Final answer:
The third phase in the data analytics lifecycle is the Program Evaluation Phase, consisting of analyzing the problem, interpreting the data using tools like statistics, and determining next steps.
Step-by-step explanation:
The third phase of the data analytics lifecycle is the Program Evaluation Phase. During this phase, there are several key steps that need to be undertaken to effectively analyze and interpret the data collected. Firstly, you must analyze the problem and identify the information that has been given. This might involve creating visual aids like timelines or graphs to conceptualize the data in a meaningful way.
Once the preliminary organization of the data is complete, the next step is to interpret the data. This involves asking critical questions about the data to understand what it conveys and whether it supports your hypotheses. Tools like statistics are commonly used in this process to help discern patterns or trends from the raw data. Finally, the findings from the analysis are used to determine the outcomes and to decide on the next steps. This involves planning further research, if necessary, or moving on to implement solutions based on the evidence gathered.