Automobile News Data Aggregation for R&D Case Study

Upcoming Webinar : Leveraging Web Data For Advanced Analytics

On 6th Dec, 11.00 AM to 12.00 PM ( EST) 4.00 PM to 5.00 PM ( GMT )

Automobile News Data Aggregation for R&D

Web Data Automation for Automotive Industry Case Study

Problem Statement

One of the largest Japanese automakers wanted to standardize the news articles across multiple sources in the automotive industry including social media platforms for creating a tool and their research team will analyze the new technology, process available in the market from the news articles and social media posts available in the tool by providing related keywords.

Our solution

With meticulous analysis, Mobius addressed key areas:

Efficient Data Extraction and Real-time Aggregation: Developed a streamlined data extraction process, ensuring effortless recreation of the data. Enabled near real-time aggregation of relevant stories, providing up-to-the-minute insights.
Comprehensive Data Coverage: Implemented advanced algorithms to ensure 100% content coverage from diverse sources.
Duplicate Removal and Metadata Collection: Enhanced data accuracy by removing duplicates through meticulous mapping and comparison techniques. Collected metadata for detailed analysis, ensuring comprehensive insights.
Historical Data Analysis and Scalability: Gathered historical data for trend analysis, enabling informed decision-making. Designed a scalable solution, allowing seamless integration of new data sources for continuous monitoring.
Automated Triggers: Implemented automated email triggers, ensuring timely notifications for critical events.

Contact us for a solutions demo:

Benefits

Data Accuracy: Achieved 99.1% accuracy in data, ensuring reliable insights for decision-making.
Increased Productivity: Enhanced team productivity by 75%, translating into faster innovation cycles.
Real-time Insights: Enabled real-time insights, empowering timely responses to market shifts.