1. Target was able to determine that a teenage girl was pregnant by analyzing her purchase history and comparing it to patterns they had observed in data from thousands of other customers. They noticed she was purchasing items on their list of the top 25 products commonly bought early in pregnancy. 2. Healthcare organizations are generating vast amounts of data from sources like medical records, prescriptions, reports, and monitoring devices. The average hospital will produce over 2 petabytes of patient data per year by 2015. 3. Big data analytics can be used in healthcare for applications like real-time remote patient monitoring, tracking disease spread through epidemiology, and analyzing personal health and activity data from devices.

1. Presented By:
Dr. Yogita Patil
MBA- HHM 1st year
Symbiosis Institute Of Health Sciences
Pune

3. Why are you sending these
coupons to my teen age
daughter ?
Are you encouraging her
to get pregnant?

4. Few days later …
Hello Target?
I owe you an apology.

5. How did Target find out a teenage girl was pregnant before her fa
The Answer :

7. Datasets which are
 too large,
 grow too rapidly or
 are too varied.

8. By 2015, average hospital will generate 2/3 petabyte (665 terabytes)
of patient data per year.

9. E.g. Patient data
Growing Data sources.
•
•
•
•
Prescriptions
Reports
Appointments
Medical History

10. One Minute On Internet

11. Real Time Health Monitoring
• Gathering and analyzing large streams of “real-time data”
from multiple devices, sensors, etc.
• E.g. home health sensor in bed indicates that patient has
not gotten out of bed for x number of hours.
Nike Fuel :
• Tracks daily activities.
• Tracks each step taken and
calories burnt.

12. Epidemiology
• Analysis of patterns and trends in health issues across
geography.
• Tracking of the spread of disease based on streaming data

13. Epidemiology

14. What's in it for us?

15. How did Target find out about the pregnancy?
• Target stores purchase history of every customer.
• Based on this huge history (“big data”) it knows top
25 products bought by pregnant women.
• It looks for those items in every purchase and
“pregnancy score”.
• It can even predict the due date !!!

16. 
http://www.forbes.com/sites/netapp/2013/04/17/healthcare-big-data/

http://www.slideshare.net/perficientinc/using-big-data-for-improved-healthcare-operationsand-analytics

http://wordlesstech.com/2013/07/31/what-happens-in-one-minute-on-the-internet/

http://b-i.forbesimg.com/netapp/files/2013/04/NetApp_Healthcare_rev7EE.jpg

http://www.nike.com/cdp/fuelband/us/en_us/

http://wot.motortrend.com/fords-new-driver-stress-estimator-system-screens-calls-basedon-traffic-224317.html/ford-biometric-seat-research/#axzz2eVnxepo4

http://www.google.org/flutrends/

http://www.hitconsultant.net/wp-content/uploads/2012/12/Understanding-How-Big-DataFlows-in-Healthcare-Infographic.jpg

http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_inno
vation