Abstract: Most of the manufacturing software vendors have planning and scheduling software which assume either infinite production capacity for calculating quantities of raw material and work in progress (WIP) requirements or infinite quantities of raw and WIP materials for calculating production capacity. There are many problems with this approach. This paper discusses the pitfalls of this approach and how to avoid these by making sure that the software you buy indeed takes into account finite quantities of required materials as well as finite capacities of work centers in your manufacturing facility.

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: In the world of Web-based business intelligence (BI), mashups combine two or more data sources in a single feature. Mashups are among the innovations that help spread BI wider and deeper across organizations. Known as “pervasive BI,” this concept hinges on offering features and applications that blend with—and navigate like—the familiar Web browser. Find out how pervasive BI can help your organization today.

Abstract: Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web-based BI applications, organizations must evaluate architecture, rather than features or functions. What differentiators do you need to look for before embarking on a full-scale BI implementation? And which vendors offer the solution your organization truly needs?

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.

Abstract: Business intelligence (BI) 2.0 is used more and more to refer to the next generation of BI solutions, which allow better access to information, and enable communication and collaboration amongst all users. But how is BI changing exactly? For one thing, BI 2.0 allows Web-based interactive reporting. Learn about other differences—and how BI 2.0 can make a difference in your organization’s data warehousing and other activities.

Abstract: Business intelligence (BI) tools are now affordable for midsize companies, and accessible to non-technical business users. Managers can use BI to analyze complex information and support their decision-making processes—combining data from many sources into an integrated, up-to-date view. Find out what midsize companies need to know to select the right BI product, the right BI vendor, and the right approach to BI.

Abstract: If you’re in the midst of evaluating business intelligence (BI) software, this datasheet sheds light on a BI solution based on a relational online analytical processing (ROLAP) architecture that can provide high scalability and interactivity. Find out more about ROLAP, as well as how BI solutions can support all levels of BI initiatives, including migration from departmental BI toward a more cohesive enterprise framework.

Abstract: Primarily due to rapid development of technology in the past thirty years, the market structure throughout the world has changed considerably. Local markets have become accessible to foreign manufacturers, who are able to perform well in their newly established territories in part due to their superior application of technology. In this light, most companies, including small and medium size, have embedded globalization in their expansion strategies, consistently seeking for new markets abroad. Consequently, local manufacturing companies are facing global competition, forcing them to adopt new concepts with respect to people, process and technologies. This document describes these approaches to production planning in detail as well outlines a software solution. The software solution (Production/3) combines both pull and push techniques and enables small to medium size organizations to fully automate their production system while retaining their investment in their legacy enterprise resource planning (ERP) systems.

Abstract: With a turnover of CHF 85 billion and 470 sites, Nestle is the world's largest food group. Learn how Nestle is able to plan its production and to accommodate finite capacity calculations in terms of manpower and material resources, strategic material availability, and through the significant production constraints of Nestle's different production environments.

Abstract: Enterprises understand the value of integration. One area that has been ignored is the plant. Plant systems and corporate systems must be complementary and leverage each other to provide their maximum value. Production intelligence provides both integration and valuable information which is not available in either type of system.

Abstract: In why bi is ripe for businesses of any size, you'll learn why the ideal time to consider a bi solution is now; and how new bi solutions for smbs a...

Abstract: Business intelligence (BI) and business performance management (BPM) are two disciplines that become critical as companies progress through the midsize stage. BI and BPM provide key capabilities that every midsize company should have, to answer fundamental questions about performance, now and in the future. Learn how your operations are affected by specific challenges—and how a BI/BPM solution can help address them.

Abstract: Traditional business intelligence (BI) solutions are becoming a thing of the past. Companies today are moving toward business solutions that can help maintain a competitive edge while empowering business executives across the enterprise. Operational BI is an approach that incorporates traditional BI best practices with the benefits of real-time information flow, resulting in more user-directed initiatives.

Abstract: For many years, business intelligence (BI) has proven to be invaluable for enhancing database information in the retail and banking sectors. But to be truly useful in the manufacturing sector, the manufacturing environment’s existing technology information structure needs to continually inform the BI system. This can now be accomplished more efficiently by embedding BI into the enterprise software itself.

Abstract: The software industry has witnessed a consolidation in the business intelligence (BI) market. In BI, enterprise technology conglomerates identified a growth market and an opportunity to upsell to their existing install base, primarily that of applications such as enterprise resource planning (ERP). This consolidation has rendered sole-sourcing BI from ERP vendors an alluring option for many organizations. Find out why.

Abstract: Business intelligence (BI) is a priority for many organizations, promising enhanced visibility and improved efficiencies. But for those with existing enterprise resource planning (ERP) systems, implementing or updating a BI program raises especially interesting challenges. This set of vendor-neutral articles outlines best practices for creating or optimizing BI programs that effectively leverage existing ERP investments.

Abstract: Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding BI without disrupting your company? Without breaking the bank? Without having to add staff members with specialties you’ve never even heard of before? This paper helps answer those questions, with practical advice for bringing BI into your midsize company.