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Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » technical data definition


SQL Server Technical Briefing
iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for

technical data definition  (iSCSI) (Wikipedia) SQL Server Technical Briefing - EqualLogic iSCSI SAN is also known as : iSCSI SAN , Internet Small Computer System Interface iSCSI , Internet Protocol Small Computer System Interface Storage Area Network , iSCSI IP SAN Solutions , iSCSI SAN Solutions , Internet Scsi , Storage Area Network SAN , SAN Protocol , Internet Protocol Small Computer System Interface , Computer Internet , iSCSI SAN Storage , SAN Solutions , iSCSI IP Network Storage , Improving SAN Performance Reliability , Read More...
Reliability Driven Maintenance--Closing the CMMS
The metric of plant maintenance should now be in the ability of the plant to meet the strategic goals of the company beyond customarily expected cost savings

technical data definition  in progress (WIP), shortened technical lifetime of equipment, etc. Thus, the 1980s and 1990s have evolved into the Fix it efficiently approach of planned maintenance, scheduled overhauls, and utilizing CMMS for improved efficiency and control. Associated with this approach is scheduled downtime, which is a planned shutdown of equipment or a plant to perform maintenance (or to adjust to softening demand). To that end, the concept of CMMS was introduced, and these systems have since been used to bring Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

technical data definition  very specific management and technical challenges. For example, a team that has been writing extraction, transformation, and load (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects Read More...
Six Misconceptions about Data Migration
A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how

technical data definition  staff possesses all the technical skills or that it has the workload capacity to handle data migration. Taking into consideration the skill set and workload of existing IT staff—keeping in mind that the team likely still needs to support the legacy system during implementation—may prevent bottlenecks that could delay project completion. Misconception # 3—Data migration is one of the last steps taken before you go live with the new system. Often it is assumed that because a company needs the most Read More...
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

technical data definition  edi systems | edi technical | edi technologies | edi technology | edi testing | edi tool | edi tools | edi transaction | edi transaction set | edi transactions | edi version | edi workflow | electronic data exchange | electronic data interchange | electronic data interchange software | emanio | engineering project management | enterprise application integration | enterprise data integration | enterprise integration software | functional testing | implement edi application integration requirements | Read More...
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

technical data definition  master data. At a technical level, you can indeed link new software solutions obtained in an acquisition, but fundamental incongruities between master data models routinely impede true integration at the business process level. OVERCOMING BARRIERS TO MASTER DATA MANAGEMENT EXCELLENCE To achieve effective master data management and improve operating performance, you must adopt a solution that addresses the following three elements: Master data consolidation means matching, normalizing, cleansing, and Read More...
National Technical Systems
National Technical Systems (NTS) is an engineering services company. NTS provides testing, certifications, product design consulting services, and supply chain

technical data definition  Technical Systems National Technical Systems (NTS) is an engineering services company. NTS provides testing, certifications, product design consulting services, and supply chain management solutions. Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

technical data definition  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users 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...

technical data definition  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you''ll learn how to save money by using less electricity—whether your data centers are still in the design st Read More...
A Definition of Data Warehousing
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

technical data definition  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

technical data definition  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. 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

technical data definition  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. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the

technical data definition  Community was created for non-technical users to design and automate personalized Web data monitoring and extraction applications. Its customers include McGraw-Hill , The Associated Press , and Thomson Reuters .   Figure 3. Connotate—text and sentiment analysis   Agent Community uses a virtual set of process jobs called “intelligent agents” to monitor and collect Web content. These software agents can be customized―or “trained,” in Connotate’s lingo—using a simple point-and-click method Read More...
Technical Publications: Improving the Quality of Technical Publications Increases Employee Productivity and Customer Satisfaction
Improving the content of technical publications is possible with a product development system (PDS). A PDS solution can automate and optimize the technical

technical data definition  Improving the Quality of Technical Publications Increases Employee Productivity and Customer Satisfaction Improving the content of technical publications is possible with a product development system (PDS). A PDS solution can automate and optimize the technical publishing process and can end publication bottlenecks caused by launch delays due to poor process. A PDS solution allows for concurrent development of products and publications—keeping your engineering and publishing departments in sync. Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

technical data definition  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...

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