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Predictive Analytics

Predictive analytics unites expanded analysis functions, e.g. statistical ad-hoc analyses, predictive modeling, data mining, text analysis, entity analysis, optimization, real-time scoring, machine learning, and more. Predictive analytics is applied to all of a company’s data, including data from social media sources and text data. This way, unexpected patterns and relationships can be detected. Predictive analytics is used to develop optimized models for interaction with customers, to make high-dollar target groups more loyal, to sell additional services, to develop successful new products, make business processes more efficient, and to reveal and minimize fraud and risks. valantic helps companies deploy predictive analytics to use historic data to predict future events.

Image of Thomas Latajka, Managing Director at valantic ERP, office in Langenfeld, conference room, valantic website on a tablet computer

Customer Experience September 24, 2020

On the path to the customer-centered and intelligent company

The digital transformation in companies is progressing more and more. But the future belongs to customers and lies in the intelligence to provide them with the most perfect customer experience possible. With the customer at the center of attention, the path to the Intelligent Enterprise is thus marked out and indispensable. New technologies such as artificial intelligence, predictive analytics and the Internet of Things (IoT) will be increasingly in demand.