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Documents related to » the "matching process" refers to


Data Quality Strategy: A Step-by-step Approach
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To realize the full 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. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.

THE MATCHING PROCESS REFERS TO: of established cleansing and matching processes written exclusively for the purchased data raises the possibility that cleansing will be overlooked. Legacy Migration A fourth opportunity to cleanse data is during a legacy migration. When you export data from an existing system to a new system, old problems from the previous system can infect the new system unless the data is robustly checked and validated. For example, a manufacturing company discovers during a data quality assessment that it has three
1/25/2010 1:13:00 PM

Improving Intercompany Reconciliation for a Faster Close: Driving Financial Excellence
Improving Intercompany Reconciliation for a Faster Close: Driving Financial Excellence. Find Free Scenario and Other Solutions to Define Your Project Implementation In Relation To Intercompany Reconciliation. Are you moving beyond the need to comply with legislation like the Sarbanes-Oxley Act (SOX), to focus instead on driving sustainability and control in your processes? Do you have an initiative to support the fast close—or does your ability to complete your accounting cycles and close your books need a boost? Learn about technology and a methodology that can help you deal with the intercompany reconciliation challenge.

THE MATCHING PROCESS REFERS TO: reporting processes. The intercompany balance-matching process is either included in the consolidation category of reporting or is a category in itself. However, as mentioned earlier, consolidation solutions provide value only when you start consolidating data, which then is part of the close s critical path. On the other hand, BusinessObjects Intercompany is a product specifically designed to match intercompany data interactively in a peer-to-peer fashion over the Web. It deals not only with
6/4/2009 12:32:00 PM

Selecting an Outsourcing Provider—Art or Science?
As there are many different categories of outsourcing services, there are also many outsourcing providers. With many different aspects to consider, how can a company ensure they have made the right choice in selecting one?

THE MATCHING PROCESS REFERS TO: process via a checklist-driven, skill-matching process that attempts to find and select the best fit, while other companies select their provider based solely or primarily on price. With many different aspects to consider, how can a company ensure they have made the right choice in selecting an outsourcing provider? Defining the Problem Where to Begin Key Success Factors Selection Process Recommendations Conclusion Defining the Problem As there are many different categories of outsourcing services (see
8/13/2005

Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

THE MATCHING PROCESS REFERS TO: uses an accurate data matching process. Master Data Management and Accurate Data Matching style= border-width:0px; />   comments powered by Disqus Related Topics:   IT Asset Management (ITAM),   Customer Relationship Management (CRM),   Contact Management (CM),   Customer Service and Support,   Risk Management,   Business Intelligence and Data Management,   Business Intelligence (BI),   Data Warehouse,   Database Management System (DBMS),   Security,   Access Control,   Identity
11/20/2007 3:59:00 PM


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