data in action

making predictions. ​

This problem type involves using data to make ​an informed decision about ​how things may be in the future

categorizing things

​This means assigning information to ​different groups or clusters based on common features.

spotting something unusual

​In this problem type, ​data analysts identify data ​that is different from the norm.

​Identifying themes

takes categorization as a step ​further by grouping information into broader concepts. ​

discovering connections

enables ​data analysts to find ​similar challenges faced by different entities, ​and then combine data and insights to address them.

finding patterns

​Data analysts use data to find ​patterns by using historical data to ​understand what happened in ​the past and is therefore likely to happen again.

Phase 6: Act

the six phases of data analysis

• Implement recommendations based on data analysis to meet stakeholder needs.

• Use feedback from the sharing phase to refine actions and decisions.

Phase 1: Ask

the six phases of data analysis

• Define the problem clearly and understand stakeholder expectations.

• Collaborate with stakeholders to maintain open communication.

Phase 2: Prepare

the six phases of data analysis

• dentify necessary data and organize it for analysis.

• Establish security measures for data protection

Phase 3: Process

the six phases of data analysis

• Clean the data to eliminate errors and inconsistencies.

• Use tools to check for biases and ensure data accuracy.

Phase 4: Analyze

the six phases of data analysis

• Sort and format data to facilitate calculations and insights.

• Determine the narrative the data presents and its implications for stakeholders.

Phase 5: Share

the six phases of data analysis

• Present findings using clear visuals like graphs and dashboards.

• Ensure the presentation is engaging and easy to understand for stakeholders.