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Software Functionality Revealed in Detail
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 online 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

Quote-to-Order RFI/RFP Template

Online Catalog, PIM Capabilities, Q2O/CPQ Workflow Management, Personalization and Localization, Rule Engines and Knowledge Base (Repository),Document Management (for Proposals and Contracts), Pricing, Customer Information, Reporting and Analysis, Integration and Interfacing Requirements, Engineering Capabilities, Channel Support and PRM, Aftermarket Services, and more. 

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Documents related to » online technical data

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.

online technical data  Data Lifecycle Management , Online Data Management , Data Management Application , Performance Data Management . Contents   The data deluge Businesses, governments and society are only starting to tap its vast potential Data, data everywhere Information has gone from scarce to superabundant. That brings huge new benefits, says Kenneth Cukier—but also big headaches All too much Monstrous amounts of data A different game Information is transforming traditional businesses Show me New ways of visualising 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.

online technical data  view—reporting and analysis tools, online analytical processing (OLAP) analysis tools, data mining, forecasting, etc. Managers and decision makers realized that a data warehouse—and its technology—had the ability to provide a complete view of the status of an organization. But as operational systems evolved, businesses merged, and globalization augmented, the number of business transactions increased substantially. Soon it became clear that having only historical information available wouldn''t be 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.

online technical data  Offering Product Content for Online | Leading Product Data Management | Product Data Analysis Framework | Archiving Product Data | Engineering Data Product | Data Sheets Select Product | Product Data Management Category | Product Data Guide | Product Data Catalogue | Incorrect Product Data | Product Data Synchronization | Product Data Exchange | Product Data Quality | Technical Product Information | Product Data Sheet Search | Data Acquisition Toolbox | Product Data PDM | Product Data Management PDM | 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.

online technical data  | MDM Tools | Online Data Migration | Master Data Management Services | MDM Data Quality | Business Objects ETL | Real Time ETL | Business Objects MDM | Road Map Data Migration Success SAP | Data Migration Requirement SAP | Successful Data Migration SAP | Data Migration Projects SAP | Implement Data Migration SAP | SAP ETL Extraction Transformation and Load | ETL Project SAP | ETL Guide SAP | SAP ETL Quality Project Plan | Managing ETL Strategies SAP | Design Process SAP | SAP Scope Extraction Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

online technical data  effective method is an online Web site. This interactive project record should not only provide up-todate information, but it should also accept feedback, comments, requests, and problem statements, and route the information appropriately. The project database should be able to provide updates and reports, and log ad hoc information such as contractors'' vacation schedules, alternate phone numbers, and miscellaneous remarks. Coordination of Multiple Suppliers Most data center projects will have more than 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...

online technical data  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. Read More

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."

online technical data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More

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.

online technical data  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

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

online technical data  Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data 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.

online 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

Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

online technical data  data management, data virtualization, proof of concept, POC, data center, provisioning, data security, copy data management, CDM 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

online technical data   Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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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.

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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.

online 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