Part 6/12:

Approaches to Humanizing Data

The speaker emphasized several methodologies and technologies essential to humanizing big data:

1. Data Collection and Processing

• Gathering data from diverse sources—real-time streams, batch uploads, APIs.

• Employing robust data architecture, such as lambda architecture, to manage both batch and real-time data.

2. Visualization and Storytelling

• Using dashboards, infographics, and visual tools to make data accessible.

• Creating narratives and context that explain why data matters.

3. Personalization and Predictive Analytics

• Developing personas for targeted insights (e.g., retail customers, corporate clients, branch staff).