Process Discovery
PRACTICE
INTELLIGENT AUTOMATION
Techniques and tools identifying, mapping, and documenting actual operational enterprise processes from observed data.
PRACTICE
DATA ENGINEERING
Extract, Transform, Load (ETL)
A data-integration pattern in which data is retrieved from sources, transformed into the required structure, and then loaded into a target system.
BUSINESS RELEVANCE
ETL supports controlled, repeatable preparation of data for reporting, migration, compliance, and operational use, especially when the target should receive only curated data.
IMPLEMENTATION EXAMPLE
A nightly process extracts CRM and billing records, standardizes account identifiers, validates currencies, calculates revenue fields, and loads approved tables into a warehouse.
LIMITATIONS
Pre-load transformation can increase latency and infrastructure complexity. Rigid pipelines may be difficult to adapt when source schemas or analytical needs change, and transformation errors can silently propagate without testing.
TECHNICAL EXPLANATION
Extraction collects source data; transformation validates, cleans, joins, standardizes, and applies business rules; loading writes the prepared result to a warehouse or other destination. ETL often uses a separate processing layer before the target receives data.
Secondary Topics
Systems Architecture
Sources
IBM — ETL — https://www.ibm.com/think/topics/etl; Apache Airflow Documentation — Pythonic Dags with the TaskFlow API — https://airflow.apache.org/docs/apache-airflow/stable/tutorial/taskflow.html
Related terms
Business Process Automation (BPA)
PRACTICE
INTELLIGENT AUTOMATION
Technology-driven automation of repetitive, multi-step enterprise workflows to increase operational efficiency and accuracy.
Data Enrichment
PRACTICE
DATA ENGINEERING
How enrichment fills CRM records with firmographic, contact and technographic attributes from outside providers, and the checks it needs.
Marketing Attribution
PRACTICE
PERFORMANCE ADVERTISING
The analytical practice of assigning value and revenue credit across the marketing channels and touchpoints that precede conversion events.
Intelligent Document Processing (IDP)
PRACTICE
INTELLIGENT AUTOMATION
Intelligent document processing reads unstructured and semi-structured documents, extracts key fields, validates them and sends structured data onward.