The Society of Women Engineers

Transcription

1 The Society of Women Engineers TEAM 8 Josh Park Shuying Chen Chi-Cheng Lo Shreya Chaganti Yih-Chuen Yen Nishant Lokhandwala

2 Agenda 1 2 Introduction to SWE Project Benefits EER Diagram Relational Diagram 3 Relations Screenshot 4 5 & Benefits 5 Analysis

3 Part 1

4 Society for Women Engineers (SWE) National non-profit student organization that aims to encourage and empower young women to reach their full potential as engineers Established Sections 300 Student Sections 17,000 Members

5 Project Introduction GOAL Increase SWE s member engagement by designing a database and queries which help SWE to analyze its members career interests and the performances of its events. Project Semester Timeline Flat File Excel File Prototype Relational Google Form Benefits Optimize event management through strategic planning Develop membership engagement value based on event participation Increase hiring rates of graduating members Identify prime careers, industries, and jobs based on member skills

6 Part 2

7 EER Diagram

8 Relational Schema Entities 1.Event (EID, event date, year, start time, end time, Committee ID[4], Type, Event Name,location) 1a. Committee Meeting (EID[1], Important Decisions) 1b. Academic (EID[1], Description) 1c. Outreach (EID[1], Description) 1d. Industrial (EID[1], COID[6], Company name, Company Representative, Description) 1e. General Meeting (EID[1], Description) 1f. Social (EID[1], Description) 1g. Recruiting (EID[1], Description) 2. Participant ( Address, First Name, Last Name, Phone) 2a. Member ( Address[2], Major, Graduation Year, National Member?, Mentor Address[2a], Member Start Date) 2aa. Officer ( Address[2], Title, Biography, Photo, Texting?, Birthday, Side of Campus, Car?) 2ab. General Member ( Address[2], Car?) 2ac. Alumnus ( Address[2]], Employment Status) 2b. Non-member participant ( Address[2], Description) 3. Partner (PID, Last Name, First Name, Point of Contact First Name, Point of Contact Last Name) 3a. Industry (PID[3], Company Name, Company Type) 3b. Berkeley Internal Organization (PID[3], Organization Name, Organization Type) 3c. Vendor (PID[3], Vendor Name, Vendor Address) 3d. Sponsor (PID[3], Sponsor Org Name, Sponsorship Amount)

9 Relational Schema Entities 4. Committee (CID, Committee Type, number of officers, number of members) 5. Transaction (CID, amount, description, date, time, Event ID[1], Exec ID[4a], current balance) 5a. Cash Inflow (TID[5], Sponsor ID[3d], From, Occurrence Type) 5b. Cash Outflow (TID[5], To) 6. Company (COID, Company Name, business type, Company Contact Name, Company Contact , Company Contact Phone) 7. Job (COID[6], JID, Title, Salary, Job Type) 8. Skill (SID, Skill name) 9. Location (LID, Address, Building, Room, Food/Drink Allowed?, Capacity) 10. Faculty Sponsor (FID, Faculty First Name, Faculty Last Name, Position, Department Name, Faculty Address, Faculty Phone, Previously Sponsored?)

10 Relational Schema Relationships 11. Skill for Job(Skill ID[8], Job ID[7]) 12. Skill for Event(Event ID[1], Skill ID[8]) 13. Company Supports Event(Company ID[6], Event ID[1], Type of Support) 14. Company Employs Alumnus (Company ID[6], Job ID[7], Alumni Address[2ac], Year of Hire) 15. Member Volunteering (EID[1], Member Address[2a], CID[4], Task) 16. Member Engages Partner (Member Address[2a], PID[3]) 17. Skill Possessed by Member (Skill ID[8], Member address[2a], Certificate, Year of Experience) 18. Event Coordinator (Event ID[1], Officer ID[2aa]) 19. Nonmember Attendance (Event ID[1], NonMember Participant Address[2b]) 20. Monthly Digest (PR ID[4e], Alumni Address[2ac], Month & Year) 21. Weekly Digest (PR ID[4e], General Member Address[2ab], Date)

