Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted ERP knowledge bases, allows organizations to save time and money, achieving better and more reliable/fully-documented decisions, a quantum improvement over the widely-used subjective process of selecting complex enterprise software...

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: Some managers have concluded that strategic planning is nothing more than an exercise in futility, to be taken out and dusted off at annual meetings. However, strategic planning can still help direct your company and improve earnings. The trick is strategizing well—which means having all the information you need, when you need it. Find out how to hone your competitive edge with integrated business planning capabilities.

Abstract: Dynamic efficiencies can help companies combat margin erosion and cope with compressed product lifecycles. By shifting from advanced planning to adaptive planning, enterprises can increase their top and bottom line. Integrating the demand planning network, optimizing the supply chain network, and strengthening execution planning will help this move to adaptive planning and eliminate pockets of waste.

Abstract: Supply chain planning involves functions such as demand forecasting and planning, distribution inventory planning, and plant capacity planning and scheduling. The right mix of strategy, education, and systems can have a very high impact on a manufacturer’s overall operations—and ultimately its bottom line. Understand how supply chain functions such as demand and inventory planning can positively impact your company.

Abstract: Regardless of their functional or departmental roles, people participate in multiple planning activities. The objective of integrated business planning is to bring together and improve the accuracy of the disparate strands of forward-looking activities across a corporation in order to foster internal alignment and enhance agility. Discover what you can do to improve your company’s planning and budgeting activities.

Abstract: Once reserved for the upper echelons of senior management, succession planning is being redefined as a key component of board-level strategy. But if succession planning was easy, everyone would be doing it. The problem that exists today is that succession planning is barely automated, let alone optimized. This chief executive officer (CEO) guide provides five key tips for jump-starting your succession planning efforts.

Abstract: The requirement that enterprise software vendors deliver a measurable return on investment (ROI) has never been greater than right now. Customers are demanding that ROI analysis be a critical factor in their decisions to acquire new enterprise software. Without a demonstrable return, few customers are willing to invest scarce capital and human resources in new enterprirse software. A more complete analysis of return can be had by looking at the overall payback that enterprise software can offer to a company. Enterprise software payback includes not only quantifiable improvements in bottom and top line functionality, but also more qualitative measures-—such as new business opportunities, improved customer and partner relations, and improved time to market—-that contribute significantly to the success of a company's enterprise software implementation and use.

Abstract: Effective resource management not only impacts profitability, it generates loyalty that translates to competitive advantages in recruiting and retaining the best people. System inefficiencies, however, often make it difficult for businesses to find time to improve their resource management processes or upgrade their systems. Find out how these five steps can help your business in its resource management planning efforts.

Abstract: Counterfeit medicine is a major threat to the pharmaceutical industry. Seven percent of the medicine worldwide is counterfeit; however, advances in packaging and labeling technologies are coming to the industry’s aid. Pharmaceutical companies are using pilot projects to help labeling implementations throughout the supply chain to increase the availability of safe, licensed medicine and thwart the underground drug market.

Abstract: Hendrix Wire & Cable, an underground power distribution product manufacturer, had a highly functional in-house-developed system that fit its manufacturing environment. However, it was expensive to support and maintain. Management wanted to establish a foundation to support planned e-commerce initiatives and provide better visibility and executive decision support. And above all, they wanted to lower the company’s IT-related costs.

Abstract: The S&OP game plans drive coordination of supply chain activities based on planning calculations. The primary coordination engine-termed the master scheduling task-generates a set of requirements data and suggested action messages, and the system supports multiple sets of requirements data for simulation purposes. Further explanation starts with a review of all demands and supplies considered by planning logic, and then proceeds to an overview of the planning calculations.

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: To provide useful financial insight on projects, financial managers need to think about business strategy more like a series of options than a single projected cash flow. While the concepts of options are certainly familiar to most executives, the trick to valuing strategic choices lies in the complex and often overwhelming task of understanding the interaction between strategic options. This article provides a breakthrough planning approach for (1) rapidly realizing the business capabilities dictated by strategy (2) aligning process, technology and organization design and (3) through the financial lens of 'real options' shows how to quan

Abstract: System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.