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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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 technical data analyst 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 » technical data analyst plm

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

technical data analyst plm  more user-centric and less technical. Kurt Chen, Research Analyst—Product Lifecycle Management The year 2010 in the product lifecycle management (PLM) space has seen some exciting undertakings: social product development, computer-aided 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 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.

technical data analyst plm  screens—without the need for technical programming. Moreover, as the business changes, the system can adapt and move forward with the business. With its enhanced functionality, prior to being acquired by MAPICS, to natively deliver solid supply chain management (SCM) and customer relationship management (CRM) modules (see Mid-Market ERP Vendors Doing CRM and SCM in a DIY Fashion ), former Frontstep had also positioned itself as a primary business systems provider that offers comprehensive enterprise Read More

Selecting PLM Software Solutions Part 5 - User Recommendations


This tutorial points out the significance of buyers researching PLM technology vendors before determining the short list and vendors researching the viability of the opportunity before committing time and money to a sales effort. Since a 'one-size-fits-all' product is still not quite a viable possibility, almost every product can win provided certain set of requirements. The Catch 22 for both buyers and vendors/VARs is to pinpoint the right opportunity in this ongoing 'dating game'.

technical data analyst plm  majority of functional and technical requirements show up time and time again. These have been captured for the PLM field within the PLM Evaluation Center . The remaining requirements may be peculiar to your business and industry (e.g., specific integrations to your existing applications), which need to be defined from scratch and prioritized appropriately. But, these should only be a small fraction of the entire immense RFI effort. Likewise, vendors'' effort in filling the new RFIs should only be limited Read More

Selecting PLM Software Solutions Vendors Part 3 - A Timesaving Solution


In PLM, there is no single vendor that can meet all of the requirements, and the market is still immature, so almost every product can be the right solution provided a certain set of requirements. The Catch 22 for both buyers and vendors is to pinpoint the right opportunity in this ongoing 'dating game'.

technical data analyst plm  sets of functional and technical criteria. For example, Figure 3 indicates the subcategories under Product Data Management. Figure 3 The next step in ranking the vendors is to prioritize the Decision Hierarchy. This involves indicating the importance of each criterion to a technology selection decision. The percentage on the pie graph indicates the priority percentage, or how much of the total decision is allotted to the criteria, based on the priorities set by module. For example, 19% appears for 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.

technical data analyst plm  based on functional and technical features, vendors/VARs benefit from not pursuing unfruitful clients, and clients benefit because the short list is usually reduced to a manageable size, while everybody benefits because this tedious phase that can be streamlined. There is certainly room to ask the fundamental question of whether the traditional practice of RFI/RFP processes has been adequate to the task of selecting complex systems. The record indicates there is much room for improvement. In essence, for Read More

Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

technical data analyst plm  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More

Is MAPICS Getting the Magic of PLM? Part Three: Challenges and User Recommendations


MAPICS hereby joins the raft of enterprise resource planning (ERP) vendors that are making their way into the product lifecycle management (PLM) market by bundling or partnering strategically to embed PLM functions within their suites.

technical data analyst plm  MAPICS Getting the Magic of PLM? Part Three: Challenges and User Recommendations How Magik! Fits with MAPICS For over two years or so, MAPICS , Inc . (NASDAQ: MAPX), possibly the largest global solution provider of extended enterprise applications for discrete manufacturers after acquiring its former competitor Frontstep (see MAPICS to Leap Forward in a Frontstep Way ), has shown both signs of significant changes and a persist number of historically recognizable and invariant tenets of operation. During 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.

technical data analyst plm  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 Read More

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.

technical data analyst plm  be seen from both technical and business perspectives. Data can be seen from a user-centric perspective—to promote awareness of data security across your organization. Now let’s look at some guidelines you should consider when launching an information security governance program and a general plan to follow from an information security perspective: Identify and define. Identify. The first step in this process involves scoping the initiative in order to focus on the most relevant and critical issues Read More

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.

technical data analyst plm  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 quali Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

technical data analyst plm  to run into bureaucratic, technical and ethical problems. Online advertising is already far more accurately targeted than the offline sort, but there is scope for even greater personalisation. Advertisers would then be willing to pay more, which would in turn mean that consumers prepared to opt into such things could be offered a richer and broader range of free online services. And governments are belatedly coming around to the idea of putting more information—such as crime figures, maps, details of Read More

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

technical data analyst plm  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More

Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

technical data analyst plm  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. 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

technical data analyst plm  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 their data as well as to ways to capture the most valuable Read More

The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

technical data analyst plm  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More