Frankfurt Summit on Network Analysis

26 October 2017
Frankfurt

Target audience

Decision makers in banks, asset management companies and insurance companies in the following areas: investment management, risk management, portfolio management, wealth management, robo advisory, digitalisation, treasury, ALM, trading, sales, marketing, corporate strategy, business development, Org/IT, compliance, audit, regulation, analytics, big data, business intelligence, innovation, data warehousing, R&D, etc.

Furthermore investors, fintech community shapers, data engineers, data scientists, developers, IT architects, data base experts, VCs, accelerators, incubators, researchers, etc.

Overview

Our technological world is growing ever more rapidly and the connections are becoming ever more complex. People, machines, devices and algorithms are networked in a gigantic ecosystem ("Complexity Economics").

It will be critical for banks and asset managers to analyse and use the relevant data. Currently, many analyses are based on linear and isolated views: customers, companies and markets are considered as single data points. Thus the most decisive complex, adaptive dynamics and exponential effects remain hidden in the data. Examples are the spread of shocks / risks, networked fraud ring patterns and hidden dependencies. The purpose of this summit is to better understand graph analysis as a financial technology and to systematically use its potential. It shows practical applications in how to save costs, generate sales, reduce risks, meet regulatory requirements, improve service quality, align business models in a more agile way and find new alpha.

Web giants like Google, Amazon, Apple and Facebook have already shown to the world that connecting the data points is essential to extract monetisable information. They use graph and network analysis on a grand scale, but this insight has not yet been systematically implemented in the financial industry. This is all the more surprising given the pressure currently being felt by the industry: interest rates are low, markets are complex, regulatory pressure increases, and all of this is preceded by the greatest transformation in the history of digitization in finance. Graph analysis is a modern technology to analyse customers, markets, portfolios and products more deeply, react in real-time and make decisions.

During the preparation of the summit, we were able to find a large number of experts and companies in the Rhein / Main area who have already had extensive experience with graph analysis in financial applications (the graph above shows a number of the possible graph-based applications in the financial sector). We have met those people who are true pioneers having succeeded in using this technology to create new financial applications and to add value with interconnected data analysis. It is those experts and pioneers who get the summit’s stage.

Currently there is no comparable medium for the industry to exchange. This summit is an important building block in further developing this financial technology. During summit preparations, we were able to find an enormous response, but also a great need to catch up on this issue.

Graph analysis is gaining popularity all over the world. Many larger companies have already used such tools or are experimenting with prototypes. Graph analysis is probably one of the most effective differentiators of organizations whose operations and decisions depend heavily on data, which is definitely the case in the financial industry. Due to the decades-long use of graph analysis in the natural and social sciences as well as in the non-financial industries, the underlying technology is already fully developed. There are systems that can store huge amounts of graph data and process them in real time. In addition to this, there are intelligent visualization and graph navigation techniques to simplify access to the complex interrelationships. Also the machine intelligence in connection with graph analyzes has developed rapidly. It finds patterns and structures in the data and directs intelligent decisions.

It is now up to the decision makers how they use this powerful cross-sectional financial technology. This summit offers the ideal entry point.