Art of BI: Add Comments on Oracle BI Mobile
Author: Christian Screen | | May 6, 2014
- Download BITeamwork 2.8 (or above), Oracle Collaborative BI, and install it on your Oracle BI instance(s)
- Login to your OBIEE Portal and open the portal page which you wish allow commenting
- Add a Text Dashboard Object to the dashboard page
- Check the checkbox for Contains HTML Markup and insert the following JavaScript snippet,
-
<div id="bitwAddCommentBtnOnDash01"></div> <script type="text/javascript"> /* * * CONFIGURATION VARIABLES: EDIT BEFORE PASTING INTO YOUR DASHBOARD PAGE * * */ var tw_obiserversTLD = "http://localhost"; var tw_setAccount = "29894849"; var tw_idToAddButtonTo="bitwAddCommentBtnOnDash01"; var tw_titleForButton="Add a Comment"; var tw_embeddedBIDebug=false; /* * * DON'T EDIT BELOW THIS LINE * * * */ (function() { var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true; dsq.src = tw_obiserversTLD + '/bitw/js/embedded/dashCommentButton.js'; (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq); })(); </script>
-
- Click OK to close the Text Properties dialog box
- Save and run the dashboard page.
- Open your Oracle BI Mobile HD application on your tablet and navigate to the dashboard in question.
- Click the Add a Comment button when the dashboard appears.
- Enter a comment in the dialog window and submit.
- This comment is now stored for this dashboard page and is retrievable via RPD or immediately visible to other users in the Oracle BI portal.
Blog Author
Related Posts
Oracle BI Publisher (BIP) Tips: Functions, Calculations & More
Check out these BI Publisher tips including functions & calculations so you can understand more about the production and support of BI Publisher reports.
Qlik vs. Tableau vs. Power BI: Which BI Tool Is Right for You?
Tableau, Power BI, and Qlik each have their benefits. What are they and how do you choose? Read this blog post for a quick analysis.
How to Index a Fact Table – A Best Practice
At the base of any good BI project is a solid data warehouse or data mart.