Smart Banking & Insurance
Banks and insurance companies face significant pressure to transform their traditional business models and product portfolios in order to remain attractive to customers—and offer them modern, value-added services—in the era of digital transformation. These strategic challenges within the banking and insurance sectors can be successfully met through the targeted use of new digital services and solutions.
OmegaLambdaTec develops new, data-driven prediction and simulation-based optimization strategies for banks, insurance companies and funding agencies. The focus here is on the efficient implementation of digital change to minimize effort, reduce costs and increase customer loyalty.
OUR SERVICES AT A GLANCE
- Optimization of administrative effort through data-driven recommendations for action
- Data-driven customer segmentation for sales optimization
- Automated anomaly detection and early detection of fraud
- Scenario simulations for optimizing new products and funding instruments
- Automated product demand forecasts
- Algorithms for the automated risk assessment of customers and tangible assets
- Automated credit scoring for corporate clients
- Data-driven impact analysis by customer segment and product
- Analyses of the Customer Lifetime Journey
- Faster and regionally disaggregated economic forecasts and leading indicators
- Self-learning algorithms for automated trading and portfolio management solutions
- Automated churn score calculation to determine the risk of cancellation and prevent customer churn.
- Scenario simulations and quantification of risk cases in volatile markets
REAL-WORLD USE CASES WE’VE SUCCESSFULLY DELIVERED
Optimizing administrative overhead in film funding
Key Challenges and Goals
Modern film productions entail high costs. To keep this hurdle manageable—particularly for smaller production companies and emerging directors—film funding agencies issue loans linked to a film’s success, requiring repayment only if box-office results are strong. The associated contracts are tailored to each specific project. However, the complexity involved in assessing success generates significant personnel and administrative costs that are often disproportionate to the actual funding volume. How can the process of tracking film success be optimized to significantly reduce the administrative burden on funding agencies?
