In today’s business landscape where data plays the central role, analytics plays a crucial role in guiding marketing strategy. Analytics, however, is it science or art? It is both—systematic data analysis (science) and artistic interpretation of incomplete data (art). Organizations have to find both extremes in the middle and make evidence-driven decisions to propel growth.
When Analytics is a Science
Analytics as a science is founded on correct, measurable information. Businesses track performance indicators (KPIs), customer behavior, and monetary movements with structured sets of information.
For example, Starbucks uses analytics to discover store sales trends, stock, and price efficiency. By examining transaction histories on its POS machines, Starbucks can adjust supply chain operations and price optimization methods in accordance with current buying behavior.
But analytics is only as good as the data one has. If a business does not have full data—e.g., inventory levels at third-party retailers—it can only track shipments, not actual stock levels. This lack can cause misinterpretation unless filled with educated assumptions.
When Analytics is an Art
Analytics is an art when marketers make assumptions, interpret incomplete data, and extract insights from trends.
For example, Nike uses marketing analysis to quantify product placement effectiveness in convenience stores. But sales data from most small retailers do not include actual inventory turnover. Nike’s analysts estimate product distribution based on the volume of shipments and demand from consumers in key areas, making informed guesses about inventory.
Similarly, Netflix applies artistic analytics to recommend content on an individualized basis. Netflix never knows why someone enjoys specific genres, yet through linking user patterns with historical trends, Netflix predicts and picks customized recommendations to generate maximum interaction.
Why Companies Need Both Methods
- Scientific Analytics provides data-driven, quantifiable insights to make decisions.
- Artistic Analytics bridges the gaps where complete data does not exist and allows for strategic assumptions.
For instance, Coca-Cola uses both approaches when launching new products. It uses scientific analysis to track sales volume and local trends, but creative insights to predict demand in new markets where consumer behavior data are limited.
Conclusion
Analytics is not art or science—both. Data-driven insights and creatively interpreting incomplete data form the basis of marketing strategy at Starbucks, Nike, Netflix, and Coca-Cola. Succeeding in striking a balance between these two extremes is what separates data-driven companies from others.
The best decisions come from knowing when to trust the data and when to read between the lines.
