Documents » scm information for mining and quarrying.
Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted SCM 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: 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: To make timely, well-informed decisions, you need just that: time and information. This means having fast access to accurate information from every department in your company, and time away from fighting fires to focus on priorities, problem solving, and marketing strategy. We examine how you can gain reliable, accessible information from efficient, integrated IT systems—and use that information to make faster, smarter decisions.
Abstract: Information management, which includes both data and content management, is an essential element of service-oriented architecture (SOA). Taking a service-oriented approach to information data can thus help you achieve greater value from your information assets. Implementing master data management (MDM) services can provide a multiplier effect, by delivering high-value business services over and above information integration services.
Abstract: Today, businesses must work smarter, not just harder—and to do it, they must use information to compete. With growing demands on data resources, companies need to derive greater value from their existing information. But this information is often scattered throughout the organization. To survive in the current tough economic environment means building successful enterprise information management strategies. Find out how.
Abstract: Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization, enterprise information integration, and corporate performance management are among the proposed solutions, but do they really deliver real time information?
Abstract: Information technology (IT) is the study, design, development, implementation, support or management of computer-based information systems, particularly software applications and computer hardware (source: Information Technology Association of America [ITAA]).
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: Chief information officers (CIOs) must provide timely, accurate, and consistent enterprise-wide information, to support business goals and stay competitive. But with data in multiple disparate applications, this is a challenge. Learn best practices for developing an information management strategy that can help you gain a comprehensive view of data and processes—to enable real-time visibility and better decision making.
Abstract: This report identifies the major IT issues faced by small to midsized businesses (SMBs), including information silos, lack of IT staff, and outdated business applications. Because they lack the right information to meet customer expectations, SMBs have difficulty reacting quickly to fast-changing market dynamics and growing their revenue. Find out how the elimination of information silos can create a more consistent effective customer experience.
Abstract: While most information vulnerabilities stem from external intrusion and theft of data, there remains a greater potential for information to be lost, stolen, or accidentally erased by internal sources—the employees. Don’t let this be the case with your business! Information vulnerability management (IVM) is a corporate issue—one that needs addressing. To learn how you can reduce your exposure, download this white paper.
Abstract: A new trend is emerging in the world of storage management, and it’s called information lifecycle management (ILM). Just what it is, however, varies significantly from vendor to vendor. Generally, ILM is a strategy for policy-based information management. Its mandate: to provide centralized management of all information assets, aligning storage resources with the value of the data residing in them.
Abstract: The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.
Abstract: Information is one of your greatest assets—helping your organization stay on top of regulatory requirements, close to customers, and ahead of the competition. But managing that information isn’t easy when it is scattered across many isolated silos. A good information management strategy can help you get a complete view of your data, reduce the risk of inaccurate reporting, and keep costs under control. Find out more.
Abstract: Information errors are costing retailers and manufacturers a lot of money. Studies show that billions of dollars are wasted because of invoice errors caused by bad data. Most agree that eliminating product information errors will save money, but many of those same believers are not rushing to solve the problem. Why?