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: Today’s mobile software companies face a daunting challenge: How can they achieve
quality while getting to market swiftly? After all, speed is king in the mobile market. The trade-off between speed and
quality in mobile software development is an illusion—or should be. Get a closer look at the situation with a framework that presents a way to use
quality assurance (QA) processes to accelerate development.
PubDate: 10/20/2009 8:01:00 AM
Abstract: Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.
Abstract: When your quality control plan is complex because there are many features to control—and it involves many people—you need to pay special attention to your quality control process. Also, a complex plan places high demands on your software solution. Discover how an online integrated factory information system can work across production, job tracking, spoilage, and quality to support all of your quality control processes.
Abstract: Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.
Abstract: Quality does not start at the receiving dock and end at the shipping dock. The focus on the supply chain demands that the quality department be involved from the beginning to the end of the supply chain.
Abstract: Organizations are beginning to wake up to the fact that the data they collect and manage should be viewed as a corporate asset. Data is the one thing that separates you from your competitors—and the quality of your data can be your competitive advantage or disadvantage. Discover six key steps you can take and put into effect to help you realize a tangible return on investment (ROI) on your data quality initiative.
Abstract: In today’s global market, providing quality products and services is essential for any manufacturer’s continued growth—but maintaining a competitive edge is not always easy. For success, quality awareness must begin at the conception of the product and continue throughout the various stages of its development. To improve in this area, many manufacturers are now adopting the total quality management (TQM) approach.
Abstract: In today’s world, current and future customers are interested to know whether or not you have implemented a quality control system. Some customers will demand International Organization for Standards (ISO) certification, and others may just ask about it. Whatever their requirements, having a quality control system assures your customers that the products and services you offer are of high quality.
Abstract: Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.
Abstract: Supplier performance management in the mass merchandising market is undergoing a renaissance of sorts. Increasingly, retailers are deploying vendor scorecards as a means of better aligning their supplier network with their corporate direction. Suppliers need to consider the implications and begin preparing for this or face considerable risk.
Abstract: Supplier Logistics Management is leveraging technology and supplier relationships to gain competitive advantage.
Abstract: Properly implemented supplier relationship management solutions can help companies overcome some of today's business challenges by allowing them to restructure their supply chains, align business processes, define and establish company-supplier relationships, and integrate information systems to share information with suppliers.
Abstract: If you’re looking to rein in your supply chain costs, you may want to consider an electronic “source-to-settle” enterprise application—particularly the crucial supplier interface portal. This portal provides many business benefits, but you need to be aware of the “dirty little secret” vendors won’t tell you about: they get the system up and running, but direct supplier integration is often only an afterthought.
Abstract: GNX Supplier Performance Management is a web-based application that enables companies to establish, track and report performance metrics for a large supplier base, with a collaborative platform to proactively resolve and avoid problems.
Abstract: In asset-intensive industries, the need for an overall equipment efficiency (OEE) system is driven by the need to capture real-time information. When equipment operation data is automatically collected and refined by the operator, the quality and quantity of data, and the ability to access and analyze it in a specific manner can greatly help to reduce costs and maximize productivity.
Abstract: Manufacturers looking to optimize production processes are turning to overall equipment effectiveness (OEE) measurement and analysis in order to reduce lost production time and improve performance. OEE sheds light on the percentage of production time that is truly productive, using the latest advances in sophisticated measurement and analysis tools. Discover how OEE can help you increase efficiency and profitability.
Abstract: Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.
Abstract: As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.
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.