Case Studies Masters Competitions: Control Your Data Privacy

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	Masters Competitions: Control Your Data Privacy

Masters Competitions: Control Your Data Privacy

Technology Category	Analytics & Modeling - Data Mining Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Finance & Insurance Healthcare & Hospitals
Applicable Functions	Business Operation Quality Assurance
Services	Data Science Services System Integration
Challenge	Many companies are cautious about releasing data online due to customer privacy and competitive industry concerns. This is particularly true for industries dealing with sensitive information, such as health insurance. Deloitte Australia faced this challenge when they wanted to offer expanded analytic services to their client, HCF, a health insurance provider. The sensitive nature of health claims data made privacy an ongoing concern, even though the data was anonymized. Deloitte needed a way to leverage advanced data analytics without compromising data privacy or intellectual property (IP). Read More
About Customer	Deloitte Australia, a branch of the global professional services firm Deloitte, sought to enhance its analytic services for its client, HCF, a health insurance provider. Deloitte is known for offering a wide range of services, including audit, consulting, financial advisory, risk management, and tax services. HCF, on the other hand, is one of Australia's largest health insurance providers, committed to offering comprehensive health coverage to its customers. The collaboration aimed to address the issue of customer churn in the health insurance sector, a critical concern for HCF. Deloitte's expertise in data analytics and consulting made them a suitable partner for this initiative. Read More
Solution	To address the challenge, Deloitte Australia ran a Kaggle Masters Competition in Q4 2013. The competition was designed to predict which customers would let their health insurance coverage lapse within 12 months. The data used in the competition was anonymized to protect customer privacy. Participants were required to sign Non-Disclosure Agreements (NDAs) before accessing the data. The competition was exclusive to Kaggle 'Masters,' the top 0.25% of the Kaggle community, ensuring high-quality solutions. In total, 46 elite data scientists participated in the 60-day competition, producing innovative solutions that pushed the boundaries of algorithmic development. The winning solutions are currently being explored for implementation by HCF as part of their ongoing customer retention efforts. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data Mining

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Finance & Insurance

Healthcare & Hospitals

Applicable Functions

Business Operation

Quality Assurance

Services

Data Science Services

System Integration

Challenge

Many companies are cautious about releasing data online due to customer privacy and competitive industry concerns. This is particularly true for industries dealing with sensitive information, such as health insurance. Deloitte Australia faced this challenge when they wanted to offer expanded analytic services to their client, HCF, a health insurance provider. The sensitive nature of health claims data made privacy an ongoing concern, even though the data was anonymized. Deloitte needed a way to leverage advanced data analytics without compromising data privacy or intellectual property (IP).

About Customer

Deloitte Australia, a branch of the global professional services firm Deloitte, sought to enhance its analytic services for its client, HCF, a health insurance provider. Deloitte is known for offering a wide range of services, including audit, consulting, financial advisory, risk management, and tax services. HCF, on the other hand, is one of Australia's largest health insurance providers, committed to offering comprehensive health coverage to its customers. The collaboration aimed to address the issue of customer churn in the health insurance sector, a critical concern for HCF. Deloitte's expertise in data analytics and consulting made them a suitable partner for this initiative.

Solution

To address the challenge, Deloitte Australia ran a Kaggle Masters Competition in Q4 2013. The competition was designed to predict which customers would let their health insurance coverage lapse within 12 months. The data used in the competition was anonymized to protect customer privacy. Participants were required to sign Non-Disclosure Agreements (NDAs) before accessing the data. The competition was exclusive to Kaggle 'Masters,' the top 0.25% of the Kaggle community, ensuring high-quality solutions. In total, 46 elite data scientists participated in the 60-day competition, producing innovative solutions that pushed the boundaries of algorithmic development. The winning solutions are currently being explored for implementation by HCF as part of their ongoing customer retention efforts.

Impact #1	The competition allowed Deloitte to leverage the expertise of top data scientists without compromising data privacy.
Impact #2	The anonymized data and NDAs ensured that sensitive information remained protected throughout the competition.
Impact #3	The high-quality solutions generated by the Kaggle Masters provided innovative approaches to predicting customer churn.

Impact #1

The competition allowed Deloitte to leverage the expertise of top data scientists without compromising data privacy.

Impact #2

The anonymized data and NDAs ensured that sensitive information remained protected throughout the competition.

Impact #3

The high-quality solutions generated by the Kaggle Masters provided innovative approaches to predicting customer churn.

Benefit #1	46 elite Kaggle data scientists participated in the competition.
Benefit #2	The competition lasted for 60 days.
Benefit #3	The top 0.25% of the Kaggle community were invited to participate.

Benefit #1

46 elite Kaggle data scientists participated in the competition.

Benefit #2

The competition lasted for 60 days.

Benefit #3

The top 0.25% of the Kaggle community were invited to participate.

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Overview

Masters Competitions: Control Your Data Privacy

Operational Impact

Quantitative Benefit