Processes in this Phase

2.1 →

Data Collection

Gather and consolidate relevant data from identified sources, establishing data pipelines and access protocols.

Data Sources ETL APIs
2.2 →

Data Description

Document data characteristics, structures, and metadata. Create comprehensive data dictionaries and schema documentation.

Data Dictionary Schema Metadata
2.3 →

Data Exploration

Perform exploratory data analysis (EDA) to uncover patterns, distributions, and preliminary insights from the data.

EDA Visualization Statistics
2.4 →

Data Quality Verification

Assess data quality dimensions including completeness, accuracy, consistency, and timeliness. Identify and document quality issues.

Quality Metrics Validation Profiling
2.5 →

Data Feasibility Assessment

Evaluate whether available data can support the project objectives. Document gaps and recommendations for data acquisition.

Gap Analysis Feasibility Recommendations