Documents » case studies for mining and quarrying business intelligence.
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: Business strategy, a road map telling us how the business plans to be successful, does not guarantee success. Strategy execution requires business processes that do what the strategy calls for--and do it well. In today's automated world, these business processes rely on business systems. Therefore, a direct link exists between the success of business strategy and business systems. Poor systems are a frequent reason for the failure of a business strategy.
Abstract: Enterprises of all sizes today face common problems dealing with handling increasing business complexity while reducing costs. The solution continues to be the automation of business processes. SAP is an established leader in addressing the needs of large enterprises. Building on that performance and identified best practices, SAP built and launched SAP Business One. SAP Business One was designed to offer small and medium businesses the same business streamlining and efficiencies at a scale and scope appropriate to their needs. IDC recently interviewed a number of companies that have successfully deployed SAP Business One. The purpose of our interviews was to determine what impact the software had on their productivity and cost reduction.
Abstract: As more business processes exist in an electronic universe, the need to manage the IT services that enable these processes increases. Business service management does this and achieves the IT alignment with the business necessary to ensure service improvement activities are prioritized with business objectives. Business service management applies the adage that if you improve IT, you improve the business. This paper presents an overview of business service management concepts and describes how Proxima Centauri provides a solution for this. It also describes how Six Sigma can be used as an underlying quality improvement process to eliminate the associated costs of poor quality.
Abstract: To enable organizations to support lean and traditional manufacturing practices in a single system, Microsoft Dynamics AX has incorporated lean manufacturing constructs into its package. Several case studies illustrate the use of kanbans in various lean environments.
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: Decison support systems range from simple electronic filing cabinets to complex data intensive and analytically sophisticated executive information systems. This primer provides an overview with real case studies.
Abstract: Aspen Technology recently announced its e-commerce initiative, Aspen e-Business, which is the first in a planned series of business-to-business e-commerce applications. As part of the initiative, AspenTech will partner with business-to-business application vendor Extricity Software, Inc. to deliver e-commerce solutions. Though Aspen lags behind other enterprise application software vendors in e-commerce offerings, recent business restructuring efforts and its hold on the process manufacturing segment may lead to success.
Abstract: In today's highly competitive business climate, the quality and timeliness of business information for an organization is not only a choice between profit and loss, it is a question of survival or bankruptcy. No business organization can deny the inevitable benefits of business intelligence.
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: As a consequence of the acquisition of Business Objects, SAP has shifted its SAP business warehouse (BW) strategy to a more open data warehousing approach and is now focusing on the former Business Objects portfolio. This guide is designed to help existing SAP BW customers to plan to move to the new business intelligence (BI) environment, and outlines most important architecture options for a data warehouse strategy.
Abstract: For over a decade, organizations have struggled with a gap between IT and business due to shifts in perceptions of what business intelligence (BI) should be. Often, skilled IT workers get stuck in low-level reporting roles, while business workers can’t access and analyze information fast enough to make strategic decisions. This discussion with an industry technologist offers some ideas for bridging the IT/business gap.
Abstract: Nowadays, it’s easy to spend nearly as much time trying to make the pieces of your supply chain work together as you actually spend working. Managing disparate systems and solving communication issues create challenges that keep your business-to-business (B2B) solutions from working in sync. Find out how integrating the technology, business processes, and communication of your entire business community can help.
Abstract: Two recent studies on the growth of business over the Internet agree that growth is still strong. The studies contain information about infrastructure growth and development costs as well as E-commerce revenues.
Abstract: Written for the IT outsourcing community, this document describes an approach for measuring the business value of IT in order to focus service provision activities on areas that are of priority to the client. It introduces a quality improvement process that can decrease the cost of service provisioning without impairing service quality. The intended audience includes those responsible for designing a solution, managers of an existing service, and people bidding for new business looking to differentiate their services. By measuring and reporting on the business value of an IT service, outsourcers' clients see the contribution being made to the success of their clients' business ventures. As a result, the outsourcers' relationships will transition from supplier to partner, they become better placed to exploit new business opportunities, and save money by focusing efforts on areas that are important to their clients.