Skip to Main Content

Graph Database and Analytics Office Hours

Free tips and training every month! Subscribe for reminders and more from Office Hours. FAQ

Header container

May 28, 2020

[APAC] Financial Industry Use Cases for Graph Analytics
[*Note - this session will also be offered live for EMEA and Americas participants on May 28, 11am US Eastern. For details, please visit,551:P551_C LASS_ID:8288&cs=1DC4E53E233F034951045BE2B6390756F ]

The financial industry is using graph analytics to address a variety of use cases. We'll take a look at how organizations are using Oracle graph technologies for fraud detection (finding circular payments, mule accounts) and marketing customer 360 analysis.

Sorry, No Recording Yet!

This session's over, but a recording of the session is not yet available.

Check out the resources on this page to explore great websites packed with lots more information - and answers to questions.

Ask a Question

Ask The Experts - Right Now!

Do you have a question about Use Cases. you'd like our experts to answer in their next session? Sign in and submit it here.

Please note that we cannot guarantee to answer all questions. We cannot help you with open Service Requests or account/licensing issues.


Your Experts
Ryota Yamanaka
Ryota Yamanaka, Regional Product Manager, Spatial and Graph    
Ryota Yamanaka is a regional product manager (Asia-Pacific) in spatial and graph technologies at Oracle. He has been a regular user of graph databases since he received his degrees in bioinformatics, and he is also experienced in using graphs, semantic technologies, and big data, in various industries during his 8 year career at Oracle. He has been based in Bangkok since 2018.
Gautam Pisharam
Gautam Pisharam, Senior Solution Engineer    
Gautam Pisharam is a Senior Solution Engineer at Oracle SE Hub, and specializes in multi-dimensional analytics of high volume data. He works with Data Science Teams of customers across the globe, helping them identify graph network patterns and cycles, using compute-intensive algorithms. He believes in making visual communication of data simple, intuitive and business friendly and is keen to explore the impact and usage of Data Analytics in Social Science.
Melli Annamalai
Melli Annamalai, Senior Principal Product Manager    
I am a product manager at Oracle, in the database organization. Over the years I have developed extensive experience in unstructured and semi-structured data management. My current focus areas are Graphs, Apache Kafka, and Big Data. I enjoy working with customers and helping them use our technology to solve their problems, from small scale problems to those that have tremendous impact in their organization and beyond. Along with my colleagues I am on a mission to make our products as easy to use as possible. I believe in equitable access to education for all, and I spend most of my spare time volunteering in activities towards that goal.