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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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 autodata technical data plm

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 » autodata technical data plm

Case Study: Cadbury plc


To reduce time to market and realize the full value of its intellectual property, Cadbury plc needed to ensure compliance with government regulations. The company launched a long-term data management strategy, which included storing all data in a central repository—a product lifecycle management (PLM) system. Find out how Cadbury not only ensured compliance but also improved its response to consumer and customer queries.

autodata technical data plm  Unclassified Technical Data , Autodata Technical Data , Benefits Technical Data , Controlled Technical Data , Critical Technical Data , Define Technical Data , Engineering Technical Data , Filter Technical Data , Free Technical Data , Manufacturers Technical Data , Presenting Technical Data , Product Technical Data , Provides Technical Data , Provisioning Technical Data , Stock Technical Data . About the company. Cadbury plc, formerly Cadbury Schweppes plc, is the largest confectionery company in the 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.

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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 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 predictive analysis. Learn more.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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CAD-centric PLM, ERP-centric PLM, and Organic PLM: What's Right for You? - Part 1


In this day and age of globalization, ever-shorter new product introduction (NPI) cycles and overall product lifecycles, partner collaboration, and whatnot, product lifecycle management (PLM) software solutions have lately increased their strategic significance to enterprises. In his recent Forbes blog post contribution, PTC’s CEO Jim Heppelmann touts PLM as a new path to shareholder value. He

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CAD-centric PLM, ERP-centric PLM, and Organic PLM: What's Right for You? - Part 3


Part 1 of this blog series started with the assertion that product lifecycle management (PLM) solutions are becoming increasingly important to enterprises in a strategic sense. However, not all PLM products are created equal, especially in light of their different origins. I then explored the advantages and weaknesses of the first group of PLM solutions: those coming from stalwart

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

autodata technical data plm  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More

Infor PLM Optiva


Infor PLM Optiva integrates product design functionality with program management, collaboration, and workflow capabilities. The company's solution features a central data repository that serves as a global backbone enabling a company to capture, share, and manage product development information, and collaborate with its customers and suppliers to bring new products to market at Internet speed. Optiva is a product development software solution for the food and beverage, chemicals, consumer packaged goods, and pharmaceutical industries, which helps companies bring products to market. Because the product is modular, Formation Systems helps companies taylor its functionality. Using the product's tools such as formula optimization and recipe management, can help - Create market-ready products - Elevate product quality with consistency - Integrate knowledge throughout the enterprise - Unite with key business partners

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

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The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

autodata technical data plm  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More

Lectra Fashion PLM Becomes the First TEC Certified Solution in PLM for the Fashion Industry


“I can name more fashion PLM solutions than PLM solutions.” This was what I told my colleagues last year when I was working on the creation of a product lifecycle management (PLM) evaluation model geared specifically to the fashion industry. Of course, this was intended as a joke—a fashion PLM solution is still a PLM solution! But, here is the first fashion PLM solution to receive TEC

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Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions


Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.

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Technical Publications: Improving the Quality of Technical Publications Increases Employee Productivity and Customer Satisfaction


Improving the content of technical publications is possible with a product development system (PDS). A PDS solution can automate and optimize the technical publishing process and can end publication bottlenecks caused by launch delays due to poor process. A PDS solution allows for concurrent development of products and publications—keeping your engineering and publishing departments in sync.

autodata technical data plm  Publications: Improving the Quality of Technical Publications Increases Employee Productivity and Customer Satisfaction Improving the content of technical publications is possible with a product development system (PDS). A PDS solution can automate and optimize the technical publishing process and can end publication bottlenecks caused by launch delays due to poor process. A PDS solution allows for concurrent development of products and publications—keeping your engineering and publishing Read More