A strong foundation of data and technology capability is essential for successful analytics and AI implementations. This includes having the right platforms and applications to collect, store, process, and analyse data effectively. Organisations need to invest in robust data management systems, data repositories and cloud-based platforms to ensure scalability, reliability, and accessibility of data.

Key questions businesses need to ask themselves

• What is the current state of our data infrastructure? Assessing the existing hardware, software, and tools will help identify any gaps or limitations in data collection, storage, processing, and analysis capabilities.
• Can we scale our data infrastructure to handle increasing volumes of data? It is crucial to evaluate the scalability of the data management platforms to ensure that AI and advanced analytics can thrive.
• Are our data security and compliance measures robust? Organisations must address data privacy concerns must address concerns around cyber threats, data privacy and ensure compliance
• How can I scale the data capability and maturity of my business in a sustainable manner? e.g. via sustainable cloud architecture principles, cloud environment usage reviewing and/or automated shutdown, or even hybrid working policies to reduce emission from travel.

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