A well known approach to separate documents at scan time is the use of barcode labels on the first page of a document. The barcode may also be put on a single separator sheet. If a batch of documents is scanned by Kofax Capture, the barcode will be recognized and the start of a new document is specified.
This approach has been used for several years, but it has two weak points:
1. If the recognition of a barcode fails, the pages of this document are attached to the previous document. So this document is lost. The reason for the failed recognition may be a barcode that was destroyed or blackened
2. Up to Kofax Capture 9 the barcode value could not be used as usable data for the separation.
IBM Content Collector for SAP (ICC/SAP) is an interface for SAP ERP-Systems and IBM archiving systems: IBM Content Manager, On Demand und TSM. SAP provides the standard interface ‘ArchiveLink’ for linking external archiving systems. ICC/SAP is certified for this interface.
The processing of documents captured by Kofax Capture in combination with ICC/SAP, Content Manager and a SAP system can be done with the delivered standard components. However these components are not easy to handle by the end users. Before explaining some optimization with available tools, I want to describe some general capturing scenarios within a SAP ERP-system.
Many of our customers are using systems for automatic document classification and data extraction. ‘Kofax Transformation Modules’ (KTM) is one of these systems. These data capturing systems extract metadata out of the electronic images (these are the scanned pages of the documents, faxes or emails) and release the data and the document to business applications. KTM can be integrated as a module into the capturing solution Kofax Capture (see Stefan Blank’s blog article).
You can read more about classification and extraction with KTM in these older blog articles:
Document classification with Kofax Transformation Modules (KTM)
Kofax Transformation Modules – format locators and dynamic regular expressions – Part 1
Kofax Transformation Modules – format locators and dynamic regular expressions – Part 2
I will use the example of an insurance company and its CRM system, to explain how data extraction programs may achieve faster customer communication and hence achieve better customer satisfication.