- A US based fintech start-up wanted to build a big data analytics solution; and was looking for a suitable partner.
- Start-up was looking for an optimized solution to source 10-year financial data for 500 companies
- The data expected in a custom grid format to feed the analytics engine
APPROACH TO SOLUTION
- AIMLEAP Automation Team leveraged AI driven data solution to build a semi-automated process to convert source data
- AI solution was trained to identify data points which needed manual intervention
- The AI solution was able to source and convert financial data with minimal manual intervention
- Automated data validation process assured that all data points are of expected quality
- Also, an automated process established to feed the final set of data to push to customer database on a regular interval
60% cost saving
99% data quality
Quick turnaround helped faster Go-To-Market
AI-Augmented Data Processing
AI-driven automation helps fintech start-up to save go-to-market time & saves substantial cost
Image Data Processing
Process automation saved substantial cost and increased efficiency of periodical image data processing
Semi Automated IT
Semi-Automated web application increases employee experience, reduces attrition and saves substantial cost
1.2 Million lab equipment’s data integration saved $25000 per year & Increased operational efficiency.
Process automation and web data mining together reduced substantial time and cost.
Web data scraping automation, data warehousing system and Google map based self-serving dashboard with intuitive user interface.
Automation Lead New Process Lowers Operating Costs, Increases Efficiency & Data Quality, and Improves Speed to Market.
Energy Data Provider
Energy product data provider company with a broad vision for automation turns to AIMLEAP to reduce cost & increase efficiency.
Properties made available in near real time after they appear on the source websites and detects inactive listing faster.