The concept of “six degrees of separation” says that any person in the world is only six introductions away from every other person through their network of friends, family and acquaintances. Whether you believe this is true or not, the impact of studying and analyzing networks can be a powerful tool for solving many business challenges. Networks are everywhere. Simple or complex, they can consist of people, institutions, processes, equipment and more.
Network analytics examines the relationships between the objects in a network. This webcast will cover how the new network analytics functionality in Statistica 13.1 can be applied for fraud detection, supply chain optimization, recommendation engines, and identifying influencers and affinities.
What you will learn
Attendees will learn:
- Business use cases where network analytics can be applied
- The role of the graph database and how to structure and load data
- Visual exploration of relationships
- Clustering, scoring and anomaly detection
Speakers
Caroline Junkin is a data scientist for Statistica. She has a master's degree in information management and has been working in the field of business intelligence and advanced analytics for over 17 years. Her experience in data engineering, predictive analytics and application integration spans many industries, including healthcare, marketing and customer relationship management, finance, hospitality, and gaming.
Register here
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