Abstract: Integrating full-text and fielded data searches can help you find essential information more easily. Whether your existing metadata fields reside within a document or are stored in a separate database, a search index can combine full-text and fielded data dynamically. This allows multiple users to search the same documents with a single index—and a single user to integrate two searches in one query.

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: 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.

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: 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: Network-level behaviors can impact the determinism of call admission control decisions for a particular bandwidth management deployment. However, different network routing and forwarding models can have different impacts when used in conjunction with the bandwidth manager. We examine these models, considering their ability to provide the deterministic admission control capabilities available within the public switched telephone network (PSTN).

Abstract: Electronic product code information services (EPCIS) is a standard mechanism for inter-company collaboration and data sharing, which can enable health care partners to deploy solutions that meet short-term mandates driven by patient safety, as well as lay the foundation for long-term business value. Learn more about the impact of EPCIS in a study concerning data management and data sharing in the health care supply chain.

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: 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: 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: 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: 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.

Abstract: A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you can create a routine that archives files you select for backup and storage.

Abstract: Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help.

Abstract: For business everywhere, the growth in the Internet has resulted in an enormous challenge to effectively and affordably manage, store, and archive digital files. In small to medium businesses (SMBs), solutions to store and manage digital files are often on a PC server or external hard drive—which can limit growth. SMBs should look for a storage and file management solution that allows for incremental growth. Find out why.