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Digitizing Transmuter

Digitizing Transmuter. Problem statement. Extracting relevant information from the electronic media into digitized form and accumulating the information bank for further processing based on the user needs. Solution. “ Digitizing Transmuter ” is the answer to the unanswered question.

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Digitizing Transmuter

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  1. Digitizing Transmuter

  2. Problem statement • Extracting relevant information from the electronic media into digitized form and accumulating the information bank for further processing based on the user needs.

  3. Solution • “Digitizing Transmuter” is the answer to the unanswered question. • As opposed to the general transmuters, Digitizing Transmuter controls the input and renders it onto a output which can be inturn used as an input. Electronic Media Digitizing Transmuter Digitized Information Bank

  4. Digitizing Transmuter • A common barrier for the present transmuters in market is the PDF format. • Pdf provides information based on few parameters viz. Text objects which are considered as one or more glyph shapes representing characters of text. Similarly with the image object. • These parameters makes it difficult for other transmuters to use the information for any further processing • Digitizing Transmuter makes it happen in seconds. It transmutes all the necessary data to more and more sententious and processable data.

  5. Digitizing Transmuter Input PDF file Get co-ordinate space by Transformation matrix Read parameters like height, weight Read line & rectangle based on start & end points Form rows and tables based on the literals Divide rows into columns Process Region or table detection based on connected lines Is parent rectangle No Grow region till next rectangle Yes Region contains literals No Yes Retrieve Headers Does header matches in mapping structure No Yes Fetch Data under the header

  6. Digitizing Transmuter • Mapping file decides the data to be fetched from a input file. • Input string in mapping file is the header under which the necessary data resides. • Other parameters like data type and the names to be appeared in output file are mentioned.

  7. Overview • Process • Submit a electronic form of data viz. PDF, Excel to DT. • Instruct DT of what is needed and what to fetch. • DT performs the parsing instructed by the user with the validation on the parsed data. • Presents the output in digital form viz. DB,XML. • Components • Settings • Parser • Validation Engine • Report Generation

  8. How it work • Settings • This component helps to select the input file, to locate the mapping file and gets the path to produce the output file.

  9. How it work • Parser • Select the parser viz. PDF,Excel,List etc. • Select the file or folder of files to parse. • Validation • Is performed internally after parsing is completed.

  10. How it work • Report Generation • Report generation takes place in 3 types. HTML form CSV form XML form

  11. Achievements • Commercial use of Digitizing Transmuter • RiskSpan Serving the MBS and ABS marketplace, also offers integrated solutions that combine powerful analytics, data and expert advisory services. Is using Digitizing Transmuter for last 12 months

  12. Achievements • Digitized Transmuter handles monthly ABX deals for RiskSpan • Few hundred users access the ABX analysis data on a monthly basis

  13. Achievements • It is estimated that Digitized Transmuter can parse and output data from 7000 deals in 3 working days (24 hrs). • Digitized Transmuter has parsed and rendered 3000 deals in a .lst format in under 3 minutes parsed and rendered 3000 deals 3000 Deals 3000 Deals parsed under 3 minutes

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