Documents » bi selections for ore exploration.
Abstract: Knowledge Based
Selections allow companies to truly reach an optimum and justifiable technology decision. Knowledge Based
Selections have several unique characteristics that enable a company to rapidly and effectively marry internal business requirements with a myriad of vendor attributes that relate to both product performance and long-term value to clients.
PubDate: 3/14/2001
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: In August, Epicor announced a revised portal strategy to provide rich portal content through a more secure and standardized portal platform. By leveraging Microsoft .NET across all product families, Epicor Portal will reportedly deliver data exploration, collaboration, and on-line management features.
Abstract: Now that you have planned and assessed your new system, it’s time to explore the next phase of the integration process: design and pre-deployment testing. Part 4 of this 4-part e-book series provides a basis for the exploration of network design. In addition, it includes a report card that will help you select the appropriate design and validation software tools for your Internet protocol telephony (IPT) system.
Abstract: A major consulting firm recently unveiled an E-Procurement selection tool that helps its clients select technologies that enable their business objectives. The tool combines the consulting firm’s knowledge of various E-Procurement solutions with TEC’s decision support technologies.
Abstract: Using a knowledge base in the selection process can reduce the time, risk and cost of procuring technology. Well constructed knowledge bases that are used in a tested selection methodology reduce the RFI process from months to weeks, eliminate data quality issues and allow an apples to apples comparison of vendor offerings.
Abstract: Two of the greatest challenges IT decision makers face when selecting a CRM package is first, having a comprehensive understanding of their functional and technical requirements and second, identifying the vendors that best match their requirements. This article will focus on determining the functionality and technology required to enable business processes, and how to compare vendor offerings once those requirements have been documented.
Abstract: Selecting a new enterprise customer relationship management (CRM) solution is an undertaking that requires careful planning and managed execution. And in fact, there are a number of common mistakes that organizations make. Failing to execute the selection process in an objective and structured fashion can be an expensive financial mistake—as well as a fatal hit to your professional reputation.
Abstract: How can you ensure that you make the right choice when purchasing enterprise resource planning (ERP) software? The answer: take all the critical components into consideration. ERP selection is not just about what different people in your organization want or don't want, it's about getting what you need for now and the future. Remember, you're not just buying software; you're buying into a vendor and its company culture.
Abstract: System integration service provider selections and project planning should involve the same amount of due diligence as business IT strategy definition and software evaluation.
Abstract: In going through a business decision process for complex technology selections, more and more use is being made of technologically driven processes using Decision support tools and captured knowledge. The use of these systems and the capability to drive a solution from them assumes an ability to accurately express business requirements and business value within these tools. In this article, we explore the marriage of knowledge management and decision support in forming knowledge based selection systems and procedures that can assist in reducing the current appalling record of IT project failures. This is illustrated by the process to select a Personal Digital Assistant (PDA).
Abstract: Past experience shows us that the vast majority of enterprise technology evaluations run over time and budget, and once selected, the majority of the implementations fail to meet functional, return on investment (ROI) and total cost of ownership (TCO) expectations. Enterprise technology selections for ERP, CRM, SCM, and other enterprise applications provide valuable lessons that can be applied to selecting PLM software, but there are some key differences that need to be recognized.
Abstract: All one has to do to get with the best product at the best price is to identify every requirement, find a product that meets all of the criteria, negotiate the best price and get it all done before the product becomes obsolete or the supplier goes out of business. Many successful and not so successful selections have been made. Learn from those efforts and remove time and risk from your next selection.
Abstract: Poor measurement methods can take off millions or more from bottom lines, and contribute at least in part to project failures, corporate inefficiencies and poor technology selections. Industry wide, they have contributed to tens of billions of dollars of unnecessary costs. How do you avoid these expensive mistakes?
Abstract: There is certainly room to ask the fundamental question of whether the traditional practice of RFI/RFP-based selection processes has been adequate for the task of selecting complex systems. The record indicates there is much room for improvement. In essence, for complex selections like in the case of enterprise applications, the human-machine combination has to work together to drive the solution.
Abstract: To simplify and greatly improve their BI shortlist selection processes, companies should focus on the business value and ongoing expenses that different solutions create—measured across a few key variables. This paper outlines key criteria that companies should consider when creating their business intelligence shortlists—and when making their ultimate selections.
Abstract: Commercial open source business intelligence (BI) is becoming an alternative to proprietary open source BI for medium and large companies. However, commercial BI solutions have major demerits compared to proprietary BI, and have a long way to go to compete in the market. Discover the advantages and disadvantages of commercial open source BI compared to proprietary BI, and which one may be better for your company.
Abstract: By adopting traditional business intelligence (BI) tools, companies have gained valuable insights into past activities and results. However, with operational BI that is different from standard and tactical BI, promptness of information and data in real-time or near real-time is established. Learn how operational BI can boost the timeliness and accuracy of business decisions, and improve operational efficiency and results.
Abstract: Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.