Predictive analytics determines a likely outcome based on an examination of current and historical data. Decision trees, regression, and neural networks all are types of predictive models.

Businesses use customer analytics to make data-driven strategic decisions ... you determine that most customers aren’t using Wi-Fi connectivity—a standard feature in your hottest-selling model.

Data fuels a customer retention program. Customer data collected from various touchpoints is key to deciphering customer behavior and implementing effective retention strategies by improving ...

Customer analytics and data privacy need not be two opposing forces colliding and careening in opposite directions. Customer analytics benefits from data privacy; customers benefit from programs that ...

Key Points Predictive analytics allows for proactive decision-making, as opposed to reacting when things go wrong. Utilizing ...

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights ...

Data is a big part of that — experience data, product usage data, business data. These businesses have to collect and analyze it to help build a picture of their engagement with the customer, along ...

Despite investing heavily in customer service technologies, companies are still having trouble using data and analytics to improve customer satisfaction. In recent years, companies have invested ...

Our data analysis focuses on real-time information about how online shoppers are viewing and acting on our site and our products, and how they interact with us in the future.

Predictive modeling is a statistical analysis of data used to generate future scenarios for organizations and companies. It can be used in any industry, enterprise, or endeavor in which data is ...