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AIAP Topic Courses·Data Analysis·01:57

Diagnostic and Predictive Analysis: Why It Happened and What Comes Next

Data Analysis trainer (unnamed) Marketing-analytics practitioner; runs four AI data tools on one e-commerce orders dataset
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The short version

  1. Diagnostic finds root causes by connecting factors: a stockout at festival time, telecom churn traced to outages in three pin codes. Predictive forecasts from history like Google Maps' ETA: next month's churn, Diwali demand, Netflix recommendations, card fraud (0:00-0:01).

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01Diagnostic (why) and predictive (what will happen)Diagnostic = cause;›

Diagnostic = cause; predictive = forecast.

Diagnostic (0:00)

Predictive (0:01)

↓ Full write-up of this concept

The concepts in full

01

Diagnostic (why) and predictive (what will happen)

Churn spiked. Diagnostic says: three pin codes had outages. Predictive says: here is who leaves next month.

Diagnostic analysis connects factors to find causes and anomalies - AI surfaces hidden correlations and outliers (a key product out of stock at festival time; churn traced to network outages in three pin codes). Predictive analysis uses statistical and machine-learning models on history to forecast - Google Maps' ETA from traffic, past trips and weather; business cases: churn next month, Diwali demand, recommendations, fraud detection.

Why it matters

The middle two of the four types.

Tools referenced

ToolCoverageMomentContext
Google MapsmentionedETA analogy
Netflixmentioned

Action items

    Resources mentioned

    Resources
    • docLesson page on the platform

    Extraction notes

    This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

    Transcript corrections applied

    The transcript saysThe trainer actually means
    DiagonisticDiagnostic (lesson title)
    Charge GPT / Chart GPT / ChargeGPDChatGPT
    cloud / Cloud AIClaude
    Mishou / Misho / MISOMeesho
    main dot com / mail dot comMake.com

    True on recording day — verify before relying

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