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: Given ever-increasing regulatory pressures, document life cycle management is clearly an issue every enterprise must resolve. Until now, documents stored on local machines and e-mailed outside the organization have presented a particularly thorny challenge. Fortunately, new technologies make it possible to extend document life cycle management to the desktop and enforce document retention policies across every computer in the enterprise.
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: Perhaps the most-asked question when considering document management solutions is “How do I scan my paper documents quickly and efficiently?” Companies contemplating document management or electronic archiving of paper-based information must learn the options and find out what works best for them. Read these guidelines for getting started with the scanning process, often referred to as document capture or simply capture.
Abstract: Any process that takes place involves workflow. Whether that process is limited to a single individual or multiple people, a series of steps is completed during the workflow process. How can you streamline the document workflow process? Review workflow related to document processes in a business environment and discover improvements that can enhance the efficiency of these processes using document management technology.
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: Many companies spend an inordinate amount of time and money ensuring their documentation meets regulatory standards. But in order to streamline the document submission process in a cost-effective manner, companies should adopt document management technologies coupled with collaborative document transformation tools. Learn how these tools can help your company accelerate its submission-compliant document workflows.
Abstract: Most document security companies concern themselves solely with the prevention of unauthorized access to content. Online publishers, on the other hand, struggle to find a balance between document security and a satisfactory reader experience. A new approach to document security can give online content publishers the ability to protect their content without adding unnecessary complexity to document access. Learn more.
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: 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.
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: To realize the full benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it, and how to keep it clean. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.