Memorandum of Understanding (MOU) to enhance business analytics curriculum at NUS
From the left: Assoc Prof Khoo Siau Cheng – Co-Director of NUS BAC, Assoc Prof James Pang – Co-Director of NUS BAC, Todd Blaschka – TigerGraph’s Chief Operating Officer
Singapore – 11 November, 2021 – The National University of Singapore Business Analytics Centre (NUS BAC) and TigerGraph, provider of the leading graph analytics platform, announced that they have entered into an MOU to enhance business analytics curriculum and strengthen students’ graph database capabilities.
Part of the technology that powers search engines and online product recommendations, a graph database allows analysts to find connections among the data. In business analytics, a graph database can be used to improve revenue through product and service marketing, manage risks through fraud protection, as well as optimise resources through supply chain analysis.
The collaboration aims to enhance students’ skills in using graph databases through related software and resources by TigerGraph. NUS business analytics students can also look forward to capstone internship opportunities with TigerGraph and its partners.
Jointly formed by the NUS School of Computing and NUS Business School, NUS BAC offers the Master of Science in Business Analytics (MSBA) programme.
Associate Professor James Pang Yan, Co-Director of the BAC, said, “Graph analytics is an emerging field which can help to solve some of the problems that traditional analysis can’t solve. Our collaboration with TigerGraph will help to provide the latest industry-relevant knowledge and training in graph technology for our NUS MSBA students. This talent pool will in turn help to meet the growing demand of businesses, in Singapore and in the region, who turn to analytics to improve operations.”
Assoc Prof James Pang (right), Co-Director of NUS BAC, introducing the university to TigerGraph’s Chief Operating Officer Todd Blaschka.
Quek Khor Ping – Senior Visiting Fellow and deptuty director of NUS BAC, Assoc Prof Khoo Siau Cheng, Co-Director of NUS BAC, Todd Blaschka, TigerGraph’s Chief Operating Officer having discussion before the signing.
From the left: Quek Khor Ping – Senior Visiting Fellow and deptuty director of NUS BAC, Assoc Prof James Pang, Co-Director of NUS BAC, Todd Blaschka, TigerGraph’s Chief Operating Officer, Assoc Prof Khoo Siau Cheng, Co-Director of NUS BAC.
TigerGraph is a revolutionary native parallel graph database purpose-built for loading terabytes of data within hours and analysing as many as 10 or more hops deep into relationships in real-time. TigerGraph supports transactional as well as analytical workloads, is ACID compliant, and scales up and out with database sharding. Its technology also supports applications such as fraud detection, customer360, IoT, AI and machine learning to make sense of ever-changing big data.
Serene Keng, managing director of channel and alliances for Asia Pacific and Japan, TigerGraph said, “TigerGraph strongly believes in leading the way for private and public collaboration towards the next frontier of Big Data and advanced analytics through our partnership and alliance initiatives. We are proud to join forces with NUS to make graph analytics capabilities more accessible to enterprises by developing a larger talent pool with sought-after graph database skillsets. The addition of TigerGraph Native Parallel Graph to the curriculum of one of the best Business Analytics Master programmes in the world underscores the demand from academia and industry alike for all things graph in order to accelerate digital transformation of Singapore businesses.”
In addition, TigerGraph will sponsor the NUS-TigerGraph Innovation Challenge, which will be held in 2023. This challenge will feature problem statements based on realistic business problems from TigerGraph and its clients, and aims to showcase and reward ground-breaking innovative solutions from NUS students.
About TigerGraph
TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. The company is headquartered in Redwood City, California, USA. Start free with tigergraph.com/cloud.
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