The Data Analytics Lifecycle

The Data Analytics Lifecycle is a structured process for turning raw data into useful insights. It starts with understanding the problem and defining goals. Next, relevant data is collected and cleaned to ensure accuracy. Then, the data is analyzed through various methods to identify patterns or trends. These findings are interpreted to derive meaningful conclusions. Finally, results are communicated clearly, enabling informed decisions. This cycle often repeats to refine insights and support continuous improvement. Overall, it ensures data is systematically used to solve problems and make better choices.