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The Wheres of Electronic Procurement
An overview of one of the central issues facing a deployment of e-procurement: Who controls the software?

electronic data processing per  But the wheres of electronic procurement may not be quite so obvious, because E-procurement needs to be thought about in a way that is different from most other applications. For most applications, while there may be inputs coming from outside the company or data sent to the outside, the core of the application - the way we think of where it is -- lies well within the enterprise. With E-procurement the focus is on the transaction, which lies between two different organizations. If E-procurement were Read More...
Electronic Medical Records (EMR) for the Health Care Industry
Electronic Medical Records (EMR) assists physicians and other clinicians document patient care for current visits and provides access to patient clinical history. Sometimes may be referred to as co...
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Documents related to » electronic data processing per


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

electronic data processing per  Automated Data Management , Electronic Data Interchange , EDI , Edi Integration , Data Interchange Standard , Automatic Data , Automatic identification , data capture , Automated Data Collection , Automatic Data Patch . Five keys to buying EDI Integration in the mid-market Critical questions mid-market companies should consider before buying an EDI Integration solution As mid-market manufacturers and users of EDI expand, the need for integrating EDI data with in-house ERP and accounting systems becomes 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

electronic data processing per  solution. And doesn't the electronic sharing of data only work when the data is correct? We believe in using technology when it makes sense to do so, as long as everyone understands that the root of data cleansing is the Data and Business Owners who define what is needed. If you have internal data tools already implemented, then use them. If you don't, then don't run out and buy one just for this project. Implementing a PIM or PDM, is a whole separate project. Most vendors will only import clean data, so Read More...
The Hidden Role of Data Quality in E-Commerce Success
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at their back- and front-ends, so they

electronic data processing per  given the speed of electronic exchange, data from buyers and sellers needs to be quickly integrated, synchronized, and standardized for smooth, accurate transactions. Examples include catalog updates, changes to contract terms or industry-coding schemes such as UN/SPS, or dynamic pricing based on real-time market fluctuations. Without controls and updates for data quality, companies risk disseminating and acting on misinformation. Disintermediation : Though eliminating the customer service representative Read More...
Processing Complex Events (During these, oh well, Complex Times) - Part I
The worn-out saying about how we learn new things every day applies to this blog topic too. Namely, my interest in Progress Software Corporation has long been

electronic data processing per  and the advancement of electronic market access has created a market environment in which competitive differentiation amongst financial service firms rests with split-second algorithmic execution that can exploit minuscule and momentary advantages in price, time, and available liquidity. To that end, a trading company will treat any market update as an “event” and will enable users to rapidly build quantitative algorithms (based on their vast experience and know-how) to identify trading 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

electronic data processing per  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...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

electronic data processing per  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

electronic data processing per  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

electronic data processing per  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More...
Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a

electronic data processing per  Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed to automatically discover information in Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

electronic data processing per  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

electronic data processing per  says OLE for Data Mining: Is it Bull? Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

electronic data processing per  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Don't Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

electronic data processing per  t Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Read More...

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