Big data can drive insight for all companies, large and small. With diverse data sources, healthcare companies can merge patient records with diagnostics, education organizations can better measure and monitor student performance from a variety of inputs, and in the public sector, disparate data can be used to improve operations. In this session, we will take a whirlwind tour of industry examples with a variety of solutions from SQL to APS, as well as Hadoop, Microsoft Cortana and Power BI. And learn firsthand how North Texas Tollway Authority leverages big data to improve the customer experience on the roadways.

1. MT32
How relational (SQL) and
unstructured data (Hadoop)
learned to get along
David Leibowitz, Dell EMC
Stephen Kyriakos, North Texas Tollway Authority
Larry Levy, Microsoft

2. “The computer isn’t the thing.
The computer’s the thing that
gets us to the thing”
- Joe MacMillan

3. 3
Big Data

4. 4
What Can I Do
About It?
When Will it
Happen?
Why Did it
Happen?
What
Happened?
Questions asked of Big Data
Innovation
Complex implementations
Spreadmarts
Siloed data
Transactional systems
Value
Enterprise data warehouse
OLAPETL
Operational Reporting
Machine learning
Any dataIn-memory
Internet of Things
Optimization &
StimulationHadoop
DashboardsAd hoc analysis
Predictive Analytics
Data mining

5. Example of the Harmony of
Structured & Unstructured
Data:
Healthcare

6. Case Study:
Fullerton Health

7. Example of the Harmony of
Structured & Unstructured
Data:
Public

8. Case Study:
North Texas Tollway
Authority

9. 9
BI System – 0 to 70 MPH

10. 10
Theirs Theirs

11. 11
Ours

12. 12
Everyone drives on toll roads
$9.5 Billion in new projects

13. 13
First to use transponder as
a method for toll collection
First to convert
entire system to ETC
Paving the way

14. 14
• Public entity / Private bonds
• Multiple / diverse audiences
• Blind to 20% of customers
• Capture data at 70 MPH
It’s complicated

15. 15
BI solves the complicated
7.4 million customers
2.1 million daily transactions
97% customer satisfaction
One of the fastest growing regions in the U.S.

16. 16
It’s complicated.
How we did it
Evaluated resources
Talked to the business
Reviewed infrastructure
Made a plan

17. 17
Why BI?Inventoried data
Variety
Velocity
Venue
Volume

18. 18
Define the “to be” state
Manage hybrid workloads
Integrate with business partners
Self-Service and Full-Service Analytics
Extend the solution

19. 19
Delivered CARS

20. 20
Become Your
Own Architect
We can purchase this photo if you like it.
It speaks to finding a solution that works – cutting through
layers in order to get what you need.
Defined our “To Be” state
Extend the BI team
Empower usersBe your own architect

21. 21
Our Next Steps

22. Example of the Harmony of
Structured & Unstructured
Data:
Education

23. 23
Demo:
Student Analytics with Education Data
Management

24. 24
Getting Started

25. 25
Stakeholders
Procurement
PMO
It takes a village
Lessons Learned

26. Data Modernization &
Becoming Future Ready

27. 27
Key takeaways
Complicated is doable
Serve the business
Build a flexible, scalable solution
Plan your work, work your plan