Fraud detection in the lending process of a bank

Fraud detection in the lending process of a bank

Fraud detection in the lending process of a bank

Expert: Linh Nguyen

Industry: Finance & Insurance

Area: Finance & Controlling

Protect your business from fraud and minimise your risks with our Fraud Detection solution for bank lending.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

A German bank was faced with the challenge of avoiding fraud at an early stage in the course of introducing a new credit product. Until now, there was no way to examine the relationships between customers, products and transactions carried out for suspicious networks and patterns. The goal was to implement an effective fraud detection solution to identify potential fraud cases at an early stage and thus prevent damage to the bank and its customers.

[Solution]

To meet this challenge, a comprehensive Big Data database was built. For this purpose, various data sources and systems were integrated and the data logically linked. The data was prepared for network analysis and pattern recognition algorithms were implemented using R. The solution made it possible to discover conspicuous and unusual relationships, processes and transactions.

[Result]

The implementation of Fraud Detection was a great success for the bank. The novel approach made it possible to effectively detect and prevent potential fraud. An interactive and freely navigable app was developed to visually display customer relationships. The bank was thus able to receive early alerts for suspicious activity and react quickly to prevent fraud. The implementation of the solution led to increased customer confidence in the bank's security and a positive image boost.

Fraud prevention in banks is an important aspect of corporate security. By implementing Fraud Detection, the bank was able to protect its customers from potential fraud and increase confidence in its security measures. The use of pattern recognition algorithms and network analysis is an effective way to detect and prevent potential fraud at an early stage.

If you are looking for a data analytics and artificial intelligence solution specifically designed for fraud prevention in banks, we are your partner. Our expertise in this area enables us to develop customised solutions for your specific requirements. Contact us to find out how we can help you.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Linh Nguyen - Key Account Manager

Your expert

Linh Nguyen | Principal Key Account Manager | Alexander Thamm GmbH

Visualisation of real estate in a GeoMap application

Visualisation of real estate in a GeoMap application

Visualisation of real estate in a GeoMap application

Expert: Linh Nguyen

Industry: Other

Area: Finance & Controlling

Experience your real estate in a new dimension: Discover the advantages of visualising real estate in our innovative GeoMap application.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

A large real estate company had a challenge in analysing locations and key figures of their properties. The process was manual and time-consuming as the data was only available in reporting and no comparative analysis could be done. In addition, the data was only available on a limited mobile basis, which affected the efficiency of the real estate agents.

[Solution]

Our company provided a solution to this challenge by implementing geodata in SAP BO. All information and key figures relevant for a property were displayed on the map and there was the possibility to filter according to different criteria. The mobile version of the tool included GeoMaps, which enabled an optimal display of the data on mobile devices.

Our team used their expertise in data analytics and artificial intelligence to develop a solution tailored to the client's needs. We integrated the data into SAP BO to enable seamless interaction between the various metrics and the map. This allowed the real estate agents to quickly and easily analyse the data and make decisions based on data.

[Result]

The interactive GeoMap application for iPad that our company developed provided real estate agents with an easy and quick way to access key metrics associated with the real estate properties under management. Our solution significantly increased the efficiency and accuracy of data analysis and helped real estate agents make more informed decisions.

Thanks to the solution we developed, the company was able to carry out comparative analyses, which contributed to improved decision-making. The data was available on mobile, which facilitated the work of the real estate agents and increased the efficiency of the company.

By implementing the interactive GeoMap application, the company was able to achieve higher customer satisfaction and increase its turnover. Our solution helped the company remain competitive and expand its market presence.

In addition to the benefits already mentioned, it is important to mention that the visualisation of the data in the interactive GeoMap app is very appealing and easy to understand. The presentation of property locations and key figures on the map provides a quick overview of the most important information, which facilitates decision-making.

As experts in data analytics and artificial intelligence, we always strive to provide our clients with innovative and customised solutions. We believe we can help businesses make the most of their data and make informed decisions. If you are looking for a similar solution, feel free to contact us to find out how we can support you.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Linh Nguyen - Key Account Manager

Your expert

Linh Nguyen | Principal Key Account Manager | Alexander Thamm GmbH

Automatic damage detection after natural disasters

Automatic damage detection after natural disasters

Automatic damage detection after natural disasters

Settlement within 10 days instead of 9 months due to automatic damage detection

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Duration of claims settlement reduced from 9 months to 10 days

 

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Reduction of appraiser costs by 75%

Cost savings in the millions with simultaneous increase in customer satisfaction

Challenge

After natural disasters, an insurance company wants to quickly and cost-effectively assess the damage to its insured buildings. This requires an infrastructure that can process a large amount of image material in a timely manner. In addition, a model must be developed that allows the prediction for different building types and regions.

Solution

Various machine learning models are developed, evaluated and made available. These are the basis for automatic damage detection. A pipeline is built in the Amazon AWS Cloud that seamlessly integrates both the model training and the productive use of the results. Due to the complete integration of all processes in the AWS infrastructure, the product is scalable and can be automatically adapted to the current demand in a cost-efficient manner during idle and load times.

Result

The models can be trained and adapted in a scalable pipeline. Via an API, the results can be used for a wide range of applications for automatic damage detection. Damage classification makes it easier to estimate payout amounts and initiate payout processes automatically.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Power BI Reports and Dashboards

Power BI Reports and Dashboards

Power BI Reports and Dashboards

Identify problems 90 days earlier

Capacity for content analyses and evaluations increased tenfold

1

Central rights management for various dashboards

Challenge

In an international insurance group, several specialists are very busy with the quarterly preparation and processing of reports. The reports are rigid Excel tables that hardly allow the recognition of anomalies. Since not all recipients are allowed to see all information, the reports have to be manually individualised before distribution.

Solution

A target image for the reporting landscape and a concrete roadmap for realisation are developed. Data preparation is automated from the source system via an SQL server to a multidimensional database for fast access. Excel is replaced by PowerBI.

Result

Various interactive dashboards are available, which are precisely tailored to the requirements of the individual business areas. Users thus have access to daily updated data without manual effort. An automated security concept regulates authorisation at row level.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Risk assessment in insurance applications

Risk assessment in insurance applications

Risk assessment in insurance applications

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Reduction of risk questions by 78 %

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Great simplification of the application process

Automated assessment of 1,300 features from external providers

Challenge

An international insurance group wants to offer an online-compatible building insurance tariff. In order to optimise the application process, as few risk questions as possible should be asked. To ensure that the risks can still be assessed correctly, the risk questions are to be replaced by data from external providers.

Solution

About 1,300 characteristics from external providers are assessed. From these, targeted candidates are selected to replace the risk questions. With the help of a substitution algorithm, each risk question is checked and, if necessary, substituted by external data. The close cooperation with the actuaries ensures a professionally sensible pricing.

Result

78 % of the previous risk questions can be preassigned, replaced or omitted with the same forecast quality. New external data can be checked and integrated by the actuaries themselves at any time.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Our Case Studies

- Get even more detailed insights into our customer projects -

Smart cooking with Thermomix

Smart cooking with the Thermomix

Download
Case Study AI at Munich Re

Data Operations at Munich Re

Download

Data & AI Knowledge

Creating added value from data & AI together

Blog

Discover professional articles on Data & AI as well as the latest industry news.

Webinars

Dive into our Best Practices and Industry Exchanges. Discover new dates and recordings of past webinars.

Whitepaper

Learn more about the use of Data & AI in your industry with our white papers, case studies and research.