Cloud data & AI are revolutionizing the banking industry by assessing risks more accurately, automating regulatory requirements and offering personalized services to customers. Banks benefit from more efficient operations, more secure transactions and optimized decision-making processes.
Artificial intelligence analyzes financial data in real time and improves risk management and fraud detection. Automated credit and mortgage checks shorten processing times, while natural language processing efficiently handles customer inquiries. Machine learning models help predict market trends and optimize investment decisions. In addition, data-driven process mining increases operational efficiency and reduces costs.
With over 30 years of experience and more than 3.000 successfully implemented projects, synvert is the ideal partner for banks looking to drive their digital transformation with cloud data & AI.
Design and deployment of a unified, efficient BI and Big Data Platform on AWS for a world leader in providing news and insights in the financial sector.
Development of a solution to define KPIs, create a data model and implement an application to analyze the customer journey in banking. The solution enables a data-driven evaluation of customer interactions, identifies optimization potential and improves the customer experience through precise KPIs.
Development of a solution to define, collect and analyze KPIs for the use of a banking app from a major bank. The system captures interactions, identifies usage patterns and optimizes app performance through data-driven decisions for a better user experience.
Enabling data analysis and mining at a European agency for economic development and innovation, through the design of a Big Data Platform using Cloudera.
Development of balanced scorecards on key corporate indicators and employee management for a major German bank (incl. board and executive reporting)
Replacing a special institution’s own software development for loan processing with standard products and procedures.
Information needs analysis, conception and implementation of a data warehouse in the area of risk control/Basel II, development of the BI layer with MicroStrategy for complex analyses
Implementation of a solution for executive business insights at a real estate conglomerate in the Middle East, including a highly visual, interactive mobile application to enable top management to make agile, timely decisions.
The Investment Analysis project is designed to enable the specialist department to evaluate the portfolio, risk, performance, stress test and order data of its investments in a structured manner. The application is used to monitor and adjust the customers investment strategy.
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