Driving Success: Overcoming Technical Challenges in a Cab Aggregator's Battery Health Monitoring
A leading cab aggregator partnered with Eucloid to overcome challenges in their battery health monitoring system. Using Databricks and advanced data processing techniques, we could reduce data processing latency by 96%, improve real-time sessionization, and achieve 100% accuracy in data normalization. These enhancements allowed for more effective monitoring of vehicle charging patterns and timely interventions to preserve battery health.
Download the case study to learn how Databricks helped optimize a cab aggregator's battery health monitoring system, dramatically reducing latency and improving data accuracy.
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Transforming Pipeline Efficiency with Databricks: 77% Runtime Reduction for a leading Sales & Distribution company
A renowned Sales & Distribution company partnered with Eucloid to optimize their data infrastructure using Databricks. The implementation resulted in a 77% reduction in pipeline runtime, from 35 minutes to just 8 minutes. The solution addressed challenges such as high costs, pipeline instability, and limited agility while enhancing data governance and efficiency.
Download to learn how we utilized Databricks to transform pipeline efficiency, reduce costs, and improve data management.
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The Move to Databricks: How This Leading SaaS Player Saved 30% on Data Analysis Costs
A leading SaaS company successfully migrated from Google Cloud Platform to Databricks, resulting in significant cost savings and performance improvements. The company, facing challenges with approximately 2500 complex data models and over 50 TB of data, achieved a 30% reduction in data analysis costs and a 20% boost in overall model performance after the migration.
Download the case study to learn how they streamlined their data operations and achieved substantial cost savings through a strategic migration to Databricks.
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Unlocking Enclosed Data: Transforming Commercial Insurance Processes with Intelligent Document Processing
When faced with the challenge of managing and analyzing the ever-growing amount of Enclosed Data within physical and digital archives, a team took on the task of processing 18 million insurance documents from various carriers. Our case study details the efforts in accurately classifying carriers, detecting document types, and extracting crucial information for efficient insurance claim processing.
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Using Hyper-Personalization to Boost a Fortune-100 Firm’s Online Sales
Through hyper-personalization techniques such as AI-powered analytics, A/B testing, and experimentation, a Fortune-100 retailer was able to improve customer engagement and decrease drop-offs and cart abandonment on their e-commerce platform. Download the case study to learn how adopting a personalized approach helped them segment audiences and deliver customized experiences, ultimately enhancing their overall customer satisfaction.
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Driving Growth for a Fortune-100 company with Unified Customer Data
Ever wondered how Fortune 100 high-tech consumer electronics companies stay ahead in a fast-paced industry? Our case study delves into the data-driven approach of a top player, showcasing how they harnessed scattered data from multiple sources to gain a 360-degree view of their customers and drive business success.
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