Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted EAM 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: Customizing third-party “vendor” source code is becoming increasingly common. But managing the incorporation of vendor application releases alongside customizations requires an additional layer of software configuration management (SCM) to integrate subsequent vendor releases. Traditional branch-based SCM tools require an unnecessarily complex branch-and-merge process. However, there is a more intuitive and efficient parallel development model for managing customizations to vendor code.

Abstract: Most software configuration management (SCM) systems rely on metadata annotations to support basic system operations, such as computing the contents of software configurations. With AccuRev, configurations are first-class objects called 'streams,' whose contents aren't defined in terms of metadata annotations at all. AccuRev relies on the chronology of SCM operations, enabling users to leverage the incremental nature of the process.

Abstract: After testing procedures have been created and the type of test data has been determined, link or string testing, and system testing must be executed to ensure the job stream is correct and to locate errors before production. Backup and restart testing must be also be conducted to ensure that the restart points within the system are accurately defined. Finally, to demonstrate the benefits and functionality of the system, management and user approval should be received.

Abstract: Improved service management boosts revenue from both service offerings and new product sales, while improved customer service and enhanced offerings increase customer retention, and draw new service business, providing an additional, low risk and likely repeated revenue stream over a long period of ownership.

Abstract: Despite the user preference for a single, 'one-stop shop' vendor, componentized software products, interoperability standards and Internet technology will lead to fewer large-scale projects and an ongoing stream of smaller ones, all with tangible return on investment (ROI) rationale. Although not necessarily a panacea, what makes Model Based Architecture different is that it is practical approach, which is changing some of the basic rules and paradigms of software development.

Abstract: Lean manufacturing is a transformational exercise that requires an organization to cast aside long-held beliefs and business processes. The five main steps to achieving lean transition are defining value, mapping the value stream, making the activities flow, responding to customer demand, and continuous improvement.

Abstract: As enterprise applications systems developed over time, a continuous stream of new terminology surfaced. This is a glossary of those terms.

Abstract: As enterprise applications systems developed over time, a continuous stream of new terminology surfaced. This is a glossary of those terms.

Abstract: Quantros, an application service provider (ASP), required a secure network and maximal uptime, but with a small IT department and a small budget. The challenges were to implement and enforce sound security policies and to keep up with the stream of vendor patches. A server solution that fixes vulnerabilities at the root cause and eliminates the need to hastily install patches increased server protection. Find out how.

Abstract: A recent study by Jupiter Research found that e-mail marketers using Web analytics click-stream data to generate targeted e-mail campaigns produce an impressive average click-through rate of 14 percent, and a conversion rate of 3.9 percent. Can your business claim numbers this high? If not, find out how you can with Web analytics tools that will help you gain insight on your subscribers’ behaviors while increasing sales.

Abstract: The need for innovation is gaining prominence on the executive agenda. But, just how do organizations identify the most promising ideas and translate these ideas into successful products? Learn the answer to this question by examining how leading companies empower their innovators with tools and strategies that allow them to leverage ideas and knowledge to develop a steady stream of new and profitable products.

Abstract: Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.

Abstract: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

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: You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of bad data are all offered in this paper.

Abstract: Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

Abstract: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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.