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Abstract: One of the greatest challenges facing organizations is the
protection of corporate
data. The issues complicating
data protection are compounded by increased demand for
data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about
data protection strategies that can help organizations meet these demands while maintaining flat budgets.
PubDate: 4/29/2010 4:10:00 PM
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: Data Protection Manager is designed to provide continuous data protection for servers. A virtual tape library solution with de-duplication complements Microsoft DPM 2007, and together they can meet the data protection and recovery challenges of both Windows and non-Windows environments. Find out how these technologies work together to provide continuous data protection and recovery for enterprises of all sizes.
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: Chances are, if you’re backing up your data, you’re using backup tape as your solution. But advances in data management technologies are making disk-to-disk (D2D) backup a vital component of any sane data protection strategy. In fact, D2D backup provides answers to the challenges threatening traditional tape backup strategies. Find out how to evaluate the different advanced data protection solutions available on the market today.
Abstract: High-profile cyber-attacks are imprinted in the enterprise security worldview, and for good reason. Enterprises without sound intrusion prevention strategies across the three threat dimensions—undesired access, malicious content, and rate-based attacks—are exposed to unacceptable risks, especially from hybrid attacks. However, a three-dimensional protection (3DP) approach provides protection for clients, servers, and network infrastructure, while maximizing bandwidth for mission-critical traffic.
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.
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: Successful business operations hinge on a company’s ability to maintain a high level of data availability. Database applications, such as Oracle, demand advanced data storage management to optimize application and data availability, as well as storage management capabilities. Discover a solution that can help deliver an enhanced backup, restore, and recovery regime that protects your vital data from soft and hard errors.
Abstract: Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.
Abstract: To retain the integrity and availability of your key operational data, your server infrastructure must provide effective data backup and recovery. When used with a storage area network (SAN), a data protection manager (DPM) can help increase your storage space, reduce time needed to create backup, and allow for quick recovery of data when disaster strikes. Learn more about this scalable and cost-effective solution.
Abstract: Data loss can be damaging to a business—hurting short-term stock prices, impacting customer relationships, and reducing revenues. As more companies conduct business via network communication, the need to protect their customer data and intellectual property becomes greater. With a data protection solution, organizations can secure their data in motion—without introducing unmanageable cost and complexity into the network.
Abstract: Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.
Abstract: The Sarbanes-Oxley Act (SOX) regulates the storage and management of corporate financial data for all Registered Public Accounting Firms and many publicly held companies. Which SOX regulations affect data backup in your company—and how can a remote data backup solution help you comply? Find out, with an explanation of various sections of the SOX act, matched with key remote data backup functionality.