Data Maturity Levels
At a startup, typically the main concern is survival. Advanced analysis techniques and machine learning is often a luxury or even a distraction from the prime directive - don't die. However, as a startup grows,the data requirements evolve and eventually the startup morphs into a larger company where data is a core competitive advantage that drives decision making and product features.
In this talk, I describe what this evolution looks like and provide a framework to evaluate the different data maturity levels that a company may be at. This framework can not only be applied to a growing company, it can also be applied to a team or department within an already established company.
Data Engineers, Data Analysts, Data Scientists, Big Data professionals