This document discusses ad hoc analysis, a new feature of Webtrends OnDemand that allows users to re-analyze data from their Webtrends OnPremises installation on demand. It allows email notification of completed analysis jobs and uses daily backups to re-analyze data. Short analysis runs are free while monthly runs require credits. The document provides examples of how ad hoc analysis can be useful for situations like dynamic content delivery, dealing with mistakes, and an analyst's daily work. It highlights benefits like triggering analysis on demand, quickly re-running analyses, and recovering from tagging errors.

1. Leveraging Ad hoc Analysis
Neil Fasteen and Mike Swope
Program Management, Webtrends

2. Agenda
• What is Ad hoc Analysis
• How does it work?
• How can it help me?
• Top 5 Take-aways and The Future…

3. “The usability is good – choices and consequences are clear. I like it. In fact, I
like it a LOT. As you can probably guess.”
“Guys, this is just awesome stuff. This has so many uses and makes setting up
custom tracking about 100 times easier.”
“I am sure software users just lost yet another reason to stay on OnPremises!”
Leveraging Ad Hoc Analysis
INTRODUCING AD HOC
ANALYSIS

4. What is Ad hoc Analysis
• Brings the ability to re-analyze from Webtrends
OnPremises to Webtrends OnDemand
• E-mail notification of job completion
• Based on daily backups
• Daily runs are free
• Monthly runs require credits
• Easy to use

5. What is AHA?
• Control of your Analysis Jobs

6. Configuring a job
• Selectable Start Dates

7. AHA Credits
• Credits required for longer jobs

8. How Does It Work?
• AHA requests run concurrently with the normal analysis.
• On complete, results are published and normal analysis
continues.
Normal Analysis Ad Hoc Analysis
Log Analysis Log Ad Hoc
data Engines data Engines
runs 2+ times daily runs ASAP until “caught
up”
Report Report
Data “publish” and resume Data

9. Leveraging Ad hoc Analysis
EXAMPLES FROM THE
WORKPLACE

10. Dynamic Content Delivery
• Rapidly changing content (e.g Mass
Media)
• High potential for novel report needs day-
to-day
• Short time to deliver analysis results
before losing relevancy

11. Dealing with Mistakes
• Increasing complexity of websites driving
increasing complexity of tagging
• Third party content
• Ability to keep or delete old data sets

12. A Day in the Life of an Analyst

13. A Day in the Life of an Analyst

14. Ad hoc Analysis Take-Aways
• Trigger analysis runs on demand
• Quickly run a full analyses on changing
variables for a report period
• Easy testing and iterating on new report
configurations
• Ability to add history to a new profile
• Easy recovery from tagging mistakes

15. Thank You
Neil Fasteen, Program Manager – Partner Solutions
Mike Swope, Director of Program Management
Neil.Fasteen@webtrends.com
Mike.Swope@webtrends.com
blogs.webtrends.com