11 Relational Schema Relationships 22. Partner NonMember Participation (Non-Member Participant Address[2b], PID[3], Type of Participant) 23. Member RSVP Event (Member Address[2a], EID[1]) 24. Member Attendance (Member Address[2a], EID[1]) 25. Officer in Committee (Officer Address[2], Committee ID[4], Type of Officer) 26. Faculty Department Supports Event (Faculty Department ID[10], Event ID[1]) 27. Partner Generally Supports Event (Partner ID[3], Event ID[1]) 28. Committee Contacts Partner (Committee ID[4], Partner ID[3]) 29. Committee Contacts Non-Member Participant (Committee ID[4], Non-Member Participant Address[2b], Date of Contact) 30. Non-Member Volunteering (Event ID[1], Nonmember Address[2], task) 31. Alumnus s Job (Alumnus address, Job ID, Company ID, Salary, Start Date, End Date)

12 Part 3

13 Relationship

14 Part 4

15 Query 1: Procedure: Max Which are the best dates to schedule certain events in order to maximize attendance? Constraints Years of Analysis: No more than two events in the same week Duration of predicted date is based on past data Organizational Benefit: CALENDARING Re-strategize or re-vamp event type if it has seen declining attendance to optimize event calendaring

16 SQL Code: SELECT e.eid, COUNT([m. Address)], e.date FROM Event e, Member_Attendance m,nonmember_attendance n WHERE e.type="general Meeting" AND e.eid=m.eid = n.eid AND m. _address=n. _address GROUP BY e.eid; Cubic Interpretation:

17 Result and Figure Recommended Date Predict Attendance

18 Query 2: Procedure: Which members should be prioritized for limited capacity events based on the level of engagement? Organizational Benefits: Engagement Rate: Gold Level: top 25 percentile Silver Level: top 50 percentile PRIORITY SYSTEM An event registration system where priorities will be given to members who have contributed extensively to the organization CRITERIA Attendance, RSVP, Volunteering data based on # of Event(s) Officers should be prioritized Member has higher priority than non-member

19 Count of Attendance SQL SELECT [Member Address], Count([Member Attendance].[EID]) AS CountOfAttendance FROM [Member Attendance] GROUP BY [Member Address]; Engagement Index Data SQL SELECT [Member].[ Address], [Count of Attendance].[CountOfAttendance], [Count of RSVP].[CountOfRSVP], [Count of Volunteering].[CountOfVolunteering], [Count of Title].[CountOfTitle] FROM (((Member LEFT JOIN [Count of Attendance] ON Member.[ Address] = [Count of Attendance].[Member Address]) LEFT JOIN [Count of RSVP] ON Member.[ Address] = [Count of RSVP].[Member Address]) LEFT JOIN [Count of Volunteering] ON Member.[ Address] = [Count of Volunteering].[Member Address]) LEFT JOIN [Count of Title] ON Member.[ Address] = [Count of Title].[ Address]; Count of RSVP SQL SELECT [Member Address], Count([Member RSVP Event].[EID]) AS CountOfRSVP FROM [Member RSVP Event] GROUP BY [Member Address]; Count of Volunteering SQL SELECT [Member Address], Count([Member Volunteering].[EID]) AS CountOfVolunteering FROM [Member Volunteering] GROUP BY [Member Address]; SQL Output Count of Title SQL SELECT [ Address], Count([Officer].[Title]) AS CountOfTitle FROM Officer GROUP BY [ Address];

20 Weight of Volunteering is higher than RSVP Excel Formula: INDEX VALUE = 1.5 * CountOf_Attendance / AVG(CountOf_Attendance) * CountOf_RSVP / AVG(CountOf_RSVP) * CountOf_Volunteering / AVG(CountOf_Volunteering) + 30 * CountOf_Title Officer is prioritized Output:

21 Procedure: Query 3: Regression Which companies are more likely to hire based on industry outlook and past hiring history? Organizational Benefits: Sample Companies: HIRING RATE Predicting which companies would hire more would allow more members to target the firms for full-time positions SPONSORSHIPS SWE can reach out to companies that have hired alumni and leverage network connections to pursue sponsorship and partnership opportunities.

