Home
 > search for

Featured Documents related to »  technical data challenges plm

Core PLM for Discrete Industries
The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including manage...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » technical data challenges plm


An Overview of Product Lifecycle Management Implementation Challenges
Product lifecycle management (PLM) implementation brings its own set of challenges, whether considering vendor selection, employee perception management, or

technical data challenges plm  the area of implementation, technical experts, and experts from the respective design, manufacturing, production, and procurement departments. Once a committee is formed, it needs to contact software vendors by all available means, such as inviting tenders, contacting vendors'' marketing departments, and so on. This will ensure the attention of various vendors. Once this committee starts receiving responses, then it should share its vision and PLM system document with those vendors, and specify budgetary Read More...
PeopleSoft Gathers Manufacturing and SCM Wherewithal Part Four: Challenges and User Recommendations
PeopleSoft manufacturing customers and J.D. Edwards customers in service industries should assess the vendor''s product plans given these customers might benefit

technical data challenges plm  the significant increase in technical skills of your IT department, particularly in XML, HTML, Java, Internet security and firewalls, LDAP, JavaScript, and so forth. As for the recent and still ongoing alliances, insist on long-term commitments to product integration and guarantees of replacing equivalent software in case the partnerships dissolve for some reason in the future. While business process integration across products, data integration through a central data warehouse, and content integration Read More...
Microsoft Business Network (MBN)--Coming of Age? Part Four: More Challenges and User Recommendations
The objectives of end-to-end supply chain visibility are better plans, better service, increased inventory turns, and higher profit margins, where MBN might

technical data challenges plm  deal with business-related questions, technical glitches, and data translation issues will be required. Companies that are dependent on EDI for transaction routing should look hard at the likes of MBN as its pathway into the XML century. What should be most important to them is how smoothly the translation service can be implemented in terms of integration with their other systems. Therefore, size and technical strength are not as important as experience with the same systems users might have. Given the Read More...
QAD Pulling Through, Patiently But Passionately Part Five: Challenges
QAD still has to create greater market recognition and additional revenue. QAD admits it has been struggling to offer complete

technical data challenges plm  it to recover the technical leadership that it was in danger of losing. This concludes Part Five of a six-part note. Part One detailed the events. Part Two presented the company background. Parts Three and Four discussed the market impact. Part Six will make user recommendations. Read More...
SAP Bolsters NetWeaver''s MDM Capabilities Part Five: Challenges and User Recommendations
SAP customers waiting for MDM to address data synchronization initiatives can be confident that, in the long term, SAP will likely address consolidation of

technical data challenges plm  6.40 , whose common technical foundation simplifies a wide range of infrastructure activities, including administration, monitoring, and user and security management. SAP is reassuring its current customers and prospects that it will stomach the burden of this migration. This brings us to the fact that SAP, even with the A2i''s expertise, will not soon become the leader in PCM, product information management (PIM) or GDS, particularly given that these areas have become A2i''s focus only during last year or 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 challenges plm  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...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

technical data challenges plm  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two Read More...
Lectra Fashion PLM: PLM for the Fashion Industry Competitor Analysis Report
Product Lifecycle Management (PLM) for Fashion is an evaluation model containing tailored PLM criteria and extra functionalities that serve the specificities of

technical data challenges plm   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

technical data challenges plm  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 been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and Read More...
e-PLM
NGC@s e-PLM is a Web-based solution for line planning, style spec development, costing, and Consumer Product Safety Improvement Act (CPSIA) compliance. It

technical data challenges plm   Read More...
Meeting Request Regarding PLM Research/PLM Buyer Behaviour Report
The PLM user landscape is changing

technical data challenges plm  Request Regarding PLM Research/PLM Buyer Behaviour Report The PLM user landscape is changing : TEC has tracked the selection criteria of over 400 PLM initiatives over a two-year period, and observed significant changes in the expectations and objectives of PLM solution buyers. Backed by benchmarking data derived from thousands of enterprise selection projects conducted by TEC''s user community, we are currently creating a report entitled The TEC PLM Software Buyer Behavior Report . Invitation : We Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

technical data challenges plm  Rasmussen is the Chief Technical Officer of APC. He establishes the technology direction for the world''s largest R&D budget devoted to power, cooling, and rack infrastructure for critical networks. Neil is currently leading the effort at APC to develop high-efficiency, modular, scalable data center infrastructure solutions and is the principal architect of the APC InfraStruXure system. Prior to founding APC in 1981, Neil received his Bachelors and Masters degrees from MIT in electrical engineering where 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

technical data challenges plm  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 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...
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

technical data challenges plm  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...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

technical data challenges plm  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others