Data layers
Collection and ingestion
Capturing data from various sources, ensuring a comprehensive and diverse dataset. This process sets the stage for the subsequent data layers.
Storage and transformation
Managing the vast volumes of collected data while optimizing its structure and format. This layer ensures data integrity, accessibility, and scalability by creating a single source of truth.
Insights and analytics
Leveraging machine learning and data visualization to extract meaningful patterns, trends, and actionable insights. This layer drives informed decisions and unlocks opportunities for growth.
A few stories
Automating insights
Building an automated, full stack data solution that collects survey responses from TypeForm, stores the responses in a centralized warehouse, processes the data, and updates visualizations in a web app.
Customer personas
Applying the RFMT (Recency, Frequency, Monetary value, and Tenure) method to segment customers based on their purchase behavior to develop relatable personas.