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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 plm technical data analyst

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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  

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Documents related to » plm technical data analyst

TEC Research Analyst Roundtable: Predictions for 2011


It’s that time of year again for TEC’s analysts to polish their crystal balls and spread their tarot cards to gaze on the future of enterprise software for 2011.Aleksey Osintsev, Research Analyst—Enterprise Resource Planning The growing interest of businesses of all sizes in so-called cloud technologies in general and in on-demand—cloud or software as a service (SaaS)—enterprise

plm technical data analyst  design (CAD) interoperability enhancements, PLM moving closer to the cloud, better supports for design and engineering decision making, and more. Although there were various approaches behind this year’s events, connectivity is a common thread, and it will become an even stronger theme in 2011. Connectivity among processes: PLM will become a more powerful platform, serving as a hub for various parties and allowing a broader range of business processes to connect to each other. Ideation, portfolio Read More

Is MAPICS Getting the Magic of PLM? Part One: Recent Events and Market Impact


The former die-hard IBM AS/400-based enterprise resource planning (ERP) supplier to mid-market manufacturing companies, MAPICS, seems to have found its soul after the recent acquisition of its former competitor Frontstep and Frontstep's extended-ERP product line on a Microsoft .NET-based technology platform. While another acquisition of an ERP competitor is not very likely, MAPICS seems to have rather opted for lateral acquisitions of strategic extension products, starting with the MAGIK! PLM product.

plm technical data analyst  Market Impact The MAGIK! PLM acquisition is pretty much in tune with the MAPICS'' prudent strategy of late to focus more intently on the installed customer base and to continue developing functionality enhancements to its ERP solutions and strategic extensions via a web services model. In order to do so, the company may develop, acquire, or resell solutions from partners. Among the many expected benefits of this strategy would be that these solutions should be more rapidly developed to respond to changing Read More

Economic Benefits of PLM-enabled Collaboration


Many of today’s product lifecycle management (PLM)-enabling technologies allow complex information to be shared by dispersed teams of people. Product data management (PDM) technology is used to organize and provide access to your intellectual assets. PLM, its collaborative Product Definition management (cPDm) capabilities, and other solutions can help you go beyond asynchronous data sharing. Find out how.

plm technical data analyst  companies that have realized PLM value, has continued to fund its PIM Offer in order to increase the realization of benefits for the entire company. 4.3 SKF The SKF Group, headquartered in Göteborg Sweden, is a leading global supplier of bearings, seals, mechatronics, lubrication systems, and services. The Group''s service offering includes technical support, maintenance services, condition monitoring, and training. SKF, which was founded in 1907, currently has 110 manufacturing sites in 28 countries, Read More

Selecting PLM Software Solutions Part 2 - Problem Overview


Past experience shows us that the vast majority of enterprise technology evaluations run over time and budget, and once selected, the majority of the implementations fail to meet functional, return on investment (ROI) and total cost of ownership (TCO) expectations. Many companies have consequently been stuck with under-performing software products and dejected users, and are still unable to gauge their system to determine how far they are from the ideal solution for their business requirements.

plm technical data analyst  mistakes when selecting a PLM solution. Vendors Vendors, their value added resellers (VARs) and system integrators (SIs) are not in an easier situation either, despite their tendency to often oversell their products. On the vendor side, the challenge of educating the potential client of their offerings results in painfully long and costly sales cycles, painstaking and numerous RFI responses time and again, and the potential for pursuing a mismatch opportunity, resulting in projects that can go terribly Read More

Oracle Renders Its PLM Outline Part One: Event Summary


Although its PLM solutions will not likely be the "all things to all people" any time soon, Oracle might be showing us its ability to develop its own applications in collaborative effort with its prominent customers.

plm technical data analyst  Suite''s broader functionality, Oracle PLM now addresses all most elements essential to product management for manufacturers, including NPDI processes across functional groups inside and outside the enterprise, engineering changes and lifecycle product data access, and sourcing, while certain industry functionality has been co-developed with several prominent companies. The project collaboration capability, for instance, is based on a patented streaming technology that allows even gigabyte-sized CAD 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 traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

plm technical data analyst  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 traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the 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.

plm technical data analyst  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 Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

plm technical data analyst  big data,data management,analytics,SAP Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

plm technical data analyst  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More

Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

plm technical data analyst  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 reference design Read More

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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

plm technical data analyst  a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock 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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

plm technical data analyst  data warehouse,data warehousing,data acquisition,metadata management,data mining,data cleansing,data capture,Data Warehousing definition,Bill Inmon,Ralph Kimball,database technology management experience,data warehouse design expertise Read More