22 Regression Analysis: Change in Hiring by Year SQL Code: SELECT COID, count(cea.alumni_ _address) as Total Alumni Hired, C.Business_Type as Industry FROM Company_Employs_Alumnus CEA, Company C WHERE CEA.[Year of Hire] = 2016 and CEA.COID = C.COID GROUP BY COID UNION SELECT COID, count(cea.alumni_ _address) as Total Alumni Hired, C.Business_Type as Industry FROM Company_Employs_Alumnus CEA, Company C WHERE CEA.[Year of Hire] = 2015 and CEA.COID = C.COID GROUP BY COID UNION SELECT COID, count(cea.alumni_ _address) as Total Alumni Hired, C.Business_Type as Industry FROM Company_Employs_Alumnus CEA, Company C WHERE CEA.[Year of Hire] = 2014 and CEA.COID = C.COID GROUP BY COID

23 Output Regression Analysis:

24 Query 4: Procedure: What career should a member pursue and which alumnus should be her mentor based on the member s skill sets? Organizational Benefits: Skill Set: Match MENTORSHIP Top 5 Skills 10 skills group Interested Career Members are matched with alumnus based on their skill sets. Alumnus then become the mentors and help mentees to develop their skills CAREER Based on skills sets of both alumni and members, career options will be recommended to members

25 SQL Code: Query 1: Alumni Skills SELECT * FROM Skill Possessed by Member s1, Alumnus a WHERE s1.member Address [2a] = a. Address Query 2: Student Skills SELECT* FROM Skill Possessed by Member s1, Member m WHERE s1. Member Address [2a] = m. Address AND NOT IN (SELECT a. Address FROM Alumnus a)

26 Python Code: Sample Skill-Matrix

27 Sample Result: Python Code:

28 Query 5: Procedure: What events are most effective in terms of expenditure, cash inflow, and attendance? What is the ROI(Return of Investment) for each event? Organizational Benefits: Efficiency The organization can determine which events get more value per dollar spent, and therefore determine how to reprioritize resources for the future. Event Types: Analytics Social Outreach Industry Having this index will allow SWE to analyze types of events that garner the most engagement.

29 SQL Code Outflow by Event SELECT Transaction.EventID, sum(transaction.amount)*(-1) FROM [Transaction] INNER JOIN [Cash Outflow] ON Transaction.TID = [Cash Outflow].TID WHERE Transaction.Description = "general expense" GROUP BY [EventID]; Inflow by Event SELECT Transaction.EventID, sum(transaction.amount) FROM [Transaction] INNER JOIN [Cash Inflow] on Transaction.TID = [Cash Inflow].TID WHERE Transaction.Description = "revenue" GROUP BY [EventID]; Event Attendance SELECT [EID], Count([Member Attendance].[Member Address]) AS EventAttendance FROM [Member Attendance] GROUP BY [EID]; Event ROI SELECT Event.EID, Round(100*[Event Attendance].[EventAttendance]/[Event Outflow].[Expr1001], 3) AS [People per Dollar], Round([EventInflow].Expr1001/[Event Outflow].[Expr1001], 3) AS [Revenue by Expenses] FROM (((Event LEFT JOIN [Event Attendance] ON Event.[EID] = [Event Attendance].[EID]) LEFT JOIN EventInflow ON Event.[EID] = EventInflow.[EventID]) LEFT JOIN [Event Outflow] on Event.[EID] = [Event Outflow].[EventID]);

30 Sample Output Excel Analysis

31 Part 5 Analysis

32 NORMALIZATION: 1NF Non-Member Volunteering (Event ID[1], Nonmember Address[2], Task) Remove multi-valued attributes 1. Non-Member Volunteering (Event ID[1], Nonmember Address[2]) 2. Non-Member Volunteer Task (Event ID[1], Nonmember Address[2], TaskID) The relation is in Boyce-Codd Normal Form

33 NORMALIZATION: 2NF Job (COID[6], JID, Title, Job Type) Remove partial dependencies 1. JobInCompany (COID[6], JID, Title) 2. JobTitle (JID, Job Type) The relation is in Boyce-Codd Normal Form

34 NORMALIZATION: 3NF Location (LID, Address, Building, Room, Food/Drink Allowed?, Capacity) Remove Partial Key Dependency 1. Location (LID, Address, Building, Room) 2. RoomDetails(Address, Building, Room, Food/Drink Allowed?, Capacity) The relation is in Boyce-Codd Normal Form

35 Thank you We really enjoyed this semester!!