AI-Driven Data Analytics and Decision Intelligence Summit 2026

Fragmented data pipelines create delays and errors in decision-making. Finance, sales and operations teams often rely on disconnected systems. Structured systems like ERP and accounting tools run on controlled, batch updates, while sales and customer platforms generate real-time data with inconsistent schemas. These mismatches lead to misaligned signals, latency gaps and unreliable outputs.

This session introduces a framework to unify structured and unstructured data across departments. Learn to normalize schemas and balance real-time and batch processing and discover ways to preserve data integrity when combining audited financial data with variable operational inputs. Hear real-world examples highlighting pipeline failures, including revenue leakage from CRM–billing misalignment and forecast errors caused by unstructured sales data. Receive a governance model with access control, validation checkpoints, and auditability to ensure consistent, traceable outputs across departments.

Join Eugina Jordan, CEO and Co-Founder of YOUnifiedAI, to explore practical strategies for building robust pipelines and governance models.

Key Takeaways:
- Map cross-department data flows to identify decision gaps.
- Understand structured and unstructured data collection and processing.
- Evaluate when real-time pipelines are necessary versus batch processing.
- Address department-specific needs for finance, sales, and operations.
- Design pipelines and governance models for consistent, traceable outputs.