Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted 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: The growing list of regulations for protecting data in virtually every size organization and industry means enterprises are being pressed hard to find effective, affordable, encryption technologies. Identity-based encryption has a greater advantage over traditional approaches to public key cryptography. It ensures the security of encrypted e-mails while minimizing the burden on end users.

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: Tecna es una empresa de Ingeniería con 30 años en el mercado del gas y el petróleo, que ha tenido un crecimiento exponencial que generó la necesidad de contar con un software de gerencia de RRHH que permita no sólo pagar los sueldos sino también gerenciar con una herramienta probada en el mercado los recursos humanos de la compañía.

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: Companies want to manage security risks and encryption to protect data and to comply with industry guidelines. The desire to separate network management from document ownership can create additional security concerns, as IT services are outsourced. To address these issues, you need to ensure your security solution provides visible and on-going encryption of sensitive data files shared on your networks. Learn more.

Abstract: Heightened awareness of vulnerabilities in sensitive stored data has resulted in the increased application of encryption technology. To secure data at rest, a well-defined process for handling the keys used to encrypt data—as well as the keys used to safeguard the data encryption keys—is essential. With the proper key management controls in place, companies can ensure that data is effectively secured and recoverable.

Abstract: As a bedrock element of any sound corporate data protection strategy, encryption protects valuable company data, whether it is at rest, in transit, or in use. Advanced encryption algorithms coupled with faster processors now make it possible to transparently encrypt and decrypt entire drive volumes, massive amounts of data on storage area networks (SANs), and other large-volume data stores.

Abstract: Teamwork requires data to be shared, but security must be maintained. Folder encryption is an essential part of corporate security and protecting intellectual property. Secure Folder can provide a secure electronic workstation. Files and folders can be secured for users’ personal use, or configured so they are available for the shared, exclusive use of a selective group. Find out more about a desktop encryption solution.

Abstract: Data auditing and data encryption are two key Payment Card Industry (PCI) requirements for maintaining cardholder data protection. Although the two capabilities are distinct, they’re also synergistic—in fact, PCI recommends using data auditing as a substitute for encryption. Learn more about an auditing and encryption solution that can help you make better decisions about protecting your and your clients’ sensitive data.

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: Oracle’s Accelerate is a program in which Certified and Certified Advantage partners build industry-specific solutions combining Oracle enterprise applications and rapid-implementation tools with the partners’ own expertise or software. The program aims to reduce the time, complexity, and cost of deploying Oracle solutions, to make them suitable for mid-market companies and governmental organizations. Learn more.

Abstract: Red Hat, Inc., and Dell Computer Corporation today extended their strategic alliance, with Dell committing to factory-install Red Hat Linux on all future and currently shipping Dell« PowerEdge« server models.

Abstract: Red Hat said that Intel plans to make Red Hat Linux software available on powerful server computers designed to run websites.

Abstract: Compaq Computer Corp. and Red Hat, Inc. announced that Compaq will provide call center support for the Red Hat Linux operating system.

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: Oracle is one of the first software companies to implement the Internet computing model for developing and deploying enterprise software across its entire product line. CRM and strategic procurement will be significant contributors to Oracle Applications sales revenue (up to 35% within next 3 years), where Oracle Business OnLine has a potential of reaching 15%-25% of total Oracle applications sales revenue within the next 5 years...

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.