Documents » business intelligence application 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: The reality of today’s application environment is that no single application meets all of the needs of a business, or frequently even the needs of a single business process, so multiple applications must work together to support business processes.
Abstract: This document explains Ultimate Software’s Intersourcing application and how it will benefit the company using it. Intersourcing is a hosting solution; this means the application is managed, supported and upgraded by an application service provider (ASP). Learn why application hosting makes sense for your organization.
Abstract: While concerns regarding open source are still being debated, many companies are experimenting with and deploying open source application servers in their data centers. While some are attracted to the ability to modify source code as needed, many are attracted to the perceived cost savings of open source. This white paper compares the total cost of ownership (TCO) of one open source and one commercial application server.
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: Many companies are looking to outsource development and maintenance of their application software. Common reasons that companies outsource application software are to reduce their costs, improve quality, obtain flexible staffing levels, and obtain improved service and support so they can focus on their core competence such as, designing clothes, managing equity portfolios, or running hospitals. Choosing whether to outsource or not is a strategic decision for a company. Once a company has decided to outsource, however, it must still choose an outsourcing approach that best fits it needs. This paper will describe the many different options for application software outsourcing, including the advantages and disadvantages of each alternative.
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: Custom application development is a trusted, tested strategy to ensure effective application of resources for business advancement and continuity, with minimal risk and solid return on investment (ROI). What’s that, you say? High cost? Low dependability? Long timelines? The custom application development model is plagued by myths. Find out why they’re all wrong.
Abstract: IT organizations can no longer manage networks in isolation from the applications they support, requiring a shift from focusing on devices to a focus on performance. But a number of factors complicate the task of ensuring acceptable application performance, including the lack of visibility into application performance. Learn tips to plan, optimize, manage, and control your application performance and improve delivery.
Abstract: Web 2.0 applications, perceived by many software users as better looking and easier to use than traditional apps, can provide many benefits to your company. However, building Web 2.0 apps adds development burdens of security, transaction management, and a variety of user interface features. To conquer these issues, you might consider an application generator to eliminate hand-coding infrastructure programming. Learn more.
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.