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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 mining decision tree


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

data mining decision tree  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application.

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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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How to Evaluate Web-based BI Solutions


Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web-based BI applications, organizations must evaluate architecture, rather than features or functions. What differentiators do you need to look for before embarking on a full-scale BI implementation? And which vendors offer the solution your organization truly needs?

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Understanding Business Intelligence and Your Bottom Line


Given that virtually all small and midsized businesses can benefit from business intelligence (BI) tools, the real question is how much of this technology constitutes a good investment of time and energy? Your need to determine what BI tools you really require to drill down and extract the key performance data that will make your company more efficient and profitable.

data mining decision tree  , knowledge management , data warehousing , Also stood for : Business Insights . Table of Contents Introduction Cutting Through BI Mythology and Hype Guidelines for a High-Performance, Low-Cost BI Solution How Sage Software Can Help You Achieve Your Goals About Sage Software Introduction The terms Business Intelligence and its acronym BI are so pervasive in today's data-intensive lexicon that it's a challenge to know just what to make of it. If you add in all the new trendy terminology such as Read More

Using Predictive Analytics within Business Intelligence: A Primer


What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

data mining decision tree  Components of Predictive Analytics Data mining can be defined as an analytical tool set that searches for data patterns automatically and identifies specific patterns within large datasets across disparate organizational systems. Data mining, text mining, and Web mining are types of pattern identification. Organizations can use these forms of pattern recognition to identify customers' buying patterns or the relationship between a person's financial records and their credit risk. Predictive analytics Read More

Quote-to-order: The Major Players in the Manufacturing Arena


The latest generation of quote-to-order systems uses knowledge-based software to help reduce an organization’s dependence on its highly skilled experts. The ability to harness a company’s intellectual property and know-how helps build competitive advantage.

data mining decision tree  configurator with marketing analysis data mining tools. In this way, an organization can better understand what drives customer decision making, as well as what the customer's preferences are from an option standpoint. Organizations also have the ability to discover market patterns, customer profiling and product association, and pricing and product discount differentiation based on geography, customer, and volume—all creating opportunities for up-selling and cross-selling. Support for the acquisition Read More

2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

data mining decision tree  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

data mining decision tree  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

data mining decision tree  of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

data mining decision tree  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More

Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

data mining decision tree  Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed to automatically discover information in Read More

Tailoring SAP Data Management for Companies of All Sizes


The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

data mining decision tree  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More

The ASP Decision


The ASP model is the latest in a long line of silver bullets that are supposed to simplify the delivery of technology’s benefits to the business world. This article provides some simple guidelines for determining if you should consider the ASP model along with thoughts on selecting an ASP.

data mining decision tree  financial analysis of a data center relocation for a major brokerage house, an analysis of the data center hardware and software contract portfolio for a large Midwest healthcare, the negotiation of a multi-year hardware break/fix contract for a large Northeast insurance company, and the development of an application development services agreement for a Northeast financial services company. Previously, Mr. Hennigan spent over ten years in senior management positions in the Information Technology Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

data mining decision tree  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More

Protecting Critical Data


The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

data mining decision tree  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More