SCOPS09-BP01 Automate integrated data pipelines for real-time demand and supply data refresh across the supply chain - Supply Chain Lens
Implementation guidance

SCOPS09-BP01 Automate integrated data pipelines for real-time demand and supply data refresh across the supply chain

To achieve an agile and responsive supply chain, it is imperative to have access to up-to-date and accurate demand and supply data. This necessitates the implementation of automated and integrated data pipelines that can provide real-time or near real-time data refresh from all relevant sources, both internal and external.

Identifying current data flow bottlenecks and manual processes is the first step toward optimization. Investing in data integration tools and systems that support real-time processing, along with configuring real-time data streaming for critical datasets, is essential.

Establishing robust data validation, cleansing, and governance procedures maintains data quality. Regularly reviewing and optimizing these data refresh processes and technologies further enhances the accuracy of forecasts, optimizes inventory, and enables faster responses to disruptions and market fluctuations.

Desired outcome: Access to up-to-date and accurate demand and supply data, enabling agile planning, rapid response to market changes, and optimized inventory levels.

Benefits of establishing this best practice:

  • Improved accuracy of demand forecasts and supply plans.

  • Reduced lead times and optimized inventory levels.

  • Faster response to disruptions and market fluctuations.

  • Enhanced decision-making based on current information.

  • Increased operational efficiency and reduced manual effort.

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

  • Map your current data flows and identify bottlenecks or manual processes, then Invest in data integration tools and systems that support real-time data processing.

  • Prioritize critical data streams for real-time refresh based on their impact on decision-making to maximize the effectiveness of your data refresh initiatives.

Implementation steps

  1. Identify all sources of demand and supply data within your organization and with partners.

  2. Implement automated data capture and integration solutions (for example, APIs, ETL tools).

  3. Establish data validation, cleansing, and governance procedures.

  4. Configure real-time or near real-time data streaming for critical datasets.

  5. Regularly review and optimize data refresh processes and technologies.