Data Science Services - Case Studies
Flatworld Solutions has a highly experienced team of data scientists and data science experts with vast expertise in solving business problems pertaining to Cognitive computing, Big data, Machine learning, Artificial Intelligence, Predictive analytics, etc. Our customized, timely, and advanced data science solutions have helped our clients curtail costs while maximizing revenue.
Read our success stories or case studies to find out how our data science services helped our clients meet their business goals with ease.
A leading healthcare risk adjustment service providing company was looking for a service provider who could help them with chart extraction services using RPA. Our team provided the client with services within a quick turnaround time.
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A leading South African automobile company was looking for a service provider who could leverage RPA and help them with digital transformation. Our team helped the client with cost-effective services.
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A leading LA-based bank was looking for a reliable service provider who could help them to reduce their client onboarding time. Our team provided the client with cost-effective services.
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A leading UK-based healthcare service provider was looking for a reliable RPA service provider who could help them to broaden their services. Our team provided them with the best quality services.
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A leading client was looking for a reliable and cost-effective electronics solution provider who could help them with RPA services. Our team delivered the best quality services to the client.
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Read the case study to learn how Flatworld Solutions helped a US restaurant chain business by optimizing the management of unstructured data from SQL to NoSQL data system. We also designed a generic predictive analysis model to efficiently store, retrieve, and modify unstructured data held in the database.
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Read a case study on how Flatworld Solutions provided data integration and advanced analytics to a leading Indian Bank. The client had 70TB of structured data that had slowed down the system and upped the operating expense. Our team established analytics workbench and integrated streaming and unstructured data.
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Read a case study on how Flatworld Solutions provided a Big Data Lake Solutions to a large Indian Banking group within a short turnaround time. The client faced unique challenges with data management which required professional approach and application of Big Data technology to streamline their customer touchpoint and Big Data lake.
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Read a case study on how Flatworld Solutions undertook a project to augment third-party data from the web using Hadoop technology, extracted annotators, and used neo4j for graph analytics. The challenge involved in this project was the limited availability of third-party data. But our experts could seamlessly provide the desired results within a short TAT.
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Read a case study on how Flatworld Solutions automated the data extraction for a top Indian bank. Our team used Big Data strategies to extract text-based data from bank statements. The 14 pager data stored in pdf format took 8-9 hours for processing. However, our solutions helped shorten the time significantly.
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Flatworld was approached by a US mortgage company to automate loan quality investment (LQI) process. We provided the service by assigning a team of big data scientists and engineers to model a solution based on Cognitive Process Automation. The results were successful with the company saving big on manual FTE, processing time per document, and increased volume of transaction along with high accuracy.
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Flatworld Solutions captured real-time data and applied Machine Learning techniques to streamline resource management for a logistics business based in North and Latin America. Our solution enhanced the transparency of delivery system in real time and optimized the delivery routes.
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Flatworld Solutions leveraged machine learning algorithms to optimize routes for a leading dairy supplier based in the Middle East. Using real-time route map, we optimized delivery itinerary while saving the operational expenses reducing the distance traveled by 27%.
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