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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...
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Documents related to » product technical data


Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

product technical data  Product Data Exchange | Product Data Quality | Technical Product Information | Product Data Sheet Search | Data Acquisition Toolbox | Product Data PDM | Product Data Management PDM | Find Product Data PDM | Looking for Product Data PDM | Managing Product Data PDM | Product Data Sheets PDM | Product Data Sheets Available PDM | Highlighted Product Number PDM | Model for Data Exchange PDM | Download Product Data PDM | Product Data Management Solution PDM | PDM Solution PDM | Speed Product Development PDM | Read More...
Managing Product Innovation
Inadequacies at the front end of the product development process is one of the leading causes of product failure for consumer products companies. Many companies

product technical data  capturing ideas, and generating product concepts. These concepts undergo detailed market and technical analysis and are then presented to decision makers who select the most promising candidates. After final approval, theconcept moves into prototype design and development, followed by a market testing phase, and finally into production. Though it seems reasonable enough in the abstract, in practice this process presents far too many obstacles for most companies to effectively align product Read More...
Enabling Product Innovation: The Roles of ERP and PLM in the Product Lifecycle
Companies are turning toward product innovation to achieve revenue growth, but to generate return on an innovation idea, the idea must be fully developed. When

product technical data  options previously discarded. A product that was discarded due to a technical limitation, for example, may become a viable product based on new technology from a supplier. There is a large amount of value and intellectual property developed in the design process. This information is often difficult to reuse, however, because it is largely unstructured. If this information is readily accessible to other designers, and readily searchable, then it is valuable and will promote reuse of ideas and concepts. Read More...
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

product technical data  Process and Project Management Product Technology This functional and technical requirement set template covers industry-standard functional criteria of Core PLM for Discrete Industries that can help you easily gather and prioritize your business needs in a simple and categorized excel document. More than a RFP template, it is a working document that serves as a knowledge base reference throughout the life-span of your Core PLM for Discrete Industries software project. Use this template to gather your Read More...
Core PLM Product Data and Recipe Management--Process RFI/RFP Template
Product Data Management (PDM),Engineering Change Order and Technology Transfer,Design Collaboration,Process and Project Management,Product Technology

product technical data  Process and Project Management Product Technology This functional and technical requirement set template covers industry-standard functional criteria of Core PLM for Process Industries that can help you easily gather and prioritize your business needs in a simple and categorized excel document. More than a RFP template, it is a working document that serves as a knowledge base reference throughout the life-span of your Core PLM for Process Industries software project. Use this template to gather your Core Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

product technical data  solution for BI. This product''s features include data compression, partitioned tables, parallelism capabilities, and change data capture. The scalable integration services tools enable fast ETL operations and connectivity to non-SQL server data sources. Netezza Netezza Data Warehouse Appliances is a combination of software and hardware tools designed for analytical processing of very large amounts of data. Netezza''s architecture is massively parallel processing (MPP)-based and uses a streaming Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

product technical data   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

product technical data  a manufacturer might use product data concurrently to feed into printed catalogs, CDs, a company Web site, a Web-based purchasing portal, and a distributor''s sales portal. The ability to efficiently disseminate accurate and consistent master data across all of these channels is a powerful benefit. Multiple functional areas within your organization might use master data differently. For instance, the accounting department may use information about a vendor for accounts payable, the procurement department Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

product technical data  industry and their key product features will be identified. Defining Customer Data Integration Within CRM, CDI is the management and consolidation of customer information from across the organization. This includes, but is not limited to, information stored in call centers, sales and marketing departments, and accounts receivables and payables. CDI ensures that each department requiring customer contact has access to timely data, to provide employees with a complete view of customer profiles or Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

product technical data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

product technical data  require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...
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

product technical data  big data analytics,about data mining,advanced analytic,advanced analytics,advanced analytics definition,advanced analytics techniques,advanced data analytics,analytic data,analytic database,analytic databases,analytical data,analytical database,analytical software,analytics,analytics business Read More...
The Product Portfolio Management Benchmark Report: Achieving Maximum Product Value
Products may fail to meet expectations for many reasons—most of which are self-inflicted wounds (such as unclear product definitions) by the company bringing

product technical data  Product Portfolio Management Benchmark Report: Achieving Maximum Product Value Products may fail to meet expectations for many reasons—most of which are self-inflicted wounds (such as unclear product definitions) by the company bringing them to market. What’s more, politics and inertia all too often win the day when it comes to making difficult product portfolio decisions. What actions can you take to rank among those companies which realize margin advantages of over 50 percent for new products? BEG Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

product technical data  enterprise data management,enterprise data migration,erp data lifecycle,enterprise data migration framework,enterprise data migration services,enterprise master data management,enterprise data management strategy,enterprise product data management,enterprise storage and data management,what is enterprise data management,enterprise data management software,enterprise data management solutions,enterprise data management system,enterprise master data management pdf,enterprise data management maturity model Read More...

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