10/27/2014. Improving the Student Experience with Analytics and Big Data

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Deborah Manning
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1 Improving the Student Experience with Analytics and Big Data 1

2 About Me 2

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6 About Arizona State University 6

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8 ASU Total Student Enrollment 57,543 58,156 61,033 63,278 64,394 67,082 68,064 70,440 72,254 73,378 76,

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11 One of America s Top 25 Thinkers Michael Crow, President of ASU (10+ year tenure) 11

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13 ASU Trivia Who Created Sparky, the Official Mascot of ASU? 1) ASU Fine Arts Student 2) Walt Disney 3) Disgruntled Disney Employee 4) Andy Warhol 5) None of the Above 13

14 Agenda Vocabulary ASU s Analytics Enterprise Data Warehouse Reporting Environment Dashboards Where Big Data Fits In Improving Student Success with Analytics Demonstration Best Practices/Smart Strategies Questions Vocabulary 14

Data Fits In Improving Student Success with Analytics

15 4 Words to Remember Data Warehouse Dashboard Business Intelligence Analytics Data Warehouse What is Data Warehouse? Single Source of the Truth Central Repository of an Organization s Data Can Pull Data from Multiple Transactional Systems Allows Standardization of Data Structure Consolidates and Optimizes Data for Reporting and Analysis 15

Single Source of the Truth Central Repository of an Organization s Data Can Pull

16 Dashboard A dashboard is a report interface that, somewhat resembling an automobile's dashboard, organizes and presents information in a way that is easy to read and understand. Dashboard 16

17 Business Intelligence(BI) Definition I Like Is a set of technologies and processes that allow people at all levels of an organization to access and analyze data Gartner An interactive process for exploring and analyzing structured and domain specific information to discern trends or patterns, thereby deriving insights and drawing conclusions. The business intelligence process includes communicating findings and effecting change Analytics 17

analyzing structured and domain specific information to discern trends or patterns, thereby deriving insights

18 ASU s Analytics 18

19 10/27/2014 ASU Pioneers in BI/Analytics ASU Data Warehouse Team Circa

20 Contributors to Analytics ASU s Analytic Products Enterprise Data Warehouse Reporting Environment Dashboards 20

21 #1 Enterprise Data Warehouse (EDW) #1 Enterprise Data Warehouse (EDW) (Simplified) 21

22 What Goes in EDW? #2 Reporting Environment AKA MyReports 22

23 We Have Rocket Scientists at ASU Dr. Phil Christensen ASU And Student Rocket Scientists 23

24 MyReports Tool for Rocket Scientists Oracle/Hyperion Interactive Reporting (formerly Brio) Ad Hoc Reporting Capability 24

25 Sample Report Report of Retention Information Not Everyone is a Rocket Scientist! *Apologies to Gary Larson 25

26 #3 Dashboards 26

27 Who is MMC? Dr. Michael Crow, President of ASU 27

28 Non Rocket Scientist Query Tool analytics.asu.edu 28

29 Dashboard Examples Where Students Are Coming From 29

30 Where Students Are Coming From From ASU s Admissions Dashboard Arizona Community Colleges Info 30

31 Monitoring Class Enrollment From ASU s Course Enrollment Management Dashboard What is the Balance of My Accounts? From ASU s Financial/SuperReport Dashboard 31

32 Research Administration From ASU s Research Dashboard Research Administration (More) From ASU s Research Dashboard 32

33 Faculty Profile From ASU s Faculty Dashboard Faculty Instruction/Research From ASU s Faculty Dashboard 33

34 Learning Analytics From ASU s Blackboard Dashboard Review ASU s BI/Analytic Products Enterprise Data Warehouse Reporting Environment Dashboards 34

35 Big Data 35

36 1943 Records Department of FBI 36

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40 ASU Use Cases For Big Data Aggregating Blackboard Activity/LMS Data Up to 2 Million Rows of Data a Day Crunching Apache Web Logs of Student Portal Usage, Devices, Browsing Behavior, etc. Being Replaced by Google Analytics/Splunk Chat Analysis Negative/Positive Sentiment, Chats Gone Bad Survey Analysis NGrams, Negative/Positive Words Adding Big Data to Architecture (Simplified) (Simplified and Adding Big Data) 40

41 Typical Higher Ed Subject Areas Big Data Extends Data Capability Unstructured/Web Swipe/Sensor Data Social Media 41

42 Improving Student Success with Analytics 42

43 One Stop Shopping Student Portal Google Analytics on These Pages 43

44 Improve Student Experience with Data Heat Maps 44

45 Heat Maps Student Portal Service Page Built in Salesforce 45

46 Analytics from Salesforce eadvisor.asu.edu 46

47 Students Know How They Stand Order and Track Classes for Success 47

48 Degree Search Tool Integrated Class Search 48

49 Tracking Student Progress From ASU s eadvisor Dashboard Finding Student Not Registered 49

50 Early Warning/Retention Tool From ASU s Retention Dashboard Retention Dashboard Student Detail 50

51 Retention Dashboard (cont.) From ASU s Retention Dashboard Clean Integration to Multiple Systems Dashboard Links Directly to ERP, Eventually to Salesforce 51

52 Gains in Freshman Retention Rates First Time Full Time Freshman Demonstration 52

53 Best Practices/ Smart Strategies Get Leadership Support Dr. Elizabeth Phillips Former Provost of ASU Creator of eadvisor Dr. Michael Crow President of ASU One of America s Top 25 Thinkers Dr. Morgan Olsen CFO of ASU Data Driven 53

54 Build Dedicated BI/Analytics Team BI Staff Director (1) and Student Workers (4) 14 Data Warehouse Team (7) Dashboard/Reporting Team (6) Data Warehouse Oracle 11G RAC Hosted Both Buy (EPM)and Build 400 GB ETL Ascential/DataStage Hosted BI Tools ~4000 Queries/Day ~700 Hits/Day Hosted at ASU 4% Use Students Student Developers in the Cave 54

55 Build Data Driven Culture Policies/Appropriate Security In Place Data Policies Circa

56 Dashboards Make Consumption Easy Focus on Data/Information Delivery, Not Beautifully Built Data Warehouse Dashboard Can Help with Transparency 56

57 Make Data/Information Actionable Use Scorecards to Measure 57

58 Create Analytic Mission Statement We are Enterprise Information & Analytics. We construct and reconcile integrated information in order to provide open access to trusted data for campus consumption. We advocate the use of business intelligence in operational reporting and strategic decision support. We measure our success by our customers' successful use of and continued interest in our product. ( Put Analytics on Top of Your Analytics ASU s Dashboard are Featured in Chapter of Wayne Eckerson s Book From ASU s Dashboard Information Dashboard 58

59 Put Analytics on Top (cont.) From ASU s Dashboard Information Dashboard Consider Predictive Analytics 59

60 Questions? 60

61 Thank You. John Rome Arizona State University 61

BI, Analytics and Big Data A Modern-Day Perspective

BI, Analytics and Big Data A Modern-Day Perspective By: Elad Israeli, Co-Founder, SiSense http://www.sisense.com Business Intelligence (Analytics) A set of theories, methodologies, processes, architectures,