Part 4/14:
Data Silos: Different teams and systems create isolated data pools, hindering a unified view.
Inconsistent KPIs: Diverse metrics across departments lead to conflicting insights.
Human Errors: Manual data entry and governance flaws cause inaccuracies.
Poor Data Quality & Governance: Lack of standardized processes leads to duplicates, outdated data, and unreliable forecasts.
Ganesh emphasized that flawed data impairs visibility and causes forecasting errors, influencing everything from production schedules to customer satisfaction.
Key Challenges Faced by Modern Supply Chains
Ganesh identified four core issues:
- Lack of end-to-end visibility: Due to data inconsistencies and silos.