Documents » business intelligence information 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: 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’s knowledge workers spend more time sorting though a huge amount of information and less time adding value to it. Enterprises have responded by moving to a self-service business intelligence (BI) model. But that often conflicts with efforts to control, secure, centralize, and optimize their BI environments. Learn how you can get the right data now, while maintaining information quality and operational security.
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: With business intelligence (BI), decision-makers can feel the organization’s pulse, evaluate the performance of key business functions, and take action based on their analysis. However, many organizations invest time, money, and resources in BI processes, only to waste their newfound capabilities. Why? And, more importantly, how do you ensure that your BI solution won’t be one of them?
Abstract: If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the full range of BI functionality—leading to excessive costs, delays, and user dissatisfaction. Learn about a solution that covers the five different styles of BI functionality.
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 Builders Inc., (IBI) has released a new suite of business intelligence tools designed to support e-business. Release 4.3 of the product has been re-engineered and enabled for wireless and XML, in addition to integration with Microsoft Office 2000 and BackOffice 2000. Announced at their Summit 2000 User Conference, IBI hopes the product will appeal to non-technical users of business intelligence technologies.
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: SAP has gained connectivity to virtually any source on the plant floor and analytical functionality through its acquisition of Lighthammer's products for plant intelligence. SAP users in the process of evaluating plant intelligence solutions should seriously consider Lighthammer.
Abstract: Sterling Software, Inc. (NYSE: SSW) announced general availability today of its new EUREKA:Intelligence product, a 100% Java, Web-Based Integrated, Query, Analysis and Reporting tool that allows users to easily query, manipulate and format data for personal or shared use. EUREKA:Intelligence is suited for large, distributed organizations that require general purpose analyses reporting requirements for a large portion of business users.
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.