Documents » bi selections 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: 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: Knowledge Based Selections allow companies to truly reach an optimum and justifiable technology decision. Knowledge Based Selections have several unique characteristics that enable a company to rapidly and effectively marry internal business requirements with a myriad of vendor attributes that relate to both product performance and long-term value to clients.
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: A major consulting firm recently unveiled an E-Procurement selection tool that helps its clients select technologies that enable their business objectives. The tool combines the consulting firm’s knowledge of various E-Procurement solutions with TEC’s decision support technologies.
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: Two of the greatest challenges IT decision makers face when selecting a CRM package is first, having a comprehensive understanding of their functional and technical requirements and second, identifying the vendors that best match their requirements. This article will focus on determining the functionality and technology required to enable business processes, and how to compare vendor offerings once those requirements have been documented.
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: Selecting a new enterprise customer relationship management (CRM) solution is an undertaking that requires careful planning and managed execution. And in fact, there are a number of common mistakes that organizations make. Failing to execute the selection process in an objective and structured fashion can be an expensive financial mistake—as well as a fatal hit to your professional reputation.
Abstract: How can you ensure that you make the right choice when purchasing enterprise resource planning (ERP) software? The answer: take all the critical components into consideration. ERP selection is not just about what different people in your organization want or don't want, it's about getting what you need for now and the future. Remember, you're not just buying software; you're buying into a vendor and its company culture.
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: 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: System integration service provider selections and project planning should involve the same amount of due diligence as business IT strategy definition and software evaluation.
Abstract: In going through a business decision process for complex technology selections, more and more use is being made of technologically driven processes using Decision support tools and captured knowledge. The use of these systems and the capability to drive a solution from them assumes an ability to accurately express business requirements and business value within these tools. In this article, we explore the marriage of knowledge management and decision support in forming knowledge based selection systems and procedures that can assist in reducing the current appalling record of IT project failures. This is illustrated by the process to select a Personal Digital Assistant (PDA).
Abstract: Past experience shows us that the vast majority of enterprise technology evaluations run over time and budget, and once selected, the majority of the implementations fail to meet functional, return on investment (ROI) and total cost of ownership (TCO) expectations. Enterprise technology selections for ERP, CRM, SCM, and other enterprise applications provide valuable lessons that can be applied to selecting PLM software, but there are some key differences that need to be recognized.
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.