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: When searching for a warehouse management system (WMS), a number of myths surface.

Abstract: While on the surface, there are few economic or strategic reasons for organizations to persist with electronic data interchange (EDI), many seem reluctant to adopt the alternative at this stage. In fact, there has been almost negligible growth in the number of organizations replacing their EDI-based systems with XML.

Abstract: Both Intel and AMD announced earnings that handily beat Wall Street estimates – on the surface. Do the numbers symbolize a new trend in the CPU market?

Abstract: In PLM, there is no single vendor that can meet all of the requirements, and the market is still immature, so almost every product can be the right solution provided a certain set of requirements. In this part of the article we review 3 vendors who offer products to the PLM market - IDe, Thetis, and PDMware - as a demonstration that selecting the appropriate solution is highly dependant on the prioritized needs of the business.

Abstract: I'm Larry Blitz, editor of Technology Evaluation Centers’ (TEC) Vendor Showdown series. Welcome to our latest: ERP - Distribution Showdown. You’ll notice this one has a broader focus than Showdowns we’ve done in the past. Again we’ll be comparing three vendor solutions head-to-head, but not just on functionality. This time we’ll also look at the industries these solutions support, how well they cover different portions of the mid-market segment, and how their installed bases break out geographically. Of course, functionality is again a key component of this Showdown, broken down into four main distribution areas and 13 subareas. We hope you find today’s Showdown helpful and informative, and invite your comments and questions at showdown@technologyevaluation.com.

Abstract: There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have an increased focus on data cleansing and integrity.

Abstract: This part illustrates how selecting the right ERP product depends on each client's requirements. Epicor, QAD, and Ramco Systems' rank can change with different sets of client requirements.

Abstract: Here's a handy checklist to make sure you cover all the bases and ask all the right questions when you go about comparing banks.

Abstract: Analytical Hierarchy Process (AHP) is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, assessing the relative importance of these criteria, comparing alternatives for each criterion, and determining an overall ranking of the alternatives

Abstract: Decision matrix: a decision-support tool allowing decision makers to solve their problem by evaluating, rating, and comparing different alternatives

Abstract: Decision matrix: a decision-support tool allowing decision makers to solve their problem by evaluating, rating, and comparing different alternatives

Abstract: Customer relationship management (CRM) functionality can fall into four categories: core functionality; non-core functionality; vertical, industry-specific features; and accounting-related features. When evaluating and selecting a CRM solution, enterprises must be aware of the potential issues associated with functions and features that are not part of core CRM functionality.

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.