Documents » selection of hrm for mining and quarrying.
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: Oracle E-Business Suite (12.1) is now TEC Certified for online comparison of human resource management (HRM) solutions in TEC's Evaluation Centers. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.
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: 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: Software vendors and users often view advanced data visualization and dashboard capabilities as the “sizzle” that helps sell the product. This over-simplification misses the key point that ADV delivers the “steak” (i.e., the relevant information) users need to make accurate assessments that optimize business results. Discover how ADV and dashboards can help you keep your company focused on its core mission.
Abstract: Achieving operational excellence is fundamental for Yanacocha, the largest gold producer in South America. In 1999, Yanacocha decided it needed an online system linking its principal management areas (operations, maintenance, logistics, finance, and human resources), in order to optimize efficiency in administering its assets. It turned to Mincom Ellipse as its corporate management system, allowing standardization of its operations worldwide.
Abstract: Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive business decisions and develop corporate strategy. For an organization, there are many benefits to implementing a BPM solution.
Abstract: SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come from a variety of sources.
Abstract: As one of the world’s leading manufacturers of construction and mining equipment, Komatsu has enjoyed significant growth. In fact, 2004 marked the best business performance in the company’s history. Now the company is focused on accelerating product development by making better, faster decisions throughout the product lifecycle. The solution: PTC’s ProductView.
Abstract: PEMCO Corporation, a manufacturer of high quality mining products for multinational original equipment manufacturers (OEMs), realized increased on-time delivery performance and reduced customer service costs while preventing product shortages through just-in-time material availability. The improved quality of information and improved flow of product through the plant has even resulted in revamped employee morale and job satisfaction.
Abstract: Orezone strikes gold with Microsoft Business Solutions - Great Plains. Orezone is a Canadian mining company that needed a more efficient means to track and store data sent from its African mines to its Canadian offices. Learn how it used MBS Great Plains to boost efficiency.
Abstract: Conventional business intelligence (BI) tools are often not available to decision makers and are typically designed for use by trained business analysts. Learn about software-as-a-service (SaaS) BI tools designed to help non-IT people who struggle with the task of mining Microsoft Excel spreadsheets and other unstructured data sources to make sales forecasts, plan for resource utilization, or service customer accounts.
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: 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: 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.