Documents » abtracts on total quality management projects.
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: 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: Companies are under huge pressure to cut all SAP-related costs and are seeking every opportunity to exploit their huge investments in SAP to reduce total business expenses. A survey of 18 respondents reveals how companies are seeing the potential to squeeze further costs savings by exploiting SAP software investments, especially in enterprise resource management (ERP) and supply chain business process areas. Learn more.
Abstract: In construction and services, matching the right people to the right projects is mission-critical if those projects are to show actual profits. But determining profitability takes time—not a common commodity today. What’s needed are tools to track, identify, and report all contract and project activity—an integrated view of all job details, including the critical factors that determine profitability.
Abstract: When IT projects are completed and systems are delivered, they don’t just disappear. Completed projects can be described in various ways: investments, assets, operational applications, and so on. Whatever they’re called, they typically require continuing investments of resource time, effort, and dollars to maintain, fix, and upgrade. In fact, the post-project delivery lifecycle effort is critical to an IT organization.
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: The Total Cost of Ownership (TCO) is the present value of all costs incurred during the life of a product or service (source: "The Supply Chain Cost Management: The AIM & Drive Process for Achieving Extraordinary Results", by Jimmy Anklesaria). Total Cost of Ownership (TCO) is a comprehensive set of methodologies, models and tools to help organizations better measure and manage their IT investments (source: Gartner).
Abstract: Computerized maintenance management system (CMMS). Enterprise asset management (EAM) system. Computer-aided facilities management (CAFM) system. Integrated workplace management system (IWMS). Each type of facility management solution offers different functionalities and features, and one may be better than another for your company’s needs. Learn more about the differences and how an integrated solution is a “must have.”
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: Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.
Abstract: Learn how Cubic Defense Systems improved their overall product quality and government compliance, while conforming to support mission-critical processes by using Cincom's integrated quality management solution.
Abstract: Managing huge volumes of customer e-mail can be a daunting challenge. Indeed, for organizations that deal with a high volume of e-mail, shaving seconds off average e-mail response time can save hundreds of thousands of dollars. The key to managing this influx is to reduce average total e-mail response time. Learn about the three components of total e-mail response time, and find out how you can improve in each of these areas.