Case Study
08/21/2018
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At NTT DATA, we do digital transformation. We do it for financial institutions. We make digital happen for all sorts of clients in more than 50 countries around the world. And we’re ready to do it for you.
Case study 1: Reduce patient re-admission rates
Business Need
A hospital system wanted to quickly identify and score patients at risk of readmission based on patient health history, demographics and life style choices.
Outcome
- Conducted in-depth statistical analysis on a data set of over 6 million records that spanned several years.
- Developed a customer-specific predictive model for hospital readmission.
- Validated the model with historical data.
- Developed interactive dashboard with actionable information, such as individualized risk scores .
Improved patient care using a proactive patient risk score, resulting in a decrease in patient readmissions by 10 percent in the first six months of the engagement.
Case study 2: Location based recommendation system for customers in a shopping complex
Business Need
Need to improve a shopping mall operator’s reach to their patrons through personalised promotions of merchandize in mall.
Outcome
Analytics on location data, E-money card usage data, purchase history etc was used to send personalised coupons and promotional email to patrons thereby improved the patron’s shopping experience.
Case study 3: Improve student retention rates
Business Need
A major state university wanted to improve student retention and reduce drop outs through predictive methods and provide real-time recommendation to advisors.
Financially, every 1 percent change in student retention impacts the university’s bottom line by $1 million.