CPTD 3.7 Data Analysis Flashcards
(17 cards)
Term
Definition
First step in starting an analytics project
Choose a simple, high-impact project to show value.
Key elements in organizing data
Define question, set goals, audit data, collect and analyze, report and evaluate.
Aligning analytics with business goals
Ensure analytics support company strategy and improve outcomes.
Purpose of stakeholder analysis
Identify needs, goals, and decision-making power to shape the data plan.
Ways to manage expectations in analytics
Be realistic about results; not all analysis leads to big outcomes.
Types of data
Quantitative (numbers) and Qualitative (opinions, text).
Common data interpretation mistake
Assuming correlation equals causation.
Components of data storytelling
Collected data, visuals, and narration.
Charts for relationships between variables
Scatter or bubble charts.
Charts for parts of a whole
Pie charts.
Best practice for data visualization
Keep visuals clear, avoid distortion, show trends.
Data-driven org traits
Strong culture, future-focused, tech-savvy, flexible.
Analyzing employee turnover
Use exit data, heat maps, word clouds, and diagnostic analytics.
Forecasting workforce needs
Use predictive analytics and stakeholder engagement.
Improving diversity and inclusion
Audit diversity data, use clustering and visuals like pie charts.
Evaluating ROI of wellness program
Compare absenteeism/productivity before & after, use benchmarks and storytelling.
