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For example, do you know: Whom to contact when looking for a specific type of record Who is the go to person for document preservation and to locate records in every department of your nonprofit Does every department in your nonprofit even have such a person How vendors handle your files If you outsource a function such as payroll, the vendors need to manage your nonprofit s documents in the manner the nonprofit expects Do not allow any divergence from the way documents are managed in your nonprofit Basic Components of a Document Preservation Policy Implementing a document management program need not be overwhelming Consider how the following components might be applied in your nonprofit: Policies and procedures: The policies and procedures serve as a framework for the document management system These policies and procedures need to address what is necessary and sufficient The requirements need to be easily understood and user friendly in terms of performance Communication and training: The quality of the training in document management is the second key to its success only behind the policies and procedures needed to establish the program Auditing and monitoring: Auditing and monitoring of the program will need to be an ongoing process There are three primary elements: External audit: An external consultant assesses program This means that the nonprofit brings in an individual from outside of the nonprofit to review and assess the current program Internal audit: The management team or their representatives do a spot check of individuals to see if their records are in compliance If these records are not in compliance, it is documented and included in the employee s performance review The employee can be subject to consequences for his or her noncompliance Record categories: As part of the spot check, the reviewer should determine where particular records should be located and check to see if the documents are where they should be Consistent enforcement: The results of the ongoing auditing and monitoring should be reviewed to determine if further enforcement is necessary to bring about standardized results Continuous Improvement: The program should also contain a continuous improvement aspect to ensure that new processes are adapted to capture further efficiencies and effectiveness (Kahn, 2004).





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OCR - Optical Character Recognition Explained | Learning Center
Optical Character Recognition , or OCR , is a technology that enables you to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data.

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In bankruptcy prediction, and in other classi cation problems, the costs of Type I and Type II errors are important considerations for a decision maker There is evidence of an asymmetric cost structure, with an estimate of Type I error cost that is higher than Type II error cost The cost of Type I error was estimated from the loan loss experience of banks, and the cost of Type II error was the opportunity cost of not lending to a nonbankrupt rm because it was predicted to become bankrupt Past studies employing LDA, ANNs, and GAs do not allow a user to incorporate asymmetric costs of misclassi cation As a result, the Type I and Type II error costs are considered equal in most past studies A probabilistic approach such as logit, however, allows a decision maker to trade off between Type I and Type II error by setting the cutoff probability The technique, however, does not provide any guidelines for deciding on the cutoff probabilities, which makes it dif cult to use Recently, GAs have been used to learn connection weights for an ANN Among the advantages of using GA to train ANN connection weights are exibility of design of the tness function and global search The exibility of the design of the tness function makes it possible to use GAs to learn connection weights of an ANN so that Type I error is minimized Furthermore, the discriminant function learnted by using GA-based ANN is a nonlinear function and is likely to perform better than linear discriminant functions developed by LDA and GAs The preceding discussion provides the basic underpinnings of the bankruptcy prediction problem, that is, information data facts meaning However, it is not until a comparison of the various linear and nonlinear techniques are made and the evidence that Type I and Type II errors are not equal, that actual knowledge or information in context has been supplied to move the decision maker toward the smart data wisdom paradigm shift The knowledge experience context is to recognize that most classi cation systems for predicting bankruptcy have attempted to minimize the misclassi cations The minimizing misclassi cation approach assumes that Type I and Type II error costs of misclassi cation are equal This long-held assumption may be a fallacy Remember that wisdom applied knowledge knowledge experience The lesson to be learned is that there is evidence that these Type I and Type II costs re not equal and incorporating these costs into the classi cation systems can lead to superior classi cation systems The common thread among government and private enterprise is data In the following case, we demonstrate what we stated on page 45 how the enterprise receives data from external sources and transforms this data for internal purposes that translate into higher yield outputs and helps to prevent accounting fraud in the organization The outputs are sent on to other users in the community some of which are end users while others will employ the data as input in their own processes in order to prevent fraudulent activities in their enterprises The purchase, lease, and use of data falls under constraints and agreements, such as generally accepted accounting standards, whereby there is consideration monetary value exchanged for use either explicitly or implicitly Material misuse of these assets can be extremely costly to the organization It is the job of the enterprise executive to.

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This comparison of optical character recognition software includes: OCR engines​, that do the .... Retrieved 2013-09-12. ^ "Top OCR Software". Ocrworld.com.

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Best free OCR software for Windows 10 - The Windows Club
2 Jan 2019 ... This article lists free OCR software and a Microsoft Store UWP app for Windows 10 that can help you convert printed text or PDFs or Images to ...












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