1. Providing Students with Proper Knowledge and Skills for Analytics and Big Data

2. Serve as Director
Funded by the Louisiana Department of Transportation and Development
Developed LaCrash application to electronically capture crash reporting information
Collect, maintain, integrate, analyze, and disseminate traffic accident data for the state

3. ISDS
HSRG is part of Information Systems and Decision Sciences (ISDS) within the College of Business at LSU
Serve as Assistant Professor of Research
Teach undergraduate and graduate Business Intelligence courses
ISDS 4180
Undergraduate BI capstone course
Traditional course
ISDS 7301
First of four courses within certification program
7 week online course

4. LSU utilizes Moodle for their online course management system

5. Laptops
Students within ISDS and MBA program are required to have their own laptop
Any Intel Core 2, Core i5 or i7 CPU. Intel (i7 recommended) or AMD single core CPU (with a 3 GHz processor speed or faster (multiple CPUs and/or multi-core CPUs are recommended) with Windows 8 (64-bit) or Windows 10 (64-bit)
8GB RAM (16 recommended)
500GB Hard drive
All work is performed locally on their laptops

6. Software SQL PowerPivot Tableau
Free version of Microsoft SQL Server 2016 Express
management-studio-ssms
PowerPivot
Microsoft Excel 2016
LSU has site license for Microsoft Office
Tableau
Free version of Tableau 10

7. Book Created my own textbook using McGraw Hill Create
Utilize only certain chapters from the books I like the most
SQL
Microsoft SQL Server 2012: A Beginners Guide
Business Intelligence
Delivering Business Intelligence with Microsoft SQL Server 2012
PowerPivot
Practical PowerPivot & DAX Formulas for Excel 2010
Tableau
Tableau 9: The Official Guide

8. SQL Express 2016 Topics include
Transactional processing (OLTP)
3rd Normal form
Primary/Foreign keys
Table joins
Writing SQL statements
Restoring databases
Distribute data as .bak files
HSRG utilizes SQL databases to store crash and crash related yearly data

9. Business Intelligence Concepts
Topics include
Analytical processing (OLAP)
Star/Snowflake schema
Extract Transform and Load (ETL)
Data Warehouse
Fact, Dimension, Attribute, Hierarchy
HSRG developed ETL process and created a crash data warehouse (snowflake schema)

10. PowerPivot
Previously taught Multidimensional model (cube) using Sequel Server Analysis Services (SSAS)
HSRG still utilizes a cube
MDX and XML are used for crash reporting website

16. PowerPivot
The Multidimensional model (cube) is massive and requires very technical skills.
Not very intuitive
Currently teach Tabular Model using PowerPivot in Excel
HSRG has PowerPivot models used to analyze data
Demonstrate PowerPivot showing crash model

17. PowerPivot Topics include Loading data into PowerPivot
SQL, Excel, and text files
Integrating data
DAX
Calculated fields
Tabular Model
Pivot Tables
Pivot Charts

22. PowerPivot/SQL
Once a PowerPivot model is built, discuss how SQL views can be created to accomplish the same functionality.
Views
Data manipulation
Case statements
If statements
Multiple table joins

23. PowerPivot Great for Current models Visualization
Ad hoc inquire into data
Quick and easy ‘slicing and dicing’ of data
Easy to build and maintain
Current models
HSRG tabular model has over 12 million records
ISDS course uses a subset of the data, 4 million records
Visualization
PowerPivot is OK for data visualization
In my opinion, it is not the best

24. Tableau Topics include Loading data into Tableau Calculated fields
SQL, Excel, and text files
Do not discuss data blending
Calculated fields
Best practices for data visualization
Charts and graphs
Dashboards

25. Tableau
HSRG uses Tableau to create dashboards to help stakeholders analyze and visualize data
Starting to evaluate Tableau for handling GIS functionality

26. Level 1

27. Level 2

28. Level 3 - Crash

29. Level 3 - Person

30. Level 3 – Crash Normalized

31. Course Project
Students are given a dataset to analyze and must write a formal report and present results.
Use SQL to build a view
Use PowerPivot to analyze data to find points of interest
Use Tableau to build dashboard to further analyze points of interest and look into interaction of variables

32. Contact Information
Cory Hutchinson
Phone: