Competitive Analysis


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Typical explanations given for increased spending in business intelligence include, meeting government regulations, managing information overload, tracking corporate goals, and improving competitive response. However, a deeper drive for BI stems from the need to quantify the intangibles that underlie the market value of a business.

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The Path to Healthy Data Governance


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Governance from the Ground Up: Launching Your Data Governance Initiative


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Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


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