1. Analyzing Business Trends in THD Led by Terrice McClain and Jen Paulin
Adirondack Solutions Users Group 2017
Analyzing Business Trends in THD Led by Terrice McClain and Jen Paulin
Tuesday 11:00AM – 12:00PM

2. Agenda Data Analytics: How THD Can Help
Value Added from Data Analytics
Foundational Skills
Examples
Discussion
Questions
THD has so much data available for you; are you using it to its full potential

3. Data Analytics: How THD Can Help
Data analytics are the qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns.

4. Data Analytics: How THD Can Help
QUALITATIVE data points in THD (just a few examples):
Responses to application questions
Cancellation reasons
QUANTITATIVE data points in THD (just a few examples):
Billing amounts
Assignment numbers
Cancellation numbers
Application numbers

5. Data Analytics: How THD Can Help
EXTRACTING and CATEGORIZING data must mean we’re talking about… Reports!!
Scheduled actions (reports sent via )
DIM action (exports to flat-files)
Direct database connections (data warehousing)
Reports in THD

6. Data Analytics: How THD Can Help
Reports can help IDENTIFY patterns and trends
These patterns and trends can be ANALYZED by staff developing
interventions or policy in response to these trends
Analytics are not reactionary
The process allows you to anticipate and pre-emptively respond to anticipated trends based on past experiences

7. Value Added from Data Analytics
Cost Reduction
Faster decision making
New products and services
Identifying trends allows you to anticipate and respond to your students’ needs

8. Foundational Skills: Aggregate SQL Functions
Getting the most out of your data…
Instead of just displaying data, use the field action options to do the analysis work for you!
Keep these options in mind when running statistics.
Field Action Options:
(none): default
Asc: Sort A-Z
Desc: Sort Z-A
Count: Returns number of
times field occurs
Sum: Totals field
Avg: Averages field
Min: Minimum value
Max: Maximum value
Sample of Sum (# of beds available and beds filled)

9. Foundational Skills: Report Field Functions
Report functions are meant to help you format data or perform actions on that data to achieve your desired results
Combine these functions with an Aggregate SQL function for even more fun with your data!
This function will give you the date 5 days after
the application received date. Use it to provide a
deadline in an automatically generated .

10. Foundational Skills: Criteria Functions
Criteria functions limit the results that will display.
Criteria functions are dynamic and will re-run every time the report is refreshed.
This is a great option for date- based reports for alerts and scheduled report s.
This function will give you assignments with check out
dates from the last 9 months.

11. Example: Applications
Scenario: Need to identify the peak application period for each term in order to assess a fee for “late” applications.
Sample Reports:
Pinpoint peak application times by week
Review persistence for late applicants (i.e., is it worth the last minute scramble)
While you house all incoming students, more and more are applying late leading to a last minute scramble for assignments. You want to identify the peak application period for each term in order to assess a fee for late applications.

12. Example: Applications by Week
DATENAME(year, qryApplication.APP_RECEIVED)+' - Week '+RIGHT('00'+ISNULL(CONVERT(varchar, (DATENAME(week, qryApplication.APP_RECEIVED))),''),2)

13. Example: Applications by Week
While you house all incoming students, more and more are applying late leading to a last minute scramble for assignments. You want to identify the peak application period for each term in order to assess a fee for late applications.

14. Example: Cancellations by Applicant Month
RIGHT('00'+ISNULL(CONVERT(varchar, (DATEPART(month,qryApplication.APP_RECEIVED))),''),2)
+' - '+DATENAME(month, qryApplication.APP_RECEIVED)

15. Example: Damage Billing
Scenario: Attempting to evaluate the efficacy of your new damage billing awareness campaign
Potential Reports:
Compare damage costs pre/post campaign
Pinpoint high damage times to target campaign
Pinpoint high damage areas to target campaign

16. Example: Damage Billing by Week
DATENAME(year, VWREPORTVANDALISM.ItemDate)+' - Week '+RIGHT('00'+ISNULL(CONVERT(varchar, (DATENAME(week, VWREPORTVANDALISM.ItemDate))),''),2)

17. Example: Damage Billing by Week
While you house all incoming students, more and more are applying late leading to a last minute scramble for assignments. You want to identify the peak application period for each term in order to assess a fee for late applications.

18. Example: Max Damage Billing per Week
DATENAME(year, VWREPORTVANDALISM.ItemDate)+' - Week '+RIGHT('00'+ISNULL(CONVERT(varchar, (DATENAME(week, VWREPORTVANDALISM.ItemDate))),''),2)

19. Example: Cancellations
Scenario: Asked to identify expected attrition rates for each term in order to keep occupancy above 98%.
Potential Reports:
Cancellation frequency per term / Cancellation frequency per term by cancellation reason
Which terms have higher cancellation rates?
When are key cancellation times per term?  Are other university deadlines tied to these times?

20. Example: Cancellations by Week
DATENAME(year, qryAssignment.CancelDate)+' - Week '+RIGHT('00'+ISNULL(CONVERT(varchar, (DATENAME(week,qryAssignment.CancelDate))),''),2)

21. Example: Cancellations
While you house all incoming students, more and more are applying late leading to a last minute scramble for assignments. You want to identify the peak application period for each term in order to assess a fee for late applications.

22. Example: Cancellations Reasons by Month
RIGHT('00'+ISNULL(CONVERT(varchar, (DATEPART(month,qryAssignment.CancelDate))),''),2)+' - '+ DATENAME(month,qryAssignment.CancelDate)

23. Discussion
Other Scenarios?
What’s working on your campus?

24. Resources MyASI Training Central:
ASUG presentation files (including this one!)
THD Videos (including overviews)
THD Resources (including a function cheat sheet)
Adirondack Solutions Facebook Group
Because sharing is caring 

25. Contact Information
Thank you for participating!
Should you have any questions regarding this presentation, please use the contact information below:
Jen Paulin Terrice McClain
x x 212