The actual dashboards, models, and deep-dive analyses behind our engagements, each connected to a case study so you see the architecture, the question, and the answer side by side.
Not screenshots, the real dashboards and reports, each opening a self-contained page with the deep-dive report, underlying data, and downloads.
Segments DirecTV's subscriber base by behavioral archetype, content affinity, and revenue tier, feeding a command-center dashboard for the audience team.
Genre- and title-level affinity scoring per audience cohort, with a programming-mix recommender for retention-at-risk segments.
12- and 24-month LTV predictions per acquisition cohort, plus an LTV-to-CAC dashboard to steer marketing investment toward profitable segments.
Multi-touch attribution model that re-weights credit across paid, owned, and earned touchpoints to reveal the channels actually driving stream activations.
Decomposes voluntary and involuntary churn across tenure cohorts, with leading-indicator signals that fire 30+ days before cancellation.
Cohort retention curves, save-offer effectiveness, and the channel-mix that maximises 12-month retention against control.
Stage-by-stage lifecycle view, acquisition, activation, engagement, retention, win-back, with conversion and value metrics at every gate.
End-to-end dashboard for the DirecTV Stream launch campaign, paired with the full case-study PDF deliverable.
360-degree view of HotD Season 3 viewership on DirecTV, co-watching patterns, drop-off, and ad-product lift.
A Copilot Studio assistant that answers safety questions in plain English: where violations concentrate, which contractors trend worse, and what to audit next. The audit consolidated fragmented sources into a single source of truth, then layered conversational analytics on top.
Power BI dashboard with contractor ranking and filtering, showing violation concentration, trend direction by site, and the leading indicators that predict the next incident.
The entry point to an eight-domain analytics curriculum for Microsoft sales compensation, plan architecture through governance, with live models in each domain.
The full data-to-decision pipeline: source tables, feature engineering, attainment modeling, payout simulation, and cost roll-up in one connected walkthrough.
Plan anatomy, pay mix, OTE vs target incentive, quota mechanics, thresholds, accelerators, caps, and governance.
Top-down vs bottom-up methodology, territory allocation, quota fairness testing, coverage ratios, and regression-based quota models.
Linear vs stepped vs accelerated curves, kink points, SPIFFs, overlays, clawbacks, and draw structures, with payout mechanics modeled.
Attainment distributions, P50/P90 cost estimates, behavioral response, and sensitivity analysis via Monte Carlo simulation.
ΔCost vs ΔRevenue decomposition, elasticity, cost-of-sales benchmarking, and windfall / sandbag analysis.
A visual map of all eight domains and how they connect, the recommended end-to-end learning path.
