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User Migration of 3.2 crore user of a Tech-Based Payment platform to a new mobile payment app

User Migration of 3.2 crore user of a Tech-Based Payment platform to a new mobile payment app

The Fintech revolution has disrupted banking through mobile apps that outshine traditional banking. The digital developments in
the post-pandemic era made the operating technologies of banks obsolete, leading to multiple challenges. To recover from this situation quickly and regainits lead position, the bank needed a strong technology partner to migrate 3.2 crores of its tech-based payment platform users’ data seamlessly onto a new mobile payment App, which could make the processes more efficient, cost-effective, and secure, and consumer-friendly within a short timeline. To solve this problem quickly, the bank partnered with a FinTech
company, which, in turn, entrusted Maveric with this task.

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Default Prediction Analytics

Default Prediction Analytics

Predicting default propensity on loan portfolio through advanced analytics

Operation scale of 6 million records and 6 million upserts per month as well as external data

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Mortgage Analytics

Mortgage Analytics

Mortgage data is complex to handle due to its volume and stored inconsistently at varying time intervals. Data maintenance will be tedious for the organization, and it also subjects in deviation of tracking foreclose, forebear and buy/sell portfolio. A large mortgage servicer in North America enabled portfolio & mortgage analytics to build large voluminous data repository based on specific constraints.

Maveric’s datatech team worked with the organization to analyze its unstructured data, and developed analytics workflows to extract meaningful data with the help of data stores which were powered by Oracle and Mongo.

Explore how we took this challenge and provided feasible solution with our proactive mortgage predictive model to ease the decision-making process developed within stringent SLA’s.

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Patent Analysis

Patent Analysis

Data-driven approaches has become an industry standard. Furthermore, the power of analytics empowers decision-making capabilities. A valley funded patent technology firm enabled advanced analytics to build large voluminous data repository from the patents across US & EU.

Maveric’s datatech team worked with the firm to develop a data cleansing framework, which could assist them to drawing valuable insights from unstructured data sources. The data stores were powered by Mongo & MySQL on the cloud platform using AWS and Azure.

Learn how Maveric’s data solution team explored the scenario with our patent analytics solution to support the decision-making process. Also, the model was replicated and is currently being used by 2 of the fortune 50 customers.

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