Phase 02 of the Data Science Lifecycle

Identifying and Accessing the Right Data

Data is the raw material of every AI solution. We identify relevant data sources and assess their quality.

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Data as a Strategic Asset

The quality of your data determines the ceiling of what AI can achieve.

Data Inventory

Systematic cataloguing of available data sources with relevance assessment.

Quality Analysis

Evaluation of completeness, consistency, and accuracy.

Access Pathways

Identifying optimal routes for secure data provision.

Phase 02 – Data Acquisition diagram

Our Approach

Inventory

We capture and catalogue all relevant data sources with metadata.

Quality Assessment

Checking for missing values, inconsistencies, outliers, and schema compliance.

Initial Exploration

Exploratory analysis to gain insights into patterns and distributions.

Data Provision

Designing secure, reproducible access pathways.

Typical Deliverables

Overview of relevant data sources
Data quality report
Initial exploratory analysis
Data provision recommendations
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