Abstract: El Hospital Sant Joan de Déu, uno de los hospitales más importantes de España, recurrió a Polymita para crear su web corporativa, una intranet personalizada para cada uno de sus trabajadores y automatizar sus procesos internos. Las soluciones BPM y ECM de Polymita llevaron al hospital a ganar el Premio al Mejor Portal del Empleado, y a lograr una gestión unificada de personas, procesos y contenidos.

Abstract: A non-profit hospital needed to protect its critical clinical systems without either interrupting system availability or overloading the small IT security team. The hospital had to overcome several vulnerabilities, such as the fact that some clinical systems could not be patched due to Food and Drug Administration (FDA) regulations. Find out how a server security solution helped the hospital address these challenges.

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: 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: 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: Customers are the lifeblood of any business, and receiving quality customer service is a major factor in their purchasing decisions. There are six key elements that can help distinguish your organization’s product or service from your competitors. By applying these key elements, you can unlock the lifetime value of your customers and build an outstanding referral platform for future growth.

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: University of Wisconsin Hospital and Clinics (UWHC) had never suffered from a shortage of data sources. But the executives felt it wasn’t effectively using this data to make decisions—leading the university to seek a solution that would help it rise above the data confusion. With an automated dashboard system from ActiveStrategy, the UWHC has aggregated its data and can now focus on issues that will help move its strategy forward.

Abstract: Sant Joan de Déu Hospital is one of the most important hospitals in Spain, and specializes in pediatrics and women’s medicine. Because of its status, it needed to find a way to automate its internal processes and develop a corporate portal for patients and health professionals. Since deploying a business process management (BPM) solution, Sant Joan has increased accessibility and created autonomy within its departments.

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.

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: 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: Copper Mountain debuts a Multi-mode Asymmetric Digital Subscriber Line (ADSL) line card. This line card will deliver voice and data service simultaneously over a standard plain old telephone service (POTS) line.

Abstract: No doubt about it: the project manager is essential for the successful completion of any project. But supporting the project manager—and the goal of reaching the target within the defined time and budget frame—is a solid project management system. Discover the vital elements of project planning and management, and how you can optimize communication by standardizing information formats in a project management system.

Abstract: Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

Abstract: In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.