Lesson 3.8: The Data Analysis Life Cycle (DALC & CRISP-DM Frameworks)
Learning Objective
Apply industry-standard analytical frameworks (Google 6-Phase DALC and CRISP-DM) to structure end-to-end analytical problem solving from initial stakeholder inquiry to executive action.
π₯ Video Chapter: Chapter 3 β Excel Formulas & Functions (1:38:56)
View Mermaid Syntax
flowchart LR
subgraph S1 ["π― DISCOVERY & SOURCING"]
direction TB
A["<b>1. Ask</b><br/>β’ Frame Business Question<br/>β’ Identify Metrics & Scope"]
B["<b>2. Prepare</b><br/>β’ Sourcing & Extraction<br/>β’ Schema & Integrity Check"]
A ==> B
end
subgraph S2 ["β‘ WRANGLING & ANALYSIS"]
direction TB
C["<b>3. Process</b><br/>β’ Cleanse & Remove Duplicates<br/>β’ Audit Operational Nulls"]
D["<b>4. Analyze</b><br/>β’ Calculate Core KPIs<br/>β’ Uncover Patterns & Trends"]
C ==> D
end
subgraph S3 ["π STRATEGIC IMPACT"]
direction TB
E["<b>5. Share</b><br/>β’ Executive BI Dashboards<br/>β’ Clear Visual Narratives"]
F["<b>6. Act</b><br/>β’ Leadership Decisions<br/>β’ Track Operational ROI"]
E ==> F
end
S1 ==>|Validated Source Data| S2
S2 ==>|Synthesized Insights| S3
The 6 Phases Breakdown
- Ask: Frame the business problem, identify stakeholders, and define measurable objectives.
- Prepare: Discover, collect, and verify data sources; inspect schema and data dictionaries.
- Process: Clean data, handle missing values, resolve duplicates, and ensure data integrity.
- Analyze: Aggregate, calculate KPIs, identify patterns, trends, and correlations.
- Share: Create executive dashboards, data visualizations, and contextual narratives.
- Act: Formulate evidence-based recommendations and monitor business implementation.