Analytics Problem Solving - Art to Science

Clarify that an insight is not data, technology, or business jargon; empower stakeholders to make better decisions.

Learn to generate big, useful, and surprising insights by turning vague problems into secondary objectives, using a checklist framework, and applying attainment percentages, storytelling, and audience-focused presentation.

Explore insights generation frameworks to define success with multiple metrics, and apply the four framework, the 8020 rule, and two-by-two matrices to transform data into actionable observations.

Apply the four piece framework to break down marketing decisions into data-driven questions about product, price, place, and promotions, measuring channel ROI and ROAS across online and offline channels.

Reallocate offline to online spend, optimize at the site level, and focus on the 25% of sites driving two-thirds of revenue and 60% of margin, using quadrant analysis to reinvest.

Extract observations from a case study on student marks and birth months, and explore whether marks depend on birth month using India birth data with color-coded charts.

Investigate whether student marks depend on birth month, challenging the null hypothesis, and observe how August–December versus January–July cohorts and rounding numbers to five or ten relate to outcomes.

Analyze the data set to assess sales member performance across products, regions, and time (year and quarter). Use unit sales and targets to generate actionable recommendations and a dashboard.

Outline a pseudo algorithm and an analysis framework before building dashboards. Divide dashboards into sections for drivers of success, track actuals and attainment, and apply bus framework to surface insights.

Create a complete dashboard linking time performance, regions, products, and sales attainment with actuals. Use the requirement gathering framework and Bus Insight Selection Framework to generate practical recommendations.

Analyze how comparing spend and sales seasonality indexes reveals opportunities to optimize the marketing dollar by reallocating funds from July and Black Friday to President's Day for higher returns.