Once the document is uploaded and the tagging is in progress, user might apply the parsing to retrieve the data in the document. For a better quality parsing, users should follow these few best practices :

1. Document original format

The Parser will use the original document formatting as a pattern to be able to process the document data. The result will always be more optimal if the original document has a structured content. A special attention is required for: Information Hierarchy (h1, h2, etc.), lists, bold vs light formats, table structures, etc.

2. Tagging Hierarchy

When creating a template or tagging a document for the first time, it’s important to think about the data hierarchy.

When tagging the document, users should always validate the data on the Hierarchy table on the left of the Screen.

3. Object Associations

All types of objects (process, rules, master data, etc) can have relationships between them, to allow organizations to create associations between their EPC objects. It is important to note that when users tag tables, the first object in the table will be the root object.

When tagging the document, users should always validate the data on the Association table on the left of the Screen.

4. Tagging objects

It’s recommended to tag the integrality of the text as objects. Partially tagged objects might result in errors when the data will be exported.

5. Support for Attributes and Category Types

All Attributes and Category types are now supported in Parser. Some of the supported ones are: Multi-select fields and Categories with drop-down menus, Single Value fields with drop-down menus and Currency fields or double fields

6. Importing Analysis Attributes for Process, Sub-Process and Flow Objects

The Parser can be used to import the relevant attributes contained in the Process Analysis Workbooks for Processes, Sub-Process and Flow Objects.

The attributes available in each Process, Sub-Process, or Flow-Object Analysis Workbook are:

  • Actual Cost
  • Change Over
  • Executions
  • Inventory
  • Operations
  • Processing
  • Transport
  • Waiting
  • Value Type
  • Path
  • Waste Time

Click here for more details on importing analysis data for process objects

7. Importing Measurement Values, Dates and Comments for KPI’s, KRI’s and KCI’s

The Parser can also be used to import measurements for Key Performance Indicators (KPI’s), Key Risk Indicators (KRI’s) and Key Control Indicators (KCI’s).

The information able to be imported are:

  • Measurement Value
  • Measurement Date
  • Measurement Comment
  • Range Type & Range Values

Parser can use the KPI, KRI or KCI name to match existing KPI, KRI or KCI objects for update when the identifier is not available in the uploaded document.

click here for more details on importing measurements for KPI’s, KRI’s and KCI’s

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