Predictive Analytics
What are Predictive Analytics?
Predictive Analytics is the use of big data, Artificial Intelligence, advanced algorithms, and intuitive machine learning techniques to create predictions about future results based on historical data.
Any industry can benefit from data analytics, predictive modelling, and statistical models.
TTEC uses data science and deep learnings to drive remarkable business outcomes. We help marketers and sales professionals know how to tailor marketing campaigns with a complete view of the customer journey using data collected on customer expectations and needs, which aides in finding and retaining customers.
Through a combination of technology and services, our prescriptive analytics team uses analytical techniques and advanced analytics to calculate customer lifetime value, predict future consumer behavior, and identify customers likely to churn. In addition, we help automate the ability to analyze all interactions, improving operational performance and the way data sets, Business Intelligence, and customer insights are gathered through analytics and machine learning.
Additional Predictive Analytics Resources
- Next Gen Advanced Analytics for the Contact Center: Top 6 ways advanced analytics and predictive modelling can help CX leaders ‘wow’ customers across various channels.
- Unlock Customer Insights Hidden in Plain Sight : – Learn why the contact center is a data analytics treasure chest and 6 impressive ways the HumanifyTM Insights Platform helps uncover valuable customer insights.
- Make Every Voice Heard with Speech Analytics: Top 4 ways contact center can use predictive analysis and big data insights into action.
- Real-time Speech Analytics Power Voice of Customer Insights: Today’s contact center leaders use data collected through AI-powered voice and data sets to gather intel into complex conversations between agents and customers – with the goal to improve future interactions.
