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DoQ—One-Click Tool to Bulk-Load Docs in Oracle HCM Cloud
No more DAT file (metadata) preparation, manual data validation, and other painstaking processing to bulk-upload documents in Oracle HCM Cloud. Move documents en masse with a single click using DoQ.
Challenges in Bulk-Loading Employee Documents
Every new Oracle HCM Cloud deployment necessitates migration of large numbers of employee-related documents from legacy systems. Similarly, during mass recruitment, a large number of employee records are created and relevant documents have to be attached to them. This process of uploading employee documents is fraught with pain for business users.
While HCM Data Loader (HDL) developed by Oracle for bulk-uploads addresses many of the limitations that its predecessor File Based Loader (FDL) had, the tool requires technically skilled personnel to process the documents. Due to missing pre-validation, the risk of human errors is ever present and the hard-to-understand error messages make rectification difficult. All of these make the bulk document uploading process highly cumbersome.
How DoQ Integrator Makes Bulk Document Uploads Simple
DoQ links third-party application data with Oracle HCM Cloud and leverages Oracle’s web services to bulk transfer employee documents to the Cloud. At the core of the bulk-loading processes are DAT files that contain all the metadata required to process and attach employee documents.
DoQ Integrator adopts an approach that is different from other data loader tools, whereby users can prepare the documents to be attached using a simple Excel sheet—a tool that all business users are familiar with. DoQ’s Auto-Cloud Upload option takes care of the rest.
User prepares the source folder
User enters environment address and login credentials
User selects the source folder and starts the process
Auto-cloud upload
User prepares the source folderUser enters environment address and login credentialsUser selects the source folder and starts the processAuto-cloud upload
To initiate upload, business users have to create only two things: a source folder with all the documents to be attached and a simple Excel sheet containing all the corresponding information. After logging into DoQ, they select the folder to be processed. DoQ generates the necessary DAT files, executes the required validation, and automatically uploads the documents in Fusion HCM Cloud—all at a single click.
Auto-Cloud Upload Processes Triggered By DoQ
01
File Processing
The attachments and Excel data sheet in source folder are processed
02
DAT File Generation
A DAT file is created and zipped along with the attachement files
03
Upload to UCM Server
The ZIP files are uploaded into the intermediate UCM server
04
Transfer to HCM Server
The data in the ZIP files are loaded into the HCM server
05
Update to Person Record
The data after verification is updated in Person Records in Fusion HCM
1. File Processing
The attachments and Excel data sheet in source folder are processed
2.DAT File Generation
A DAT file is created and zipped along with the attachement files
3.Upload to UCM Server
The ZIP files are uploaded into the intermediate UCM server
4.Transfer to HCM Server
The data in the ZIP files are loaded into the HCM server
5.Update to Person Record
The data after verification is updated in Person Records in Fusion HCM
Simple Setup: Setting up DoQ is quite easy. Refer to our Quick Setup Guide for brief instructions on how to download, configure, and run DoQ. For detailed instructions on how to navigate the features, our DoQ User Guide will come in handy.
DoQ Features
Built-in algorithm to automatically batch upload documents
User-friendly interface to track upload stages
Simple, automated operations for business users
Access control to ensure system security
Manual upload option for advanced technical users
Integration with platform-specific data extraction tools
DoQ supports all formats supported by HDL
.DOCX
.DOC
.PDF
.TXT
.JPEG
.PNG
Benefits of DoQ Integrator
Removes the complexity of uploading documents in Oracle HCM Cloud
Empowers business users to undertake document uploading by themselves
Overcomes the single-upload limitation of HDL through batch processing
Reduces errors caused by manual creation of DAT files
Reduces data migration failure through automated prevalidation