Documents » eam selection for underground mining.
Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted EAM knowledge bases, allows organizations to save time and money, achieving better and more reliable/fully-documented decisions, a quantum improvement over the widely-used subjective process of selecting complex enterprise software...
Abstract: Data
mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data
mining and predictive analysis. Learn more.
PubDate: 9/22/2009 4:27:00 PM
Abstract: This tutorial, part 2 of a two part series on Knowledge Based Selection, demonstrates the selection processes and capabilities of Knowledge Based Selection Methods and Tools. These tools, integrated with business decision making procedures, can arguably reduce selection risk and improve chances for success in IT projects. Given the appalling rate of IT project failures, selection can potentially help reduce risk in some 30% of cases, with an associated estimated cost of about $30B annually to industry according to some sources. In this tutorial, we illustrate a number of the procedures for rapid decision processing through the real-life selection of a PDA device. The process gave confidence to the argument to wait for the solution, while weighing risk against return.
Abstract: Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.
Abstract: It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.
Abstract: Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.
Abstract: Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.
Abstract: 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.
Abstract: Every corporation needs to make decisions about the selection and implementation if new IT solutions on a regular basis. However, an industrial manufacturer or retailer cannot see this as being one of their core competencies. In most cases such a selection process is seen as a necessary evil rather than a challenge that uncovers new potentials within the company. Only the ones that are able to fully understand and control this process in conjunction with all internally and externally involved parties will be more successful then others. The implementation of new IT solutions can be a chance to increase efficiency, but only if the right goals are defined, the right solutions and partners selected, and results are being monitored on a continual basis. This white paper was designed to deliver you many hints on what to consider and help you reach your goals in your IT selection process faster.
Abstract: Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still take uncertainty into account. Learn how a simulation tool can you help forecast the behavior of complex mining systems.
Abstract: This article explores how the proof of concept (POC) fits into the software selection process, when a POC should be undertaken, structural variables, and the advantages and disadvantages of the POC from the client and value-added reseller point of view.
Abstract: A proof of concept (POC) should be completed as part of the selection process when the risk of project failure is comparatively high. Risk can be measured by two key variables. These variables are complexity of requirements and level of expertise of the selection/implementation team. The more complex the system requirements, the greater the benefit obtained from a POC.
Abstract: Using a knowledge base in the selection process can reduce the time, risk and cost of procuring technology. Well constructed knowledge bases that are used in a tested selection methodology reduce the RFI process from months to weeks, eliminate data quality issues and allow an apples to apples comparison of vendor offerings.
Abstract: Since a 'one-size-fits-all' product is still not quite a viable possibility, almost every product can win provided a certain set of requirements. The Catch 22 for both buyers and vendors/VARs is to pinpoint the right opportunity in this ongoing 'dating game'. An RFP/RFI selection process can streamline the initial phase of an ERP selection process while addressing many of the buyer's vital questions.
Abstract: Enterprise software selection is a risky undertaking for any organization. Find out how you can reduce the risk with a best-practice approach to assessment, evaluation, and selection—and learn how to reduce the time and cost involved in choosing the right solution.
Abstract: During a recent Enterprise Resource Planning selection engagement with a large aerospace and defense manufacturer TEC had the opportunity to evaluate and compare the offerings of four top vendors. Each vendor’s offering differed in such areas as functionality, flexibility, process fit and ease of use. Find out what TEC learned as a result of the selection engagement.
Abstract: Software selection is complex and time-consuming. Taking shortcuts or skipping steps in the process increases the risk of making the wrong choice. But attending a virtual trade show can accelerate the selection process, increase vendor interaction, and reduce this risk.
Abstract: Kelly-Moore Paints, the largest employee-owned paint company in the US, was looking to consolidate all business activities into one company-wide platform. The challenge: it had only 10 months in which to complete the project—including requirements-gathering, evaluation and selection, and implementation. Find out how Technology Evaluation Centers (TEC) helped Kelly-Moore take control of its software selection project.
Abstract: Counterfeit medicine is a major threat to the pharmaceutical industry. Seven percent of the medicine worldwide is counterfeit; however, advances in packaging and labeling technologies are coming to the industry’s aid. Pharmaceutical companies are using pilot projects to help labeling implementations throughout the supply chain to increase the availability of safe, licensed medicine and thwart the underground drug market.
Abstract: Hendrix Wire & Cable, an underground power distribution product manufacturer, had a highly functional in-house-developed system that fit its manufacturing environment. However, it was expensive to support and maintain. Management wanted to establish a foundation to support planned e-commerce initiatives and provide better visibility and executive decision support. And above all, they wanted to lower the company’s IT-related costs.