Types of Data‐Intensive Use Cases Based on Business Objectives

As with all types of business‐facing strategies, one can categorize data strategies based on the unique business objectives that they support within the organization. For purposes of data strategy development, data‐intensive use cases are categorized as operational improvements, product‐led growth (PLG) improvements, growth marketing improvements, decision‐support improvements, financial improvements, and data monetization. Operational improvements use cases focus on improving the efficiency of business processes to reduce operational costs. PLG strategies are based on the idea that a company's product is the cornerstone of the company's growth trajectory. Decision‐support use cases deploy data technologies, skill sets, and resources to enhance and improve decision‐making processes across an organization. Financial improvement use cases enable strategic investments, foster financial stability, and support overall growth. Data monetization involve leveraging data resources and skill sets as a strategic asset to build new revenue streams.