Yalantis Data Readiness Framework – AI-Ready Data Transformation

The Yalantis Data Readiness Framework is an industry-proven, layered approach to transforming fragmented, unreliable data into structured, AI-ready assets that drive intelligent automation, forecasting, and operational efficiency. Built for industries like Supply Chain, Finance, and Healthcare, this offering combines technical depth with real-world relevance.

Through a 10-week, fixed-cost engagement, our team assesses your current data landscape to identify gaps and bottlenecks. We then build a Proof of Concept (PoC) tailored to your industry needs, showcasing tangible business outcomes—from improved demand forecasting to reduced supply chain disruptions.

The framework includes four interdependent layers:

1. ETL & Data Engineering – Ensures structured raw data ingestion and transformation.
2. Data Quality & Governance – Establishes accuracy, compliance (GDPR, HIPAA), and self-healing pipelines.
3. BI & Visualization – Unlocks real-time dashboards, trend forecasting, and KPI tracking for decision-makers.
4. AI & ML Readiness – Prepares datasets and pipelines for advanced AI, predictive analytics, and MLOps.

We leverage AWS-native tools (Redshift, Glue, SageMaker) and cutting-edge platforms (Snowflake, Databricks, Power BI) to ensure seamless integration and high performance. Whether you’re struggling with data silos, regulatory risk, or the inability to scale AI, Yalantis delivers a roadmap and working solution built to evolve with your business.