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Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes
the ratio of hard data to human knowledge that is available for decision making. Figure 1 . Integration of EAM and reliability-centered maintenance On performing analysis, the structured approach within the decision diagram drives RCM analysts to develop an asset management program that is practical, cost effective, and tailored to a given level of performance and risk. There are two main outputs for any correctly performed analysis. The first is one-off changes to procedures, software, asset
Core PLM--Product Data Management - Discrete RFI/RFP Template
Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology
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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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Benefits and Methods of SAN Extension Using QLogic Switches and Routers
Realize the benefits of storage area networks (SANs) by using public or private networks. The benefits of SANs include centralized data management, back up, and
of SANs include centralized data management, back up, and restoration of data, as well as remote archiving for disaster recovery and business continuity. Host bus adapters (HBAs), switches, and multiprotocol routers are the keys to the fibre channel network—and the high-quality of select remote sites.
Robert Morris University Subscribes to UNIT4 Agresso Cloud ERP
Robert Morris University (RMU) recently selected the Agresso ERP system by UNIT4. The $1.5 million software–as-a-service (SaaS) agreement includes access to a
elasticity, completeness/maturity, and immediate data restoration capabilities that are not often offered by other cloud software providers.
Ventyx-Utilities’ One-Stop-Shop Provider?
In 2012, there is still no such thing as a true “total solution provider” for energy and utility companies. These companies just have too many needs across the
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United Messaging ~ Ready…Set…Outsource!
We believe that within a 3 year time frame, the outsourced corporate messaging market will capture 25% of the existing install base, which sizes the ASP
45 minutes while the data store is in use, with estimated restore time of 2 hours. The additional hour and a quarter is a result of restoration process and integrity checking. Given the disaster recovery scenario and the SLA agreement of 99.5%, the configuration allows for one outage per month. United Messaging plans to host multiple small organizations and up to 3,000 users per Microsoft Exchange server. UM is able to do this through several components, first the high-speed disk storage coupled with
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data
Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but
Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as
Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data.
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
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Data Management Wish List: IT Is Open to Big Changes
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Meet PCI DSS Compliance Requirements for Test Data with Data Masking
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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.
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased
Data Protection Strategies 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.
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet
A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.
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