Turning Customer Data into an Asset

"Data is the new oil."
Clive Humby 2006

The phrase 'Data is the new oil' is widely attributed to Clive Humby, a British mathematician, data scientist and co-founder of Dunhumby – a customer data science company optimising retail personalisation and shopper experiences. Humby, known for his work on British supermarket Tesco's Clubcard loyalty programme, used the analogy to highlight how raw data, like crude oil, needs refining (processing and analysis) to become valuable. The phrase has since been popularised by business leaders and academics to emphasise the strategic importance of data in the digital economy.

Dunhumby helped Tesco leverage Clubcard data to understand customer behaviour, personalise promotions, and strengthen customer loyalty. By analysing purchase patterns, Tesco optimised pricing, product assortment, and targeted marketing, boosting sales and retention. This customer-centric approach helped transform Tesco into the UK's top retailer by deepening engagement and driving long-term profitability.

Data is Now More Valuable than Oil

In many ways, data is more valuable than oil because it is not finite and increases in value when properly managed and analysed. Oil depletes with use, until it's used up. Data however can be collected, refined, added to, and reused indefinitely, providing continuous insights that drive innovation, efficiency, and decision-making in retail banking. Retail Banking Institute, 2025:

"Data: the only resource that grows the more you use it."

Turning Raw Customer Data into an Asset

Retail banks hold vast amounts of customer data, from transaction history and account activity to digital interactions and behavioural insights. However, like crude oil, raw data has little value unless refined through analysis and strategic application. When properly managed, customer data becomes a powerful asset that improves personalisation, improves customer engagement, and drives business growth.

How Raw Data Becomes Valuable

To turn data into a competitive advantage, banks must analyse customer behaviour, segment customers effectively, and predict needs using AI and machine learning. For example, behavioural segmentation can identify high-value customers for premium services, while life stage segmentation helps banks offer timely financial solutions, such as mortgage options for new homeowners. By integrating data across CRM systems, banks can create a smooth omnichannel experience, ensuring personalised offers and proactive engagement.

Enhancing Customer-centric Strategies

Just as Tesco's Clubcard loyalty programme used data to personalise promotions and optimise inventory, banks can leverage customer data to tailor financial products and marketing efforts. Banks collect vast amounts of transactional and behavioural data through customers' card transactions, mobile banking app use and the products that they hold or enquire about. Understanding this data, their spending habits, preferred communication channels, and financial goals allows banks to offer relevant credit products, investment opportunities, and advisory services. This deepens customer relationships and can create long-term loyalty.

Data Governance: Ensuring Trust and Compliance

While data presents immense opportunities, responsible data governance is essential to protect privacy, comply with regulations, and maintain customer trust. Banks must implement robust security measures, ensure compliance with data protection laws (such as EU's GDPR), and provide customers with transparency and control over their data. Poor data governance can lead to breaches, regulatory penalties, and reputational damage, turning a valuable asset into a liability.

From Insight to Action

Banks that effectively refine and apply customer data can move beyond reactive banking to predictive and proactive engagement. Modern data analysis-driven CRM systems can anticipate customer needs, automate next-best-action recommendations, and deliver hyper-personalised experiences. By combining advanced analytics with ethical data practices, retail banks can transform data into a sustainable, long-term asset that drives both customer satisfaction and profitability.