Category: tech

Data-Ink Ratio: Designing Charts Where Most Ink Communicates Data

A chart is supposed to help people understand data faster than they could from a table. Yet many visuals do the opposite. Heavy gridlines, decorative icons, unnecessary 3D effects, and repeated labels can distract the reader from the actual message. The idea of data-ink ratio, popularised in discussions around effective data visualisation, addresses this problem […]

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The Future of Data Science Teams: Hybrid Roles and AI Co-Pilots

Data science teams are changing fast. A few years ago, many organisations expected one “data scientist” to handle everything: data cleaning, modelling, dashboards, deployment, and stakeholder updates. That approach rarely scales. Today, teams are being shaped around business outcomes, reliable data pipelines, and faster iteration cycles. At the same time, AI co-pilots are becoming practical […]

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API Composition Patterns: Aggregating Data from Multiple Services for Unified Client Responses

Modern applications rarely rely on a single backend service to fulfil client requests. Instead, they are built as collections of specialised services, each responsible for a specific domain such as user profiles, payments, notifications, or analytics. While this approach improves scalability and maintainability, it also introduces complexity for client applications that need data from multiple […]

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