A Multi-Lens Approach to Data Strategy: From Linear to Design to Systems Thinking

In the rapidly evolving world of data-driven decision-making, crafting a sound data strategy requires more than just collecting numbers. Depending on the perspective you adopt, you could approach data from very different angles — each contributing uniquely to the broader strategy.

1. Linear Thinker: Focusing on Immediate Needs
A linear thinker, when tasked with data strategy, will focus on the most immediate requirements. They will be driven by specific asks from stakeholders or business partners, aiming to answer direct, quantifiable questions. For example, “How are total sales or demand performing compared to expectations?” or “What is the market share for this brand compared to last year?” Their approach tends to be tactical — focusing on acquiring the necessary data (E. Claims/lab datasets) to meet short-term business goals.

Linear thinkers excel in breaking problems into smaller, more manageable parts. However, their perspective may miss the larger context or longer-term opportunities, as they prioritize immediate demands.

2. Design Thinker: A Holistic Understanding of the Problem
A design thinker, on the other hand, looks beyond the immediate data request. They ask deeper questions to understand the strategic imperatives…