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Help Desk for the Health Care Industry
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Documents related to » important technical data


Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

important technical data  two factors are particularly important when quantifying MDM''s value: the number of types of data and the range of uses for the data. Volume of Entities As noted earlier, your organization''s primary data entities generally are customers, products, employees, and suppliers. As the volume of data in any or all of these grows, the importance and complexity of managing the data increase. For example, wholesale distribution companies may sell hundreds of thousands or even millions of different products. Read More...
Why .NET Technology Is Important for ERP
.NET technology is a wake-up call, and some people are sleeping through it! Remaining competitive means mission-critical software systems, such as enterprise

important technical data  Why .NET Technology is Important for ERP ERP is also known as: erp software.net framework-based user interface , erp technology platforms , manufacturing.net profiles technology , erp software, visibility.net , net erp , erp move .net , erp-link services , .net technology plus sap , erp crm implementation , erp technical information , free erp module asp.net , tools and technology examples for erp , intuitive erp , erp dynamics software , erp and microsoft .net resources , manufacturing erp program , erp Read More...
About Big Data
There may not be a consensus with respect to just how big

important technical data  scenarios, which is extremely important for building better analytic solutions and improving existing ones, as well as performing analysis on the go There’s also an economic angle to the big data hype. A corporate data warehouse can rapidly become expensive as the data volume increases. Scaling a data warehouse can be a burden when you’re dealing with such volumes. Meanwhile, some big data providers can produce solutions not only that are cheaper from the get go, but which can be escalated, adapted, Read More...
Planning Horizon of a Technical Personnel Management System
Airlines struggle every day to reduce costs, maintain the level of customer service, and have more efficient processes, and this puts more pressure on line

important technical data  benefits, and the most important are Automatic allocation . Once all the parameters are fed into the system, the supervisor can validate or correct allocations in a few minutes; he or she does not have to worry about creating work teams or knowing the technicians'' availability, because allocations will only contain those technicians that are available at that moment. Agility in providing solutions . The system can perform changes to the allocations in less time than a supervisors, and can generate proposa Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

important technical data  applications have played as important a part as Moore''s law for decades. A vast amount of that information is shared. By 2013 the amount of traffic flowing over the internet annually will reach 667 exabytes, according to Cisco, a maker of communications gear. And the quantity of data continues to grow faster than the ability of the network to carry it all. People have long groused that they were swamped by information. Back in 1917 the manager of a Connecticut manufacturing firm complained about the Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

important technical data  and gives them an important opportunity to look for signs of exposure or potential compromise. Likewise, the only way to be sure a network is secure is to test its security using a battery of scans and activities to probe all its defenses, and to check compliance with applicable rules, regulations, standards and best practices. Every element in the PCI DSS includes detailed testing procedures that explain what must be checked, what should be found and what kinds of defaults must be in place. Specific Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

important technical data  data quality assurance plan,data quality assurance process,data quality assurance techniques,data quality attributes,data quality audit,data quality audits,data quality benefits,data quality best practices,data quality blog,data quality books,data quality business intelligence,data quality campaign,data quality center,data quality certification,data quality challenges Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

important technical data   Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

important technical data  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center physical infrastructure, data center infrastructure outsourcing 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

important technical data   Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

important technical data  effort. But perhaps most important is the shift in strategic perspective for a team focused on integration, data migration isn''t about getting one project done as quickly and efficiently as possible. It''s about coming up with the wisest way of managing and leveraging a key enterprise resource. The team''s design decisions, resource allocations, and prioritizations reflect the needs of the enterprise as a whole, not just the requirements of the immediate project at hand. Use Case Scenario Consolidate and Read More...
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

important technical data  peak rack power. The important ratio of the actual peak-to-average rack power within a row will therefore always be greater than or equal to one. It is instructive to consider a number of alternative methods to specify power density for a row design that will support a known collection of racks of various per-rack power consumptions. Design all racks in row to peak . One approach to specifying a row density would be to specify that any and all racks in the row have a power and cooling density capable of t 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

important technical data  data profiler,data cleansing software,data profiling tool,data warehouse software,data quality software,data hygiene,data quality tools,ascential etl,data quality tool,etl software,data cleansing tools,ascential datastage,data profiling tools,datastage job,data warehousing software Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

important technical data  others. One of the important players in this fierce and competitive space is Kognitio , a company founded in 2005 with headquarters in Bracknell, United Kingdom, and offices in the United States in Chicago, New York, and Minneapolis. Kognitio is a provider of data warehouse and business intelligence (BI) systems that incorporate in-memory , massively parallel processing (MPP), as well as an interesting virtual online analytical processing (OLAP) cube solution. We had the pleasure of interviewing Roger Read More...

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