We are a Flatworld Solutions company.
Of all the resources that modern financial institutions have, dealing with record amounts of data is the most important resource. Â The right information with the right insights accessible to the right people in real-time can drive revenue growth, reduce operational cost, and help manage risks. So smarter data-driven analytics are increasingly becoming future competitive differentiator among financial service companies.
Partnering with Quadratyx will help you achieve these goals. We provide support through out diverse business aspects from data management to assessing analytics strategy, people management to trading strategies.
Identify Factors
That helped past customer buys
Identify customers for
New Engagement Efforts
Identify customers for
New Engagement Efforts
The client, $6.5 Bn US based premier credit union, serves world’s leading technology-oriented companies. With modest rise in sales volume, they wanted to reassess their customers potential lifetime value. Align sales efforts and take a more strategic approach to client acquisition. But the existing legacy BI Platform had limited capability to run real time analytics and was not able to blend data for newer insights.Â
Realizing the importance of the project, a senior data scientist from Quadratyx worked at customer location to build a Customer Life Time Value (LTV) data science solution. The scope included the entire life cycle of data science solution development starting with analysis of data sources; Data Engineering; Data Visualizations; model building:
A Non-Banking Financial Company, catering to the financial needs of the low-income segment of the society – were manually tagging copious amount of documents for KYC verification. Data was extracted from these classified documents in part manual and part automated fashion. The client wished to completely automate these processes.
Quadratyx employed cognitive automation by leveraging Deep learning & NLP:
Time Saving
Faster extraction and data validation
Scalable Solution
Allows to handle volume growth
Improved Data Quality
Different bank Minimizes errors
Average Call Time Reduced Significantly
Personalized experiences Increase in renewals
Creating new efficiencies by automating processes
Primary goal of a private non-profit institution, which acts a central department for every city, is to foster enterprise capabilities and to ensure companies create sustainable sectors. By offering guidance, counselling, support by organizing trade and networking platforms for promotion. In order to avail institution facilities, businesses need to register for a annual membership. Currently, the membership renewal process is highly inefficient with data siloed.Â
Quadratyx built a platform using AI to creates a unified view of data:
A leading hedge fund firm had to predict the prices of leading cryptocurrencies from the historical price data. As cryptocurrency market is known for its high volatility, traditional financial methods generally used in the stock price prediction provide mere insights. Hence, the company was not able to measure the risk associated with the cryptocurrency price prediction.
Quadratyx designed advanced ML models to predict the following:
Monte Carlo simulation models with Geometric Brownian Motion and Euler Maruyama Approximation were built and deployed in the Docker Container to support scalability and easy integration with the procured Analytics Platform.
Risk Management
Lessen the impact of adverse change
Predict Volatile Behavior
Identified Environmental factors that contribute to high price variations
Take Informed Decisions
Predicted price for immediate future
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