5 Things to Know about IBM Datacap
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The purpose of IBM Datacap is to acquire documents, extract useful information from them, and feed the documents into other business processes downstream. Its strength is its ability to perform these tasks with a high degree of automation, flexibility, and accuracy.
At a high level, Datacap functionality can be organized into three areas:
Here are five things to know about IBM Datacap:
After acquiring documents, Datacap proceeds with transforming their contents into actionable data for use in business processes. This functionality is at the core of Datacap and puts into action a wide range of technologies and techniques to represent and manipulate document components, make them more amenable to recognition, isolate and extract relevant data, and assure quality.
The Datacap workflow completes the processing of a batch by persisting the captured documents and metadata to an Enterprise Content Management (ECM) repository. In many cases, it also exports some of the business data to line of business systems such databases or applications. It can output data and contents in a format that is compatible with the input stage of another system, such as IBM Content Manager OnDemand.
Datacap includes libraries to export to IBM and non-IBM ECM repositories, relational databases, XML, and flat files. Datacap integrates with IBM FileNet Image Services, FileNet Content Manager and IBM Content Manager using their respective native APIs. Datacap can also communicate with these or non-IBM repositories using the Content Management Interoperability Services (CMIS) interface. To use CMIS with an IBM content repository the services must be enabled for that repository. The CMIS interface can be used both for importing document definitions in the Datacap Document Hierarchy and for exporting the documents and extracted data to any CMIS-enabled repository, including the cloud-based IBM Navigator.
Datacap offers a number of user interfaces to cover the needs of users, administrators, and superusers configuring applications:
The principles for setting up a Datacap application are easily understood if you visualize a document and the types of data that you are trying to extract from it. A document is made up of pages that are typically identifiable by certain characteristics. Such characteristics include a specific structure, the layout of each page, and the location in the page of the specific pieces of information that you are seeking to extract.
Configuring an application consists of providing Datacap with a combination of visual clues and processing rules from its catalog of rulesets and actions. They drive how to automatically recognize and separate the documents; find, capture, and process the data in them; and transfer both images and data to the back-end systems. You can use FastDoc to model and build most of your applications.
Datacap applications can be further extended using Visual Studio to customize Desktop panels, developing custom actions and new compiled rulesets, and custom reports.
Custom mobile app for iOS and Android can be developed using the Datacap Mobile SDK.