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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 sheets

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 sheets

Has SAP Become a PLM Factor to Be Reckoned With?


You have probably heard of SAP’s recent blockbuster acquisitions, but did you know about the vendor’s fervent in-house innovation and newly developed products for SCM and PLM sectors. In his recent article, TEC Principal Analyst P.J. Jakovljevic takes a close look at the continuous product and service innovation at SAP and discusses the key products and development strategies with SAP PLM solutions managers. Read more.

plm technical data sheets  with the latest SAP PLM solution.” But rather than brag about our capabilities, here are some actual customer quotes: “SAP Easy Document Management and cFolders Applications have improved our processes tremendously. We’ve gained better control of our documentation and can collaborate more effectively.” −Christian Matsson, Application Specialist, Vattenfall Business Services Nordic AB “Thanks to SAP PLM, we can now mange all of our technical documentation effectively throughout the lifecycle Read More

Will Adonix Provide A Warmer Home To CIMPRO? Part Two: Market Impact


Contrary to most peer vendors, which started their ERP applications in the manufacturing space, Adonix first established a strong presence and functionality in the distribution/logistics field. Its timely focus on distribution/supply chain execution (SCE) has proven to be wise and useful particularly these days, since it remains a fertile enterprise applications area.

plm technical data sheets  Systems , nowadays a PLM vendor for the process market) and in built-in quality management systems (QMS), material safety data sheets (MSDS), and laboratory inspection management system (LIMS) functions. The product also supports a wide range of database and operating systems (OS) platforms, as the IDOL environment does provide gateways to other databases such as Oracle for those users who prefer a more mainstream relational database management system (RDBMS), but the performance is typically impaired in 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 if PeopleSoft shares functions between the product sets.

plm technical data sheets  industries of focus. Also, PLM is necessary for enabling the design for manufacture and assembly (DFM/A) and concurrent engineering concepts, which helps simplify product design to enable smoother flowing processes, which in turn means easier production scheduling. A flattened BOM, as a result of the product development and manufacturing processes being designed concurrently, in addition to being much easier to plan and schedule than a non-flattened multi-level BOM, has many other advantages—from Read More

Demystifying SAP Solution Manager


Many large organizations are struggling to manage all their software systems—let alone the different software versions across departments. In his article, TEC principal analyst P.J. Jakovljevic discusses how SAP Solution Manager, a unique offering for centralized support and system management, covers all aspects of system deployment, operations, and continuous improvement, to ease customer pain with their complex IT environment.

plm technical data sheets  SAP CRM , SAP PLM , SAP BI , SAP SCM , etc., are the managed systems (the individual “organs”).   What Does SolMan Actually Do? Solution Manager is a set of tools for both functional and technical purposes. The technical aspect refers to the real-time monitoring, support, and maintenance (e.g., patches, support requests and related notes, etc.) of the entire IT landscape, regardless of the number of managed systems. For their part, functional tools serve to maintain a repository of documents and Read More

Product Lifecycle Management: Expediting Product Innovation


The highly competitive product manufacturing market makes true product lifecycle management (PLM) inevitable. PLM helps companies map product requirements to features, obtain control over product data, preserve product knowledge assets, and enter into the new paradigm of modular product development.

plm technical data sheets  main objective of any PLM system. When product development people are closer (virtually speaking), they can collaborate more efficiently. Due to current globalization trends, as well as the trend toward leveraging competencies and resources that are geographically separated, it has become mandatory to collaborate in a virtual environment. The health of the collaboration can be parameterized with three basic questions: How secure is your collaboration environment? How efficiently can you collaborate? How Read More

Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

plm technical data sheets  data masking, data security, information security, data leak, hack, data loss, DLP, data leak prevention Read More

Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

plm technical data sheets   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 efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

plm technical data sheets  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

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 if your organization needs this type of IT solution.

plm technical data sheets  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

plm technical data sheets  data blending, data analyst, data source, data analysis, data software, data cleansing, data access, data blending software Read More

Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

plm technical data sheets   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 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.

plm technical data sheets  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

plm technical data sheets  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

plm technical data sheets  IBM,data recovery,software data recovery,data recovery tools,data recovery tool,deleted data recovery,harddrive data recovery,hdd data recovery,ntfs data recovery,disk data recovery,data protection act,data protection,data recovery hard disk,lost data recovery,freeware data recovery 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 sheets  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