Accelerating Analysis by By passing Data Pre-processing

🏢 Company

• Name: May Mobility
• Industry: Autonomous Vehicles
• Size: Medium

⚠️ Problem: Flexible Analytics

A mobility company faces a time-consuming task of preprocessing large volumes of vehicle connectivity data for hypothesis testing or failure analysis, requiring weeks of manual data cleanup before integration into databases and dashboards.

✅ Solution: Rapid Experiments

Neferdata built an AI product that automatically cleanses the data, allowing the company to directly perform ad-hoc analytics on unstructured and semi-structured raw data. The company can now bypass the need for extensive data cleanup by using natural language to filter, cluster, and analyze records. This saves significant time and greatly improves accuracy.

🤖 Results

The company can now perform critical analysis much faster and has reassigned staff previously focused on manual data cleansing to more analytical work.

↗️ Benefits

-- Rapid Experiments.

-- Assess Before Invest.

-- Data Engineering Time Saving.