Importing hierarchical entitlement data in OIA - part 3
By user12582982 on Feb 28, 2012
Just as I explained in my previous blog entry I will discuss importing account and entitlement information from Oracle Health Insurance (OHI) Back Office (BO) into Oracle Identity Analytics (OIA). The OHI BO application is used by healthcare insurers/payers and supports the administrative processing of member data and claims, as well as the product data (including the brands and available distribution channels) and healthcare procurement data required for this type of processing.
More important I will use the <attributeValue> / <attributeValueRef> element pair in the XML data to be imported into OIA so entitlement data can be defined once and referred to many times from the account data. In this particular case this is very useful since OHI Roles are referred to many times from several accounts.
OHI BO's entitlement data consist of OHI application Roles that contain zero or more so-called 'Moduleautorisaties' (Module Authorizations). This means we deal with hierarchical entitlement data. Similar to what I described in my previous blog entry I have used Talend ELT tool to extract the entitlement data (via SQL) from the OHI database and write these to XML files to be imported in OIA.
For more information about this ELT job design please contact me. Anyhow, in the last step I write the output into XML as can be seen from the first lines below (several elements are expanded '-' and other elements are collapsed '+'):
<?xml version="1.0" encoding="UTF-8"?>
<namespace namespaceShortName="OHI" namespaceName="Oracle Health Insurance"/>
+<attributeValue id="Role_OPL MERK OPL">
As can be seen from these lines all the OHI application Roles are defined in the first <attributeValues> element section. These Roles are then referred to in the <accounts> element section below that, completely compliant with the schema file accounts.xsd as shipped with OIA.
Finally, all the OHI account and entitlement data is then imported into OIA (just as the accompanying glossary data) and correlated to the global users. An example of how the data can be examined within OIA can be seen in the picture below:
Have fun, René!