The many businesses we have engaged and worked with over the years have had many different approaches to data management, some more effective than others. The common challenges and issues we have identified in these clients are easy to let occur but have significant impacts if not addressed.

Without adequate processes, people and infrastructure, the accuracy and the reliability that of key data crucial to the strategic planning of a business is quickly lost.

Data Foundations

Establishing accurate and accessible data is the first essential step in building solid foundations for continuous improvement. However, without adequate processes and infrastructure in place supporting it then this accuracy and reliance will quickly diminish.

Data Standard Examples

• Standard crewing requirements
• Material consumption value
• Run rates
• Planning efficiencies
• Material costings
• Labour costings
• Supplier lead times
• Product weights
• Product dimensions
• Pallet conversions
• Load capacities
• Route durations

Capturing value from data depends on the integrity of the entire value chain, and the chain is only as strong as its weakest component. Organisations looking to be successful in capturing value from their data must ensure excellence in all components and steps of the value chain.

Common Issues and Impact

We have experienced many different processes and structures within clients and their approaches to data management, some more effective than others. If the data is not kept updated, accurate and accessible, this causes a range of issues in day-to-day operations and any improvement projects.