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Data Conversion in an ERP Environment
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives.

data conversion europe  Data Conversion in an ERP Environment Data Conversion in an ERP Environment Joseph J. Strub - October 21, 2002 Read Comments Introduction Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives. First, let me start out by saying that data conversion is not an art Read More...

Meeting the Challenge: Planning for IFRS Conversion
Over 100 countries now require or permit International Financial Reporting Standards (IFRS) reporting. Companies preparing to make this challenging switch will need to focus on technical accounting issues, the differences between IFRS and generally accepted accounting principles (GAAP), and more. Learn about the issues surrounding IFRS adoption and the systems you use to manage and report financial information.

data conversion europe  your company to contemplate data model changes in your valuation system and actuarial models. Sage Accpac resolution: You will have to make decisions regarding valuation systems and actuarial models based on you company’s specific circumstances. Sage Accpac will be able to handle whichever choices you make. Issue: Reporting IFRS will change requirements for consolidated entities, mapping structures, and financial statements. Sage Accpac resolution: Sage Accpac provides customers with multiple tools to Read More...
ERP for Mill-based and Material Converting Environments
The ERP for Mill-based and Material Converting Environments knowledge base focuses on a range of industrial activities that add value to raw materials by processing them into a form suitable for fu...
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Documents related to » data conversion europe


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.

data conversion europe  Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data Source: PM ATLAS Business Group, LLC Document Type: White Paper Description: 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. Four Critical Success Factors to Cleansing Data Read More...
Conversion Strategies: Build We Must
Conversion can be defined as the process of manipulating data from one format or system to another format or system. It is not “sexy.” It requires extraordinary attention to detail. Done incorrectly, the project fails. Done correctly, the organization will enjoy the confidence provided by a streamlined, efficient, and accurate system, with processes ensuring the data stays that way.

data conversion europe   with processes ensuring the data stays that way. Conversion Strategies: Build We Must style= border-width:0px; />   comments powered by Disqus Related Topics:   Accounting and Financial Management,   General Ledger,   Data Cleansing,   Conversion,   or Modeling,   Business Intelligence and Data Management,   Database Migration and Conversion Source: Elite Management Consulting Corporation Learn more about Elite Management Consulting Corporation Readers who downloaded this white paper also read Read More...
RedPrairie to Spread Across Europe through LIS Acquisition Part Two: Market Impact
It is becoming increasingly important for supply chain execution (SCE) suppliers to have global implementation and service capabilities, while multinational user companies conversely benefit from working with global application providers. Now, the two merged vendors, RedPrairie Corporation and LIS, should have the critical mass and geographical breadth necessary to better serve the needs of their global customers, with local, multilingual support, and to compete for an ever-increasing number of multi-modal transport, multinational engagements.

data conversion europe  Technologies , the large data collection and barcode systems developer. Acquired as a complementary offering to Symbol s core products and services, the presence of LIS in the product portfolio had created conflict with other WMS vendors that also partnered with the company. As a result, promotion of LIS in the US had been impeded. Eventually, RedPrairie acquired LIS from the Permira Funds and management, whereas LIS business has more than doubled in size since the buyout from Symbol Technologies in Read More...
Spend Data Warehouse “On Steroids”
It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics.

data conversion europe  Spend Data Warehouse “On Steroids” Spend Data Warehouse “On Steroids” Source: Zycus Document Type: White Paper Description: It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

data conversion europe  Data Quality: Cost or Profit? Data Quality: Cost or Profit? Kevin Ramesan - March 8, 2004 Read Comments Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) Read More...
Sage Attempts a More Coherent Midmarket ERP Strategy in Europe
Sage Group plc is a leading global provider of business management software to small and medium-sized companies, with over 6 million customers and more than 13,500 employees in 24 countries covering the UK and Ireland, mainland Europe, North America, South Africa, Australia, Asia, and Brazil. After recently streamlining and rebranding its ERP and CRM offering in North America, Sage recently

data conversion europe   Read More...
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

data conversion europe  The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

data conversion europe  the Complexities of Remote Data Protection Addressing the Complexities of Remote Data Protection Source: IBM Document Type: White Paper Description: As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer Read More...
A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.

data conversion europe  A Guide to Intelligent Data Auditing A Guide to Intelligent Data Auditing Source: Tizor Document Type: Checklist/Guide Description: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of Read More...

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