Context
Before working with iData, JFK experienced slow credit approval processes, typically taking 3 to 5 days, due to manual workflows and poorly integrated systems. With no performance indicators and no scalable infrastructure, the organization needed to accelerate credit analysis and modernize its cloud architecture.
The Challenge
The main challenge was limited technological maturity. JFK relied on outdated on-premise infrastructure, with no prior experience in cloud environments or advanced analytics tools. Credit analysis processes were fully manual, extending approval times to several weeks. This resulted in operational inefficiencies, lost business opportunities, and a significant constraint on organizational growth.
Solution
Modern cloud architecture and a next-generation credit decision engine
- Credit approvals in 3 minutes and 24 seconds
- Significant improvement in operational efficiency
- Successful migration to the cloud
Technologies Applied
- On-premise databases
- Web Services
- Experian
- WorkManager E.D
- VPN Gateway
- VNet
- VM
- Integration Runtime
- Azure Data Factory
- Azure Data Lake
- Azure SQL Database
- Azure Databricks
- Azure Synapse Analytics
- Azure Functions
- Azure App Service
- Power BI
- Azure Private Link
- Azure Automation Account
- Azure Key Vault
Satisfied clients across multiple industries
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FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Data & AI
What benefits does my company gain by implementing data and AI-based solutions?
By implementing data and artificial intelligence solutions, your company can make faster and more accurate decisions, automate processes, improve operational efficiency, reduce costs, and gain real-time visibility into business performance.
How can I tell if my company is ready for a data strategy?
Your company is ready if it handles large volumes of information, needs to improve decision-making, faces process inefficiencies, or requires greater operational visibility. During an initial consultation, we assess your data maturity level and define a tailored roadmap.
Do you work with companies across different industries?
Yes. iData supports organizations in sectors such as retail, logistics, technology, manufacturing, education, healthcare, and more. We adapt every solution to the specific context, challenges, and needs of each industry.
What sets iData apart from other data consulting firms?
We stand out by combining strategy, cutting-edge technology, automation, proven methodologies, and partnerships with global leaders such as Microsoft and Databricks. Our approach is comprehensive and results-driven.
How long does it take to implement a data or AI solution?
Timelines depend on the type of project, its complexity, and the company’s existing systems. However, most initial implementations can be delivered within 6 to 12 weeks, with visible progress from the early stages.
What type of support do you offer after implementation?
We provide ongoing support, monitoring, optimization, and strategic guidance to ensure the solution evolves alongside your business. Our expert team ensures the platform remains stable, secure, and aligned with your objectives.
