Import past sales, seasonality, and campaign data.
Build forecast visualizations (monthly/quarterly).
Identify revenue leaks & top-performing products.
Output: Business forecasting dashboard with insights.
Perform RFM scoring (Recency, Frequency, Monetary).
Group customers into value segments (VIP, new, at-risk).
Recommend marketing strategies for each segment.
Output: Customer value segmentation report.
Analyze attrition reasons: salary, workload, promotion delays.
Identify patterns based on age, role, tenure, and skill.
Recommend HR policies to reduce turnover.
Output: HR analytics retention dashboard.
Compare store-wise sales, profit, footfall, and inventory.
Identify underperforming stores with poor ROI.
Recommend resource redistribution and pricing changes.
Output: Retail performance summary dashboard.
Measure campaign reach, engagement, CTR, and CAC.
Compare paid vs organic conversions.
Identify most profitable channels.
Output: Campaign ROI insights & recommendation plan.
Analyze borrower data — income, credit score, history.
Identify traits of high-risk vs low-risk customers.
Provide insights to reduce default rates.
Output: Credit risk analysis dashboard.
Analyze customer reviews for satisfaction trends.
Identify high-profit vs low-profit menu items.
Recommend pricing & menu redesign.
Output: Customer satisfaction and menu strategy dashboard.