Many organizations face a paradox in managing their data. On the one hand, they take significantly increasing the amount of data, on the other hand, they feel more difficult to extract relevant information from the data. The issue of large companies is that most users do not receive the information they need when they need it and in what form they prefer (usually Microsoft Excel). Surprisingly, most organizations can solve problems with ease, thanks to information resources that exist: the output of existing reports produced by the body current application, data warehouses and third party report provider.
Conventional wisdom says that his report can not be used as a source of data analysis or visualization because they are static: they do not allow users to ask questions about the data and display data different. Thank you for activation report, no longer true: there are now reports that can be changed at the request live, actionable data, to facilitate the analysis, without going through the new database programming .. Most information systems usually offer a large library of existing reports and business documents such as invoices, purchase orders and bills of materials. These systems range from legacy mainframes, ERP, HR and payroll, manufacturing industry-specific systems for core banking, healthcare and retail, if the system is managed internally or by Business data processing outside. This report is the main source of information in most companies.
Using the activation technology to access the report production ratio from these systems provide a systematic solution to access necessary information without the need for expensive programmers and other computer resources. According to research from IBM and industry organizations billions of dollars have on average no less than 48 different financial systems used in the business. In addition, up to 40% of IT budgets can be used for data integration projects to attract these separate databases together. activation technology reports allows the construction of models that perform data extraction and recognition feature intelligent analysis of existing data in the report (usually in plain text format PDF) execution model extracts the desired information in the report and convert the data into useful information, a format readable by the computer. The extracted data can be loaded into the table of valid data, with optional calculated fields of data and research database. Extracting data model has the ability to perform data sorting and filtering functions, as well as the ability to combine data from reports from other sources.
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