aureus-insights_logo

All Posts

NPS vs CSat vs VoC

The strongest indication of an EPIC customer experience is when the customer comes back to you for repeat business. But unlike in the past, today a very large number of customer interactions occur online, thus making the task of measuring customer happiness/satisfaction/likelihood more dependent on reaching out to them for feedback and insights. There are several methods available for organizations to measure customer satisfaction, each one of them is different from the other.

NPS-vs-CSAT-vs-VOC

 

 

 

 

 

Related Posts

Insights That Power Insurance

While the world around us is changing so rapidly, adapting to this change is no longer an option but a necessity to survive. The Indian Insurance Industry, too, as a whole, has proven its resilience in the current dynamic context but nevertheless continues to face various challenges to be dealt with as it navigates through this evolving landscape. As innovators, we at Aureus Analytics felt the urge to aid these giant strides with a little insight from the who's who of the industry. Thus, came about the metamorphosis of 'Aureus Insights' from a weekly blog to a periodically published yearbook in India that encapsulates this changing trend in the inaugural edition, the AI landscape, and a bird's eye view of what we can expect on the road ahead.   

Fighting Insurance Fraud the Smart Way

The insurance industry in India is expected to reach US $280 billion by 2020-2021. The life insurance industry is expected to increase by 14-15% annually during the next three to five years. With such rapid growth in the life insurance market, the number of fraud casess is also expected to increase. Recent reports suggest that fraud consume more than 8.5% of the revenue that the industry generates.

How Artificial Neural Networks Unlock Insights from Unstructured Data

One of the challenges faced by data scientists is dealing with unstructured data using traditional machine learning models. These models are trained on structured data that have input features with corresponding output labels. When using unstructured data, the data cannot be directly used as an input feature. One approach is to use Artificial Neural Networks (ANN) to unlock business insights from unstructured data.