Quick Overview
easyA created multiple AI-powered dashboards for finance and fitness clients, consolidating large datasets, integrating predictive analytics, and providing customizable, real-time visualizations. AI-driven alerts and anomaly detection enabled proactive issue resolution and performance optimization.
easyA
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Consolidating fragmented data and enabling timely, actionable insights
Key Metrics
\- Real-time visibility\- Proactive AI alerts\- Scalable/adaptable dashboards\- Faster decision-making
The Problem
Clients faced siloed data from financial and fitness platforms, causing delays and missed opportunities
The Solution
Built secure data pipelines, integrated AI/ML for forecasting and anomaly detection, and designed dynamic, customizable dashboards
Results
\- 40% faster decision-making\- 25% fewer operational inefficiencies\- Dashboards adapted to new data streams
Details
Industry
Finance & Banking
Departments
Product Development & Innovation
Data & Analytics
Use Cases
No items found.
Tags
Machine Learning
Time-Saving
Cost Reduction
AI Tools Used
No items found.
Sources
https://www.easyauthoring.com/easya-sw/case-study/multiple-dashboard-with-ai
More Case Studies
See All
How Standard Chartered Uses AI-Driven Compliance Monitoring to Enhance Regulatory Adherence and Fraud Detection
Finance & Banking
How Talla Uses AI Chatbots and NLP to Automate Employee Inquiries and HR Support
Technology & SaaS
How The Bridge Used Google AI to Optimize Lead Scoring and Advertising ROI
Education & EdTech
How The Second City Halved Invoice Processing Time and Saved $40K Annually with Ramp Bill Pay
Media & Entertainment
How IBM Watson Cognitive HR Enhances Talent Management with AI-Powered Performance Analytics
Technology & SaaS
How WilmerHale Uses Casetext CARA AI to Reduce Legal Brief Preparation Time and Improve Accuracy
Legal