contact us
Solutions
By Topic
Supply Chain
Customer 360
Fraud Detection
Graph Technology
Data Products & ML
Identity Management & Entitlements
By Industry
Financial Services
Retail
Energy
Life Sciences & Health Care
Consulting
UX for Complexity
Assessments
Rapid Prototyping
Modernization
Custom Software
Expert Training Courses
Software
Supply Chain
Radiant Path
Fraud detection
Fraud Detection & Investigation Toolkit
Contact Tracing
Overview
Combat the Curve Game
Future Trace
BackTrack
Resources
Gallery
Case Studies
Demos
Blog
Podcast
Events
About Us
Contact Us
Merch
Leadership
Careers
contact us
CONTACT US
Thank you!
We got your message and we'll reach out to you shortly.
In the meantime, check out our Gallery!
view our gallery
Something went wrong while submitting the form, please try again!
Gallery
>
BY Type
>
Demos
Customer 360: Cross-Selling & Up-selling
Share
Demo
Customer 360: Cross-Selling & Up-selling
Tags:
Customer 360
Finance
Graph Technology
Summary:
Example of how financial institutions can use an all encompassing view of their customer to cross-sell and up-sell.
Product Marketing
Customer View
Churn Intervention
Segmentation & KPI
More Demos
VIEW ALL
Demo
Entitlements & ID Management Demo
Super User View
Historical Data
Fraud Avoidance
Master ID Recognition
Demo
Fraud Toolkit in Medical Healthcare Claims
Medical Healthcare Claims
Machine Learning, Graph Technology, and Time Series Structure
View Connections to Risky Communities
Tweak Graph and Machine Learning Algorithms to Flag Identified Patterns
Demo
Airlines, Logistics, & Transport Optimization Toolkit
Optimization for Crew, Craft, & Location
View Vital KPIs
Example Airline Use Cases
No Sequel and Graph database in Combination with Optimization Algorithms
VIEW ALL RETAIL
Related Content
Lightning Talk
Supernodes
Big data
Influence scoring
Data partitions
Janusgraph
Demo
Customer 360: Financial Services
Similarity / Influence
Multiple-lines Business
Sentiment
Recommendations
Online Seminar
Patient 360 + Opioid Fraud Detection Using Machine Learning and TigerGraph
Full Patient 360
Churn Prevention
Working Prototypes
TigerGraph
Blog
Node Classification by Graph Convolutional Network
Leveraging the natural structure of data, graph convolutional networks produce optimal predictions of node properties.
CASE Study
Optimizing A Multi-National Supply Chain
Bringing Visibility to a Complex Data Lake
More About
Customer 360
>
More About
Finance
>
More About
Graph Technology
>
Subscribe to our quarterly newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
.svg){kind=icon}
