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Product Lifecycle Management (PLM)
Product Lifecycle Management (PLM)
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development...
 

 technical data requirements

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 Get this template

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Product Lifecycle Management (PLM)
Product Lifecycle Management (PLM)
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development...

Documents related to » technical data requirements

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 data centers, and iSCSI support in Windows Server 2003 makes connecting servers to an iSCSI SAN easier and more affordable. Read this technical briefing to understand best practices and the benefits of using an iSCSI SAN with SQL Server 2005.

technical data requirements  (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

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 maintenance supervisors and engineers. This is where a maintenance personnel management system can be useful.

technical data requirements  determine the causes. More technical staff is needed to satisfy the maintenance demand. The system is capable of assigning jobs in an anticipated way and sending alerts when the amount of work exceeds the man-hours available to execute it. This allows to hire personnel or pay overtime. Supervisors or managers need to know the number of staff budgeted. The system will provide real data about the man-hours available and the site where they were used, as well as the extra technical staff that was required Read More

Technical Staff Management Systems for the Aviation Industry


In the airline industry, aircraft maintenance is an activity that has to be done throughout the day, so maintenance personnel must be available at all times. The complexity of the operation increases the need for a maintenance personnel management system.

technical data requirements  order to combine the technical profiles available and the present proposals made to the supervisor, the system has to know the types of jobs (or the most common and iterative) that have to be performed at a maintenance base or on the platforms. The information related to the jobs that have to be executed or have been partially executed (known as continuous jobs ), will have to come from the main maintenance system that is being used. Certainly, in order to have the correct allocation, the system must Read More

Major Vendors Adapting to User Requirements


SAP and Microsoft have finally realized that their products will increasingly be evaluated by how well they interconnect, how flexible they are, and how intuitive their user interfaces are. However, these trends have already been incorporated by lesser-known vendors.

technical data requirements  applications, code, ideas, and technical documents. Microsoft also pledges to provide the source code for these solutions from the linked web site. This should allow the partners, other independent software vendors (ISVs), and customers to modify and distribute these programs. It should then be possible to enhance or customize the shipped solutions or to use them as examples of how to build new composite applications. Inherent Challenges Ideally, overlaying composite applications should be instantly 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 migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

technical data requirements  needs to provide key technical capabilities, such as data re-engineering and cleansing, logical entity mapping, and logical attribute mapping. Informatica''s products support all these capabilities and best practices for migration, helping hundreds of leading organizations to migrate data and implement application projects while meeting timescales, budgets, and data quality requirements. For more information, please visit www.informatica.com/solutions/technology/migration to view the white paper, Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

technical data requirements  Mallikarjunan has held include technical lead and applications development manager of a team of .NET, data warehousing, and BI professionals for a fashion retail company. In this role, she was responsible for the development, maintenance, and support of Windows and Web-based applications, as well as an operational data store, data marts, and BI applications. Mallikarjunan holds a BSc in computer science from the University of Madras (India), and an MSc in computer science from Anna University in Madras, Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

technical data requirements  Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk Read More

2013 Big Data Opportunities Survey


While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.

technical data requirements  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

technical data requirements  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages 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 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.

technical data requirements  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

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

technical data requirements  poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can''t handle the volume of data that has become a matter of fact for businesses today. This white paper Read More

Analytics and Big Data for the Mid-Market


Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and showing how these solutions provide tangible benefits to line-of-business operations.

technical data requirements  and Big Data for the Mid-Market Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and Read More

Diagnosing Requirements Failure: A Benchmark Report


According to an IAG survey, 70 percent of companies lack the fundamental competencies within business requirements discovery to consistently bring in projects on time and on budget. Why do so many fall short in properly diagnosing their requirements failures? Discover how placing a greater focus on the combined aspects of business requirements—people, process, and tools—can provide better project outcomes.

technical data requirements  Requirements Failure: A Benchmark Report Diagnosing Requirements Failure: A Benchmark Report If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. On our engagements, IAG consultants use a consistent approach to requirements definition and management that is a key reason for our achieving superior work products and successful project and business outcomes for our clients. The bottom line is faster results with higher quality and a Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

technical data requirements  Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. Read More

Containerized Power and Cooling Modules for Data Centers


Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized “site integration” mentality. This white paper compares the cost of both scenarios, presents the advantages and disadvantages of each, and identifies which environments can best leverage the facility module approach.

technical data requirements  Power and Cooling Modules for Data Centers Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to Read More