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Abstract: Master data is instrumental in determining how an organization produces, buys, and sells its goods and services. Inaccurate
master data can lead to improper business decisions, loss of revenue, and noncompliance with regulatory and quality mandates. Find out how an Enterprise data management (EDM) strategy can help your company avoid these pitfalls by achieving clean, consolidated, and consistent
master data.
PubDate: 10/23/2008 12:50:00 PM
Abstract: In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.
Abstract: Channel master business is good. Everyone likes increased volume. But the impact of this business can be bad for the bottom line. How can manufacturers meet the demands of the channel master and preserve their business?
Abstract: Master data management (MDM) solutions are not new. But what is new is that companies are realizing that master data needs to be managed and integrated outside of the traditional business transaction and business intelligence (BI) environments. Learn more about the current status of MDM, and get suggestions for planning, building, and deploying an MDM environment that can work in conjunction with BI tools.
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: You may not have heard of master data management (MDM), but it can help an organization cut costs while strengthening its sales and marketing efforts. Find out how MDM can help boost your company's bottom line in this latest podcast.
Abstract: Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called reference data). MDM provides processes for consolidation, quality assurance, and distribution of such data throughout a company to ensure consistency and control in the ongoing maintenance and use of this information. Discover the benefits of an MDM system.
Abstract: It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your organization.
Abstract: Inadequate data management, the result of a system that hasn’t been properly integrated—or that can’t be integrated—has serious ramifications on customer management and service, especially in financial services and health care. Master data management (MDM) solutions allow key customer data integration. Accuracy is one of the four elements vital to the success of MDM. Before implementation, learn about the other three.
Abstract: Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.
Abstract: Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.
Abstract: Information management, which includes both data and content management, is an essential element of service-oriented architecture (SOA). Taking a service-oriented approach to information data can thus help you achieve greater value from your information assets. Implementing master data management (MDM) services can provide a multiplier effect, by delivering high-value business services over and above information integration services.
Abstract: While the idea of enterprise-wide data management is conceptually simple, it is extremely difficult to implement in most organizations, due to differences between heterogeneous databases and applications. However, conventional integration software is not required to achieve consistent management of customer data. In fact, integration appliance technology can greatly simplify and reduce the cost of master data management (MDM).
Abstract: Data centers have grown rapidly in size and complexity. At the same time, competitive and economic pressures have made cost control critical. To cut costs and meet service level objectives, organizations of all sizes are initiating projects to simplify IT, consolidate resources, and increase energy efficiency. Discover why companies are turning to virtualization to master these and other data management challenges.
Abstract: The textile industry is famous for its very different characteristics when compared to industries in either process or discrete manufacturing. Developing production planning and scheduling software for any textile mill is a real challenge even for seasoned industry experts. This article focuses on some of the unique challenges posed to master requirement planning and master production scheduling (MRP / MPS) software vendors by the textile industry.
Abstract: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.
Abstract: Compaq rises, IBM falls, but Dell remains master of the desktop domain.
Abstract: Database and enterprise application vendor Oracle has streamlined itself, overcome the hardships of the past and seems prepared and eager for the future. We express our view regarding its latest announcements.
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.