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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

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

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

SQL Server Technical Briefing


iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for data centers, and iSCSI support in Windows Server 2003 makes connecting servers to an iSCSI SAN easier and more affordable. Read this technical briefing to understand best practices and the benefits of using an iSCSI SAN with SQL Server 2005.

important technical data  on Microsoft.com. It is important to remember that WHQL certification does not differentiate among storage arrays in terms of functionality''users should select WHQL-qualified arrays according to the performance, reliability, scalability, and the features that you require. Feedback Did this paper help you? Please give us your feedback. Tell us on a scale of 1 (poor) to 5 (excellent), how would you rate this paper and why have you given it this rating? For example: Are you rating it high because it has 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.

important technical data  applications have played as important a part as Moore''s law for decades. A vast amount of that information is shared. By 2013 the amount of traffic flowing over the internet annually will reach 667 exabytes, according to Cisco, a maker of communications gear. And the quantity of data continues to grow faster than the ability of the network to carry it all. People have long groused that they were swamped by information. Back in 1917 the manager of a Connecticut manufacturing firm complained about the Read More

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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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 Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

important technical data  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures 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

important technical data  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 information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based 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.

important technical data  warehouse is its most important character. A collection of subject-oriented, integrated, time-variant, and non-volatile data is what we can call a data warehouse. This data is used to support the decision-making process of an organization''s management team. A data warehouse is used to integrate all of an organization''s historical data, and has the ability to store snapshots of its transactions. All information generated from the operational data source is extracted, cleansed, transformed, and loaded into Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

important technical data  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center cooling module, data center power and cooling infrastructure, traditional data center, containerized data center, data center TCO Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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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

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.

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