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2011 Flotilla / Division Leadership Course Honor Respect Devotion to Duty Data Mining (Finding information in Auxinfo and AuxOfficer) District 13 FLC/DLC.

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Presentation on theme: "2011 Flotilla / Division Leadership Course Honor Respect Devotion to Duty Data Mining (Finding information in Auxinfo and AuxOfficer) District 13 FLC/DLC."— Presentation transcript:

1 2011 Flotilla / Division Leadership Course Honor Respect Devotion to Duty Data Mining (Finding information in Auxinfo and AuxOfficer) District 13 FLC/DLC Development Team

2 Data Mining Definition o “data processing using sophisticated data search capabilities and statistical algorithms to discover patterns and correlations in large preexisting databases; a way to discover new meaning in data”

3 Data Mining OK that was deep Basically it’s the process of looking at o Key metrics o Analyzing the information o Looking for more information based on the analysis Making decisions based on that to improve performance Assessing the impact of those decisions Bottom line… o Getting the information you need to perform your Auxiliary duties.

4 Data Mining Snapshots vs Trends Measurement vs Anecdotal Objective vs Subjective

5 What are my resources Auxdata o Primary Auxiliary data input application. Has many canned reports. Access can be difficult. Auxinfo o Allows the creation of reports based on Auxdata. Access is easy. Auxofficer o Provides member information including qualifications.

6 What are my resources Various other websites o National Sites (manuals, public information etc) o D13 site Links to various sources, canned reports, Unit Officer Reports, Staff officer reports… etc.

7 AUXINFO Today we’ll cover AuxInfo and AuxOfficer So what are some common requests for information?

8 AUXINFO What is it? o Business intelligence tool tied to AUXDATA o (COGNOS POWERPLAY) o Refreshed Weekly Where is it? o https://www.auxinfo.uscg.gov/ Why would I use it? o Unit, facility, and Member Activities, Status, etc You can’t break it

9 HOME SCREEN

10 Data from old AUXMIS system AUXMIS CUBES

11 Pre-canned reports National Reports

12 AUXDATA Cubes

13 CubeWhat’s in it AwardsMember Awards Received DemographicsMember Demographics Member ActivitiesIndividual Data TasksTraining Task Information Unit locationsUnit Locations CompetenciesQualifications Information FacilitiesFacility Data OfficersOffices held (Including Past) Unit ActivitiesUNIT Data AUXDATA Cubes

14 Main Screen

15 Filters

16

17 Right Click to see options Filters – What's the difference?

18 Filters – Nested Rows

19 You can also do this by dragging and dropping Filters – Nested Columns

20 Right Click for options Right Clicking!

21 ButtonFunction Cross tab or Indented Cross Tab Graph results, Type of Chart and Chart Settings Display Options Swap Axis Hide or Show Calculation Rank Suppress Zero Values 80./20 Exception Highlighting Custom Subsets Save and Bookmark Toolbar

22 Hide or Show Columns HideShow

23 Perform arithmetic on cells Calculation

24 Rank by Column or Row Rank

25 Flag Ranges (Remember to select the column or row) Exception Highlighting

26 Grouping Categories Custom Subsets

27 Mouse Tricks

28 Drag and Drop fields to o Filter Add columns or rows o Expand columns or row It’s a drag

29 Export o CSV o XLS o PDF Bookmark o Go back to it later! o Share with others o Email Considerations… Saving your work

30 Honor Respect Devotion to Duty Lets Try a couple reports

31 AUXOfficer

32 What is it? o Replacement for eDirectory Where is it? o https://auxofficer.cgaux.org/ Why would I use it? Find member contact information (Nationwide) Look up Officers (Any Unit) Query for Qualifications Get mailing lists

33 Login

34 Getting a Login

35 Changing a Password

36 Home Screen

37 Things You can Do Browse National Bridge and Staff Get “Staff Lists” Look at Org Charts Browse by Unit

38 Things You can Do Search by Last Name/ Member # or email Search by Unit/Qualification Search by Unit/Office Get Unit information Get Member Information (Contact Info/Quals/Tests Passed)

39 Lists Directory or “Full” List o Looks like a directory Enhanced Email List o List of Emails with Names Plain Email List o Just a list of Emails Plain Email list with Comma o List of Emails separated by a comma

40 Honor Respect Devotion to Duty End of Data Mining Session


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