Documents » bi documentations 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: 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: 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: 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: Commercial open source business intelligence (BI) is becoming an alternative to proprietary open source BI for medium and large companies. However, commercial BI solutions have major demerits compared to proprietary BI, and have a long way to go to compete in the market. Discover the advantages and disadvantages of commercial open source BI compared to proprietary BI, and which one may be better for your company.
Abstract: By adopting traditional business intelligence (BI) tools, companies have gained valuable insights into past activities and results. However, with operational BI that is different from standard and tactical BI, promptness of information and data in real-time or near real-time is established. Learn how operational BI can boost the timeliness and accuracy of business decisions, and improve operational efficiency and results.
Abstract: Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.
Abstract: Business intelligence (BI) 2.0 is used more and more to refer to the next generation of BI solutions, which allow better access to information, and enable communication and collaboration amongst all users. But how is BI changing exactly? For one thing, BI 2.0 allows Web-based interactive reporting. Learn about other differences—and how BI 2.0 can make a difference in your organization’s data warehousing and other activities.
Abstract: In the world of Web-based business intelligence (BI), mashups combine two or more data sources in a single feature. Mashups are among the innovations that help spread BI wider and deeper across organizations. Known as “pervasive BI,” this concept hinges on offering features and applications that blend with—and navigate like—the familiar Web browser. Find out how pervasive BI can help your organization today.