Documents » business intelligence selections documentations.
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: 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: 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: 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: 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.
Abstract: When it comes to marketing, sales and customer service there’s no question that the second approach delivers higher value—especially in an age when companies are combating unprecedented competition while being forced to do more with less. The reality is this: choose the second example or risk being second best. This white paper explores why actionable business intelligence is so critical in today’s business environment and how Maximizer Software’s customer relationship management (CRM) solution can be used to deliver actionable intelligence when and where it’s needed most.
Abstract: No matter the size of your company, you need critical business information and integrated reporting. Small to medium enterprises (SMEs) shouldn’t discount the importance of business intelligence (BI). In fact, most SME owners make decisions based on a best guess, and don’t know the value of business intelligence (BI) systems. But you don’t have to empty your coffers—new BI software is Web-based and affordable. Learn more.
Abstract: If you’re considering investing in business intelligence (BI) software, you need to know about the features and functionalities BI solutions offer, and how to use them to improve your business performance. The Oracle Business Intelligence Suite Enterprise Edition Plus (OBIEE Plus) is a suite of BI products with a range of capabilities. Find out if OBIEE Plus offers your company the BI tools you need.
Abstract: QlikTech develops and provides a complete suite of powerful business intelligence and data analysis software called QlikView (pronounced click-view). QlikView’s powerful business intelligence and analytics engine is utilizing patented AQL technology to build a non-relational, highly space-efficient associative database residing in RAM. This results in interactive, easy-to-use business analytics applications that are considerably more flexible and faster to deploy compared with traditional business intelligence and OLAP solutions. The purpose of this paper is to provide an introduction to the QlikView user interface and descriptions of the various features that set QlikView apart from other database interfaces.
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: 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: 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: 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: 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.