Predictive Analytics

What is Predictive Analytics?

Predictive Analytics uses historical data, machine learning, statistical algorithms, and artificial intelligence to make predictions about the future. Companies can use these insights to deepen customer engagement, identify economic trends, optimize staffing and operations, and manage risk.

How does Predictive Analytics work?

Companies typically begin collecting large amounts of data using data integration tools. They clean and process the data, and then look for patterns. Then a model is developed, trained and tested around a clearly defined problem to predict the likelihood of a future outcome. Predictive analytics allows organizations to turn big data into future foresight to gain a competitive advantage.

What are the business benefits of Predictive Analytics?

• Enhances identifying, segmenting, targeting, and retaining ideal customers in a more cost- effective manner
• Increases revenue by identifying new opportunities, forecasting sales and economic trends, and predicting future consumer behavior
• Strengthens risk assessment by analyzing lending and default, payment, pricing, and marketing trends
• Provides forecasting insights into an organization’s demand for products and services, saving time and money
• Uses forecasting insight to optimize production and streamline inventory management