Analytics Review
Analytics Review is a systematic process for evaluating and interpreting data analytics outputs, such as reports, dashboards, or models, to ensure accuracy, relevance, and actionable insights. It involves assessing data quality, methodology, and presentation to support data-driven decision-making. This practice is commonly used in business intelligence, data science, and software development to validate findings and optimize analytics workflows.
Developers should learn Analytics Review to enhance data reliability and improve collaboration with data teams, especially when building data-intensive applications or integrating analytics into products. It is crucial for roles involving data pipelines, dashboard development, or A/B testing, as it helps identify errors, validate assumptions, and ensure that analytics outputs align with business goals, reducing risks from flawed data interpretations.