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BI content management needs after regulatory approval are especially great in the areas of quality control, manufacturing, marketing, and sales. Voluminous documents will be generated by quality-related processes that will handle corrective and preventive action reports, electronic batch records, consumer complaints and adverse event reports, quality audit trails, deviation dashboards, and non conformances reports, among others. Thousands of BI reports and agnostic documents generated over a period of one to three or more years necessitate a formal document control process to ensure that documents are not lost, and that they can be tracked, retrieved, revised, and approved easily. Without an efficient system for managing documents, thousands of man-hours will be spent in even the simplest tasks.The ARMO eDiscovery Solution
The eDiscovery BI document management agent software based on web services provides a solid foundation for effective document control that will help realize substantial organizational goals by simplifying work flows, promoting efficiency, making enterprise collaboration and compliance easier.Technology
The following picture depicts how or eDiscovery agent fits into the intranet environment.
Below are some of the benefits of using eDiscovery throughout
Substantial benefits accrue from setting up BI web services with their employees, customers, partners, and suppliers. These benefits include:
More efficient supply chains
More effective partnerships
New revenue opportunities
Increased customer satisfaction and loyalty
Accurate and timely compliance to regulatory bodies.
Increased Efficiency Through Automation.
Centralized Repository Makes Search and Retrieval Easier.
Web-Based Platform Provides Easy Access.
Automatic Revision Control Reduces User Mistakes.
Virtual Workspace Makes Collaboration Easier.
Electronic Approval Fosters Efficiency.
Integration Helps Leverage Existing Systems.
Organize all the data with respect to concept hierarchy and easy to access.
Generate accurate picture of processed files, non-processed files, exceptions, duplicate file
Filtering of files.
Collect and store all data via secure method.
Remove all the duplicate data and filter out unwanted files.
Analyze data and estimate the cost with regards to data volume & no. of pages in the data.
Convert the data into images or have them in their Native file format.
Move evaluated data to production use by converting them to TIFF & PDF types.
Also conversion to Native Production, Database Production, and Production types.
Create concept folders and store the data in them with respect to data concepts.