Data Fluency & Insight
Turning Data into Insights
Translate raw data into validated insights that tell leaders what the information means and what to do next.
Standard version
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Presenting raw data rarely tells decision makers what the information means or why it matters. This course helps participants translate complex data into clear, validated insights, structure findings so leaders know what to do next, and choose visuals that reinforce the message. AI is used throughout as an accelerator for thinking, not a replacement for it. The course pairs with Data-Driven Decision Making for a two-day program.
What you'll learn
- Distinguish between raw data, information, and a true insight.
- Frame focused, decision-connected questions before turning to AI.
- Prepare and organize raw data, and catch missing values, duplicates, and inconsistencies.
- Validate AI-generated findings claim by claim before acting on them.
- Structure insights using What, So What, Now What and SCQA, supported by effective visuals.
What you'll be able to do
- Turn raw data into insights leaders can act on.
- Ask better questions before opening any tool.
- Defend every finding without relying on AI.
- Present findings clearly, with visuals that inform instead of mislead.
- Use AI responsibly with transparency, accuracy, and human oversight.
Federal employees regularly share operational data and reports with leaders who need to know what the information means and what to do next. This course helps participants translate complex data into clear, validated insights, structure findings so decision makers can act, and choose visuals that reinforce the message. AI is used throughout as an accelerator for thinking, not a replacement for it, with a strong focus on validating output and protecting sensitive information. It pairs with Data-Driven Decision Making for a two-day program.
What you'll learn
- Distinguish between raw data, information, and a true insight.
- Frame focused, decision-connected questions before turning to AI.
- Prepare and organize raw data, and catch missing values, duplicates, and inconsistencies.
- Validate AI-generated findings claim by claim before acting on them.
- Structure insights using What, So What, Now What and SCQA, supported by effective visuals.
What you'll be able to do
- Turn raw data into insights leaders can act on.
- Ask better questions before opening any tool.
- Defend every finding without relying on AI.
- Present findings clearly, with visuals that inform instead of mislead.
- Use AI responsibly with transparency, accuracy, and human oversight.