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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
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.
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
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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
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
Ask the Experts: Data Purging and System Migration
One reader recently wrote in with this question:
I mentioned, the old system will have valid data for some time. It may be that the switchover is done on a midnight when the decision taken is to remain on the live system, and not do a fall back. In this case, you will need to address the problem of what to do with your web site interfaces if something goes wrong. For this reason, you should only update these interfaces once you are sure the implementation is a success. (Yes, some go-lives fail the first time. This happens mainly with large systems
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
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.
Don''t Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect
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Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge
records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. 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
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.
Integrated business and ERP (Enterprise Resource Planning) software solutions for the food industry. Includes trace-ability, HACCP, production yields, recipe
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The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex
Data Governance is a system of decision rights and accountabilities for information-related processes. A data governance strategy goes beyond the use of an enterprise application such as a data warehouse or a change management system, or even an application to manage a data governance initiative; it involves the process of creating the necessary policies for information usage within an organization. Deploying a data governance initiative requires the creation of policies that align all the necessary
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
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
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The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to
of the air conditioning system for the data center is to efficiently capture this complex flow of waste heat and eject it from the room. Room-based cooling is the historical method for accomplishing data center cooling. In this approach, one or more air conditioning systems, working in parallel, push cool air into the data center while drawing out warmer ambient air. The basic principle of this approach is that the air conditioners not only provide raw cooling capacity, but they also serve as a large
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are
master data management (MDM) system that uses an accurate data matching process.
Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization
Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as
Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile
10 Golden Rules for Choosing an ERP System
10 Golden Rules for Choosing an ERP System can help you keep your selection project on time and on budget.
for Choosing an ERP System Choosing a new ERP solution? If you don''t plan carefully it may take longer—and cost more—than it needs to. 10 Golden Rules for Choosing an ERP System can help you keep your selection project on time and on budget. From gathering your requirements to comparing vendors and solutions to calculating total cost of ownership (TCO), you''ll find out what you need to do to make your selection process a success. Don''t risk getting bogged down in a long, expensive implementation.
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