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Software Functionality Revealed in Detail
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 global data synchronization


Global Business Community Management
With more manufacturing being outsourced, and suppliers located farther afield than ever, logistics is much more complex than it used to be. To simplify the

global data synchronization  with the complexity of global supply chains, demands approaches and technologies that provide far greater visibility into the data and processes of all business partners. Because of the longer supply chains, there are more opportunities for costly delays to affect shipments. As a result, you need to be able to monitor and manage all aspects of supply chain operations scrupulously regardless of whether those processes are under your control or under the control of one of your business partners in order to

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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

Product Information Management (PIM) RFI/RFP Template

Integration with Back-Office Systems, Product Information Repository, Data Distribution and Synchronization, Employee Productivity, Application Technology 

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Documents related to » global data synchronization

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.

global data synchronization  visibility Sarbanes-Oxley HIPPA ER/ES Global Data Sharing Requirements Electronic Commerce Spreadsheets versus master data repository Supply chain collaboration & optimization - And the list goes on... Simply put data impacts: Ability to process orders Ability to share data among internal systems Ability to share data electronically with external sources Reliable reports Correct information for good decision making At a 2004 UCCNet conference, a presenter from Wal-mart stated that only 30% of their EDI Read More

Global Product Development Seen as a Boon for Product Lifecycle Management Vendors


An enterprise that wants to shift to a global product development strategy must invest in modern product lifecycle management (PLM) technology. Therefore, the PLM software market could be on the edge of a significant growth cycle.

global data synchronization  exploit the benefits of global product development. By rearranging product development activities, personnel, and processes around the globe to take advantage of advantageous cost structures, these companies have experienced increased product development productivity with real and quantifiable financial rewards. Global Product Development Requires Significant Process Change A lot of hard work and significant investment is required early on in order to take full advantage of global product development. Read More

The Intricacies of Global Retail Sourcing


Retailers should aim at curbing traditional firefighting practices in favor of productive planning and collaboration with customers. Retailers must take steps to reconcile these disparate solutions to improve their reaction time and gain maximum leverage from their sourcing activities.

global data synchronization  a result. Further, intensifying global security concerns mean that much more information is required by governments (other than merely applying the customary harmonized tariff schedule [HTS] codes and checking whether something is produced from an endangered species, for example), and component tracking has become essential to conducting business across borders. With shipment security under increased scrutiny since 9/11, retail importers have had to adapt to a changed world of customs compliance, since Read More

A Traditional "Local Touch" Leader Espouses a More Global Vision


Rather than pursuing the usual route and writing our opinions and analyses of major market trends and then giving the pertinent vendors a chance for a factual review and feedback, we’ve done the opposite, and have asked different vendors about their opinions and their approaches to market trends. Sage is the most recent vendor to join this discussion.

global data synchronization  functionality and may fit global business needs); industry (X3 focuses on distribution and manufacturing in chemicals, life sciences, food and beverage, and hard goods); and level of complexity and the agility of its business processes (X3 may be more easily customizable). There are also similar, potential overlaps with Accpac ERP, which has a good presence in several English-speaking markets (see Will Sage Group Cement Its SME Leadership with ACCPAC and Softline Acquisitions? ) Organizations considering Read More

Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

global data synchronization  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

global data synchronization  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Busin 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.

global data synchronization  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 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.

global data synchronization  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. Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

global data synchronization  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

global data synchronization  Goes Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical a Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

global data synchronization  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More

Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

global data synchronization  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and 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.

global data synchronization  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 da Read More