Documents » selections of hrm for brokerage.
Abstract: Oracle E-Business Suite (12.1) is now TEC Certified for online comparison of human resource management (
HRM) solutions in TEC's Evaluation Centers. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.
PubDate: 5/5/2010 10:03:00 AM
Abstract: Client relationship management (CRM) technology can help capital-markets firms streamline investment banking activities, increase brokerage trade volume, and meet compliance challenges. As a nerve center for information about clients, prospects, institutions, syndicate partners, and other contacts, the right CRM system enables capital-markets firms to share intelligence, coordinate activities, and derive advantage from an integrated body of corporate knowledge and relationships.
Abstract: In today’s marketplace, credit unions face competition from community banks, money center banks, thrifts, other credit unions, insurance and brokerage firms, and even large retailers that are expanding into banking services. With competition coming from every corner, credit unions must use technology to their advantage, since it represents a phenomenal opportunity to improve efficiencies, manage costs, and streamline operations.
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.
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.