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Software Functionality Revealed in Detail
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 important technical data

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 » important technical data

Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

important technical data  two factors are particularly important when quantifying MDM''s value: the number of types of data and the range of uses for the data. Volume of Entities As noted earlier, your organization''s primary data entities generally are customers, products, employees, and suppliers. As the volume of data in any or all of these grows, the importance and complexity of managing the data increase. For example, wholesale distribution companies may sell hundreds of thousands or even millions of different products. Read More

About Big Data


There may not be a consensus with respect to just how big "big data" is, but not many people will disagree that managing these huge amounts of data represents a challenge. TEC research analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions.

important technical data  scenarios, which is extremely important for building better analytic solutions and improving existing ones, as well as performing analysis on the go There’s also an economic angle to the big data hype. A corporate data warehouse can rapidly become expensive as the data volume increases. Scaling a data warehouse can be a burden when you’re dealing with such volumes. Meanwhile, some big data providers can produce solutions not only that are cheaper from the get go, but which can be escalated, adapted, Read More

Planning Horizon of a Technical Personnel Management System


Airlines struggle every day to reduce costs, maintain the level of customer service, and have more efficient processes, and this puts more pressure on line maintenance supervisors and engineers. This is where a maintenance personnel management system can be useful.

important technical data  benefits, and the most important are Automatic allocation . Once all the parameters are fed into the system, the supervisor can validate or correct allocations in a few minutes; he or she does not have to worry about creating work teams or knowing the technicians'' availability, because allocations will only contain those technicians that are available at that moment. Agility in providing solutions . The system can perform changes to the allocations in less time than a supervisors, and can generate proposa Read More

Why .NET Technology Is Important for ERP


.NET technology is a wake-up call, and some people are sleeping through it! Remaining competitive means mission-critical software systems, such as enterprise resource planning (ERP) applications, must be designed from the ground up for connectivity and integration. But software developers don’t advertise their shortcomings, and some ERP vendors—and by association, their customers—are being left behind.

important technical data  Why .NET Technology is Important for ERP ERP is also known as: erp software.net framework-based user interface , erp technology platforms , manufacturing.net profiles technology , erp software, visibility.net , net erp , erp move .net , erp-link services , .net technology plus sap , erp crm implementation , erp technical information , free erp module asp.net , tools and technology examples for erp , intuitive erp , erp dynamics software , erp and microsoft .net resources , manufacturing erp program , erp 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.

important technical data  and context. It is important that data quality tasks are not buried in individual applications, but are implemented instead as a set of services that can be used by any application from anywhere in the organization. This approach ensures that business processes obey a set of common business rules, and permits data quality service levels to be adjusted without directly affecting existing applications. It enables a data quality program to be deployed in a phased approach, one business process at a time, Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

important technical data  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification 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 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.

important technical data   Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

important technical data  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization 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.

important technical data  data migration sql,data migration strategies,data migration framework,server data migration,data migration issues,erp data migration,data migration validation,data migration test plan,data migration solutions,data migration strategy document,data migration companies,data migration testing strategy,data migration sql server,data migration planning,data migration plan example Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

important technical data  now recognized as an important way to add business value and improve return on investment, if it is properly planned and implemented. Selection Issues Selecting a set of products for a data warehouse effort is complex. The first and most important issue is to ensure that the Extract/Transform/Load tool that is chosen can effectively and efficiently extract the source data from all the required systems. The selection of the ETL tool requires an understanding of the source data feeds. The following issues Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

important technical data  design is the most important factor in determining the efficiency of a data center In today''s tough economy, you need to look at every energy and money saving option at your disposal. Find out what you need to know about running an energy-efficient data center. Download your PDF copy of Implementing Energy-efficient Data Centers today.   For assistance, please contact customer service. Hours: 8:00 AM to 5:30 PM EST. Phone: 514-954-3665, ext. 367. Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

important technical data  which are deemed less important than other development. Thus, your schedule is delayed and your risks increase. Scenario: Know Your Data The success of your migration project largely depends upon how well you know the data content and business rules. Your data experts help with identifying business needs, analyzing source systems, and testing, covering the full life cycle of your project. Experts likely will be from the business and tasked to the migration project on an as-needed or part-time basis. Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

important technical data  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More

The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

important technical data  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

important technical data  specialized software tools. These important steps can be taken today to secure the most critical vulnerabilities and lay the foundation for a data protection architecture. Specifically, the following are implementation items for each step. Step 1: Address Primary Network Security Threats The goal with the first step is to deploy an architecture that is scalable and flexible enough to address the four key areas that need data protection: Protecting Data Storage: In order to protect storage data, deploy Read More