Documents » business intelligence guides 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.
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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: 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: 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: Manufacturers already apply transportation management systems (TMSs) to outbound shipping, but they often overlook the money they could save by using a TMS to control inbound shipping costs as well. Find out how improved inbound transportation practices can help you predict true total delivered costs, get visibility on inbound shipments, enforce routing guides, optimize freight, and minimize accessorial charges.
Abstract: For many suppliers, keeping up with their retail customers’ compliance guides is a challenge, driven by the fast pace of the retail supply chain and complex trading partner systems. But even when retailers and vendors work together, data errors can slow down the supply chain and trigger deductions for compliance errors. Discover a solution that can help you eliminate preventable chargebacks in your supply chain.
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: There is a presumption that enterprise performance management and business intelligence initiatives must be supported by data warehouses. Conceptually, the data warehouse provides a central point where a copy of data from multiple locations is stored and optimized for reporting. In practice, however, it is possible to access powerful business intelligence, analytics, and reporting, without relying on a data warehouse.
Abstract: When it comes to marketing, sales and customer service there’s no question that the second approach delivers higher value—especially in an age when companies are combating unprecedented competition while being forced to do more with less. The reality is this: choose the second example or risk being second best. This white paper explores why actionable business intelligence is so critical in today’s business environment and how Maximizer Software’s customer relationship management (CRM) solution can be used to deliver actionable intelligence when and where it’s needed most.
Abstract: No matter the size of your company, you need critical business information and integrated reporting. Small to medium enterprises (SMEs) shouldn’t discount the importance of business intelligence (BI). In fact, most SME owners make decisions based on a best guess, and don’t know the value of business intelligence (BI) systems. But you don’t have to empty your coffers—new BI software is Web-based and affordable. Learn more.
Abstract: If you’re considering investing in business intelligence (BI) software, you need to know about the features and functionalities BI solutions offer, and how to use them to improve your business performance. The Oracle Business Intelligence Suite Enterprise Edition Plus (OBIEE Plus) is a suite of BI products with a range of capabilities. Find out if OBIEE Plus offers your company the BI tools you need.
Abstract: QlikTech develops and provides a complete suite of powerful business intelligence and data analysis software called QlikView (pronounced click-view). QlikView’s powerful business intelligence and analytics engine is utilizing patented AQL technology to build a non-relational, highly space-efficient associative database residing in RAM. This results in interactive, easy-to-use business analytics applications that are considerably more flexible and faster to deploy compared with traditional business intelligence and OLAP solutions. The purpose of this paper is to provide an introduction to the QlikView user interface and descriptions of the various features that set QlikView apart from other database interfaces.