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Predictive Behavior Analysis
Predictive behavior analytics is the practice of applying statistical and mathematical techniques to data to find patterns or trends in that data. These techniques include data mining, algorithm clustering, and neural networking. Predictive behavior analytics can forecast customer behavior based on historical trends. For example, analytics can predict when a customer will make a purchase from an online store or which customer segments are the most likely to purchase a particular product.
What Small and Midsize Businesses Need to Know About Predictive Behavior Analysis
SMBs can use predictive behavior analytics to understand the way their customers think and behave. This can help these businesses make better decisions, improve marketing campaigns, and generate more revenue.
Related terms
- Haptics
- WAN (Wide-Area Network)
- Intranet
- SLO (Service-Level Objective)
- Security Orchestration, Automation and Response (SOAR)
- Scalability
- Service-Level Agreement (SLA)
- Software as a Service (SaaS)
- Identity and Access Management (IAM)
- Data Center
- Augmented Reality (AR)
- Synchronous
- Multitenancy
- Chief Information Officer (CIO)
- IT Services
- Authorization
- Service-oriented Architecture (SOA)
- Platform as a Service (PaaS)
- Managed Service Provider (MSP)
- Security Information and Event Management (SIEM)