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Software Functionality Revealed in Detail
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 edi data


EDI versus. XML--Working in Tandem Rather Than Competing?
Electronic data interchange (EDI), extensible markup language (XML) , and any other format are merely

edi data  Tandem Rather Than Competing? EDI History Since electronic data interchange (EDI ) has earned a reputation as a complex, rigid, and expensive means of business document and data exchange among trading partners, one would expect it to be relegated as a relic of a bygone era. In the computer business, where new technologies can come and go almost overnight, EDI should have long become an artifact, let alone a technology with a mid-life crisis considering a number of younger technologies, such as DOS or

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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.

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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » edi data

Next-generation EDI: Time to Upgrade from Outdated Technology?


As a mid-market company, you’ve been using electronic data interchange (EDI) for a number of years. It saves time and money—and most importantly, your trading partners need you to. But new technologies offer a streamlined and cost-efficient approach to EDI. These capabilities mean you don’t have to settle for "workarounds," "good enough," or "my vendor left me no choice."

edi data  | EDI Document | EDI Electronic Data Interchange | EDI Framework | EDI Implementation | EDI Information | EDI Infrastructure | EDI Infrastructure Analysis | EDI Infrastructure Architecture | EDI Infrastructure Deployment | EDI Infrastructure Development | EDI Infrastructure Framework | EDI Infrastructure Innovation | EDI Infrastructure Innovation Networks | EDI Infrastructure Integrate | EDI Infrastructure Integration | EDI Infrastructure Management | EDI Infrastructure Management Process | EDI Read More

5 Keys to Automated Data Interchange


The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data with in-house enterprise resource planning (ERP) and accounting systems. Unfortunately, over 80 percent of data integration projects fail. Don’t let your company join that statistic. Learn about five key steps to buying and implementing EDI to ERP integration software.

edi data  the need for integrating EDI data with in-house ERP and accounting systems becomes necessary. However with over 80% of data integration projects failing, choosing the correct EDI integration solution can be a daunting and painful process. This white paper examines five key steps to buying EDI integration software. Understand the key steps to ensure success and learn how to select a vendor that will help you versus hinder you in the process. The Need For Edi Integration Over the course of the past six Read More

When EDI Goes Native, Everything Falls in Sync with IQMS


IQMS's IQ EDI module is a natively-built solution that deals with the complexities of data synchronization among EDI documents and eliminates the need for third-party translators.

edi data  daily, constant flood of EDI messages. In high volume environments, this can consist of hundreds of records affecting the releases and forecasts of hundreds of parts. It becomes infeasible to manually enter this data into the system, and therefore, an additional interface must be developed and tested. Yet, unlike an interface that updates or synchronizes inventory levels or product quality information, this interface has to do more than statically map data. It typically involves the extensive use of Read More

The Pain and Gain of Integrated EDI Part One: The Pain of Integrated EDI


The real action is in merging the influx of electronically transmitted data with existing information already being processed within the ERP system, and the ensuing challenge is to make sense of this constant flood of information arriving daily in the form of EDI or XML messages.

edi data  standards and more traditional EDI data transports in future releases. MBN will support generic versions of ANSI X12-formatted documents such as the 810-invoice, 850-order request, and 856-ship notice. Additionally MBS is committed to providing maps that translate any company-specific EDI implementations into the generic format. The product will also provide VAN-like functionality for direct XML-to-XML data exchange. However, Microsoft notes it has been in talks to provide a connection to at least one Read More

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.

edi data  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. Read More

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.

edi 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. Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

edi data  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More

A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

edi data  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More

Oracle Database 11g for Data Warehousing and Business Intelligence


Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

edi data  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

edi data  Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse. Read More

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

edi data  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the 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.

edi 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. 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.

edi data  Success : Data Migration (Wikipedia) A Road Map to Data Migration Success Data Migration Project is also known as : Road Map Data Migration Success , Data Migration Requirement , Successful Data Migration , Data Migration Projects , Implement Data Migration , ETL Extraction Transformation and Load , ETL Project , ETL Guide , ETL Quality Project Plan , Managing ETL Strategies , Design Process , Scope Extraction Transofrmation Load Effort , Essential Needs Extraction Transofrmation Load , Mapping 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.

edi data  generated and it is immediately captured, cleansed, and stored within the data warehouse structure. Traditional refresh cycles are no longer valid. The data warehouse is capable of reading the same data that moves around the operational systems at the same time it is generated. Despite the technical difficulties of implementing a true real-time data warehouse, there are some advantages. It shortens information delivery times. It improves integration throughout the organization. It eases the analysis of Read More