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Know What Helps
with Advanced Analytics

Develop and market products that heal

Optimize your operations and do the best for the patient, your customer.

Life science companies face massive challenges due to political reforms affecting healthcare sectors, regulatory pressures, and high investment hurdles for innovation. As things continue to evolve, life science companies need to tighten their operations to meet these challenges. Use Predictive Analytics with RapidMiner to optimize operations throughout the company, analyze and explore your target markets and make your product development and production more cost-effective and profitable.

Sales & Marketing

Characterize Patient Populations

Better characterize diseases and patient populations to identify treatment patterns, patient adherence, and more.
Customer Segmentation

Process Customer Feedback

Easily analyze unstructured feedback from virtually any data source to know about issues with products and get inspiration for improvements.
Sentiment Analysis

Development & Manufacturing

Assess and Manage Product Quality

Monitor product quality throughout the global value chain and use Predictive Analytics to foresee and avoid drops in production quality.
Quality Assurance

Prevent Production Downtimes

Employ Predictive Maintenance to predict and anticipate equipment failures and reduce costs by preemptively scheduling maintenance activities.
Predictive Maintenance

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What People Are Saying

  • Two to three weeks after the fixes, we saw that the password recovery success rate went up by almost 50 percent and password related complaint verbatim volume declined significantly.

    Director of Operations & Customer AdvocacyPayPal

  • We then deployed the engineering fixes with the help of a cross functional team and again used text analytics to monitor the improvements made, evidenced by any significant drop in customer complaint volume.

    Director of Operations & Customer AdvocacyPayPal

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