The Snowplow Data Maturity Model
Blog post from Snowplow
As businesses evolve, they progress through distinct stages of data maturity, each characterized by varying levels of data capability and strategy. Snowplow identifies five stages: Data Aware, where companies begin establishing their data strategy with limited resources and siloed data; Data Capable, marked by the initial integration of data warehousing and analytics platforms, yet hindered by data silos and a lack of comprehensive integration; Data Adept, where data teams expand and begin experimenting with machine learning while facing challenges in data governance and infrastructure; Data Informed, characterized by the development of data products and strategic data deployment across multi-cloud environments, yet constrained by data quality and compliance issues; and Data Pioneers, exemplified by companies like Netflix and Amazon, where data is integral to operations, driving real-time personalization and requiring advanced data infrastructure maintained by specialized engineering teams. Snowplow's maturity model aims to guide businesses in understanding their current data strategy, identifying challenges, and providing pathways to enhance data utilization, underscoring the importance of tailored solutions and infrastructure flexibility at various maturity stages.