The life insurance policy portfolio was analysed with Viscovery Profiler and Viscovery Predictor to determine the probability that a customer would purchase a life insurance policy.

Customers with a high affinity for life insurance were addressed with specific campaigns. Based on the success of the pilot project, the same measures were extended throughout Austria. 

The accuracy of the prediction model enabled highly effective target-group-specific measures and the successful implementation by the field staff. The response was evaluated as “very satisfactory” by the client, and the project is considered a success in active portfolio management.

The client employed Viscovery to analyse the buying behaviour of customers using a "Bonus-Card”, which allows customers to receive an annual bonus based on their purchases.

Customer segments were identified and used to optimize the use of advertising media. The suggested measures improved the effectiveness of advertising by approximately 20%.

The client's headquarters as well as franchise partners consider the project to be highly successful, and the client has implemented the customer behaviour prediction for franchise partners.

The client needed to analyse use of their web portal.

Target group profiles, provided to advertisers to address particular groups of users, must be significant to effectively focus advertising measures. Previous methods failed to exploit opportunities efficiently.

Based on Viscovery's analysis, the structure of the site was optimised according to customer needs. By delivering specific target group profiles to its advertising partners, the client has significantly increased advertising revenues.

When critical process states are identified, it is possible to monitor sensitive events and to avoid quality losses. Previous analyses with conventional methods had failed due to the complex relationships between production parameters and product properties.

Viscovery Profiler was used for product segmentation and several sources of defects were identified, including a miscalculated formula. Problematic processes were corrected, permanently reducing production costs.

Finance

To face increasingly difficult regulation and competition in a sensitive market, financial institutions must be able to assess their current situation and predict the future behaviour of their customers as well as of markets with accuracy. Whether the issues are credit rating, capital allocation, or cost of capital, the deployment of meaningful models and the analysis of market discontinuities are critical to ensure regulatory compliance and to manage risk.

Viscovery solutions provide accurate and comprehensive analysis with a visual approach that reduces complexity and turns data into information. When analysing customer behaviour or understanding market conditions, models created with Viscovery are rigorous enough to meet regulatory scrutiny, yet flexible enough to fit the unique requirements of your institution.

Viscovery solutions are already used successfully in finance for the following:

• Risk analysis

• Fraud and abuse detection

• Customer acquisition and retention

• Cross-selling prediction

• Customer segmentation

• Portfolio analyses

• Exploration of financial market conditions

• Indicator forecasting

• Fund picking
  

How can a fast-moving, competitive, data-intensive industry stay light on its feet? Telecommunications services need continuous evaluation and improvement to keep pace in this price-sensitive industry. Personalized customer approach, balanced pricing policies, data quality management, or any other analytic aspect can be effective only with intelligible snapshots of the critical conditions in real-time. Viscovery solutions provide manageable and intuitive overviews of large data sets. The predictive modelling capabilities help understand customer preferences, predict system performance, and optimise network operations – allowing you to stay one step ahead.

Viscovery solutions are already used successfully in telecommunications for the following tasks:

• Customer segmentation and scoring

• Marketing campaign analysis

• Fraud detection and prevention

• Churn prediction and customer retention

• Customer behaviour modelling

• Subscriber analysis

• Customer profitability and lifetime value analysis

• System performance prediction

• Network operations analysis
  

In the insurance business, unlocking the power of customer and adjustment data is important for predicting the duration and risk of customer relationships as well as for improving customer services, determining claim management, and developing new products.

Performance, operating conditions, recipes, product characteristics, and many other diverse factors can make or break a product. The challenge is often representing and modelling masses of data that cannot be conceived in mathematical terms to predict and monitor the critical aspects of production.

Viscovery solutions help you determine the critical factors at every step of a product's evolution - from design and analysis of experiments to product quality prediction and performance monitoring.

Viscovery solutions are already used successfully in process industry and manufacturing for the following:

In many fields of public and academic research, data mining and knowledge discovery have become indispensable instruments for uncovering structures hidden in large data sets. Hundreds of universities and public research institutes are already using visual predictive analytics made by Viscovery for a wide range of applications, including exploratory data mining, statistical analysis, profiling and segmentation, visual cluster analysis, and classification.

Viscovery solutions provide an intuitive visual analysis platform with superior prediction accuracy that is supported with a complete project environment, workflow guidance, and inline documentation. Institutional researchers as well as faculty members and students are offered competitive prices and a range of licensing options to help them easily integrate our products into research projects, curricula, or graduate and undergraduate projects.

Viscovery solutions are already used successfully in public research for the following:

• Text mining

• Bibliometric analysis and document classification

• Environmental and sustainability analysis

• System state monitoring

• Demographic analysis

• Voting analysis

• Pattern matching and classification applications

• Prediction of nonlinear dependences in empirical data

• Image recognition/OCR

• Text-to-speech applications

• Security data analysis

• ……and many others

Life Sciences and Medicine