Ethical Intelligence
1
Raw Data Sources (Master Ingestion Layer)
- Databases (SQL / NoSQL)
- Files / Excel / CSV Data
- Cloud Apps & SaaS Portals
- ERP / CRM Enterprise Systems
- Web Services & REST APIs
- IoT & Streaming Edge Sensors
2
Data Collection
- Extract data from sources
- Schedule extraction
- Ensure secure data transfer
- Log & monitor extraction
3
Profiling & Assessment
- Analyze structure & data types
- Check completeness
- Detect duplicates
- Assess data quality
- Identify issues and patterns
4
Data Cleansing
- Remove duplicates
- Fix missing values
- Correct errors
- Standardize formats
- Validate data
5
Data Transformation
- Standardize & format
- Apply business rules
- Derive new fields
- Aggregate data
- Calculate KPIs
- Enrich data
6
Data Integration
- Combine data from multiple sources
- Resolve key conflicts
- Create unified view of data
7
Data Storage (DW / LAKE)
- Store data securely
- Structured / semi-structured storage
- Optimized for performance and scalability
Phase Transition: Modeling & Analytics Engine
8
Data Modelling
- Design data model (Star / Snowflake)
- Define fact & dimension tables
- Create relationships & hierarchies
- Optimize for reporting
9
Analysis & KPI Definition
- Understand business requirements
- Define KPIs & metrics
- Establish calculation logic
- Document business rules
10
Dashboard Design
- Identify audience and goals
- Select KPIs & visuals
- Design layout & user experience
- Create wireframes / prototypes
11
Visualization & Reporting
- Build interactive dashboards
- Use appropriate visualizations
- Add filters, slicers and drill-downs
- Ensure accuracy and clarity
12
Insights & Decisions
- Interpret insights
- Identify trends and opportunities
- Make data-driven decisions
- Communicate findings
13
Business Value & Action
- Implement actions
- Improve processes
- Drive performance and growth
- Monitor results and iterate
Post-Pipeline Operations
Four standard enterprise pillars that govern data integrity, security, and activation after modeling.
01
Data Lineage & Traceability
- Visual DAG lineage from source to report
- Root-cause auditability for every KPI
- Immutable revision logs & SHA-256 hashes
- Upstream & downstream dependency mapping
02
Data Observability & Health
- Freshness & SLA latency tracking
- Volume anomaly & null rate detection
- Automated schema drift alerting
- Continuous data quality assertions
03
Security & PII Protection
- Dynamic column & row-level PII masking
- POPIA, GDPR & PFMA compliance enforcement
- Role-Based Access Control (RBAC / ABAC)
- AES-256 encryption in-transit & at-rest
04
Operational Activation
- Reverse ETL data sync to operational tools
- Automated ticket escalation (Jira, Slack, ERP)
- Real-time alert triggers on ethical drift
- Closed-loop remediation tracking