Establish an effective data management strategy
An effective data management strategy goes beyond just collecting and storing data; it ensures your data's quality, consistency, and timeliness. To do this, you need to establish robust data governance processes. These processes can help identify and address data inaccuracies and inconsistencies, ensuring your insights and decisions are based on reliable data. Consider establishing a dedicated data management team or centre of excellence, conducting regular data quality audits, and collaborating with external experts or consultants to ensure the robustness and integrity of your data systems.
EXAMPLE: P&G leverages real-time analytics for sustainable supply chain management
P&G's "control tower" technology streamlines its supply chain through real-time data analytics, enhancing resilience and sustainability.¹ The tool helps predict disruptions, such as natural disasters, enabling proactive responses that minimise waste and maintain throughput. This data-centric approach is central to P&G's contingency plans, ensuring efficient use of resources and strengthening supplier collaborations for long-term sustainability.