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Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » system data


Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases

system data  be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more. Read More...
System Center Data Protection Manager (DPM) 2007
To retain the integrity and availability of your key operational data, your server infrastructure must provide effective data backup and recovery. When used

system data  Center Data Protection Manager (DPM) 2007 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. Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

system data  data in the current system and then migrate, or correct the data in the new system before bringing it online. Either action would require considerable work and demand changes to business processes and behaviors to ensure ongoing manufacturing productivity. Data Quality Control Every business application should be periodically assessed for data quality. It should be a quarterly effort to assure reliable processing and to maintain the value of business decisions made from data. Software tools such as Read More...
Augmenting Data Backup and Recovery with System-level Protection
File-level recovery on its own is an incomplete strategy when it comes to meeting stringent recovery time objectives (RTOs) for complete system recovery. This

system data  objectives (RTOs) for complete system recovery. This paper investigates what’s at risk, where system-level recovery fits relative to current data protection approaches, the impact of system-level recovery on your IT department’s ability to meet RTOs, and the potential of system-level recovery to reduce costs. Read More...
Benefits of Using a Master Data Management System
Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called

system data  a Master Data Management System Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called reference data). MDM provides processes for consolidation, quality assurance, and distribution of such data throughout a company to ensure consistency and control in the ongoing maintenance and use of this information. Discover the benefits of an MDM system. Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

system data  data cleansing business rules system can be utilized to consistently fix data errors and prepare for publication to other operational systems. Beyond these powerful, automatic cleansing functions, epaCUBE helps establish the business processes necessary for long-term success with data cleansing. The epaCUBE system provides the capability to set up workflows to automatically route data cleansing issues and problems to the assigned user role responsible for fixing the issue. Workflow guides the users and Read More...
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

system data  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

system data  current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

system data  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you''ll learn how to save money by using less electricitywhether your data cente...

system data  and lighting equipment why system design is the most important factor in determining the efficiency of a data center In today''s tough economy, you need to look at every energy and money saving option at your disposal. Find out what you need to know about running an energy-efficient data center. Download your PDF copy of Implementing Energy-efficient Data Centers today.   For assistance, please contact customer service. Hours: 8:00 AM to 5:30 PM EST. Phone: 514-954-3665, ext. 367. Special Offer Files Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

system data  also to data and system management tasks as well. This enables the tasks associated with a data quality program to be deployed as a set of services that can be called dynamically by applications (see Figure 4). This allows business rules for data quality enforcement to be moved outside of applications and applied universally at a business process level, rather than at the individual application level. These services can be called proactively by applications as data is entered into an application system, Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

system data  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
9 Important Business Phone System Buyer Questions
Learn about the most important factors that go into buying the right phone system, such as scalability, compatibilities, how to negotiate pricing, and more

system data  Important Business Phone System Buyer Questions Learn about the most important factors that go into buying the right phone system, such as scalability, compatibilities, how to negotiate pricing, and more. This white paper and demo are designed to help you be an informed buyer. Whether yours is a small, medium, or large-sized business, you’ll want to know the nine key questions to ask sales reps to get the best deal on the right phone system for your needs. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

system data  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

system data  has established a team-based system pitting development against QA. Development competes based on how fast they can fix a bug, and how low they can keep the bug count. QA competes on the basis of how many bugs they can find. This is a good way to encourage higher quality software when the product is finally released. Market Impact There are currently few competitors in this market space. MetaRecon is similar in functionality to the Axio Suite from Evoke Software (for more information about Evoke''s Read More...

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