Life Sciences

Gain Insight Into Siebel User Data With This Inherent Function

siebel-UPT-usage-pattern-tracking-oracle

Life Sciences - How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process
How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process

This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.

Get the Guide

“Customer experience” is all the rage these days. And Oracle has got your back. In a recent major release (IP2015) of its Siebel platform, Oracle introduced a function called usage pattern tracking (UPT). It provides insight into user behavior, similar to web analytics.

Here’s a summary of UPT’s features:

  • Can be used to analyze system usage and intelligently improve customer experience
  • Provides reliable information that can be used to change application configuration and features, and to simplify the user interface
  • Can be enabled by leveraging Siebel inbuilt modules (workflows and runtime events)
  • Allows administrators to review details about when and how often users access the features in any Siebel application
  • Monitor how often users use a Siebel application, screen, view, applet, or business component
  • Monitor how users use a feature in a Siebel application
  • Monitor feature usage after application upgrades or during development cycles
  • Can be configured by administrators to monitor specific user events

For more information on UPT, the IP2015 release of Siebel, or upgrading your existing Siebel applications, fill out the “contact us” form below.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Jothi Selvaraj

With over 17 years of experience, Jothi Selvaraj is a solutions architect in Perficient’s life sciences practice. His expertise lies in the implementation and integration of clinical operations systems. Jothi is an expert in CTMS, EDC, clinical data warehouse, and clinical data analytics solutions. He enjoys helping companies build clinical infrastructure frameworks using the latest technologies. Jothi has a bachelor’s degree in computer science from Bharathiyar University in India. Before joining Perficient (via the acquisition of BioPharm Systems), he worked at IBM, Hewlett Packard, and Accenture. Jothi currently resides in Shrewsbury, Massachusetts.

More from this Author

Categories
Follow Us
TwitterLinkedinFacebookYoutubeInstagram