You Don't Need More Data—You Need the Right Data Sources

Organizations often face challenges with data sourcing, which can lead to mistrust in analytics and decision-making inefficiencies. The issue arises when data is pulled from multiple, undocumented sources, leading to discrepancies in metrics and causing teams to duplicate dashboards or perform side calculations. This problem is compounded by the sheer volume of data available, necessitating a focus on structuring and clarifying data sources to ensure they accurately reflect business operations. Evaluating data sources involves assessing data quality, accessibility, scalability, and strategic relevance. Different teams prioritize different aspects of data sources based on their specific needs, with finance valuing stability, marketing prioritizing timeliness, product focusing on user behavior, and operations requiring speed and clarity. Data sources may need to be retired if they lack clear ownership, no longer align with business operations, create conflicting metrics, or require frequent manual intervention. Building a better sourcing strategy involves regularly reassessing data sources to ensure they support current business questions and removing those that no longer add value.