Christopher Blakey Full Stack Engineer
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Product case study / AI / Analytics

TelliusAI-assisted business analysis

Explore business data and investigate trends with an AI-assisted analytics interface.

Business analyticsAI workersData exploration

Relevant technical skills

  • SQL
  • API integration
  • Data modeling
  • ETL pipelines
  • Data visualization
  • Event processing
  • Data validation
  • Automated testing

These skills describe a proposed engineering approach. They are not a verified list of the company’s internal technologies.

01 / The problem

Context

Tellius addresses a connected operational workflow: business data exploration and analysis through an AI interface. Teams using this type of platform need consistent context as information moves between systems and people.

02 / The experience

A connected product workflow

This product study focuses on the path from connect data to review insight. The central interface challenge is making the next action understandable while preserving the state and evidence behind it.

  1. 01Connect data
  2. 02Ask question
  3. 03Explore evidence
  4. 04Review insight

03 / Technical perspective

Engineering approach

A proposed analytics interface should expose metric definitions and source context alongside an answer. Scope data access to the requesting user before analysis starts.

This section outlines a proposed approach, rather than the company’s verified internal implementation.

04 / Reliability

Testing priorities

Check ambiguous business terms, missing data, inconsistent dimensions, and unsupported conclusions. Compare numerical answers with a trusted reference query.

05 / Source & attribution

Explore the product

This independent study is based on the company’s public website. The gallery contains imagery sourced from the company’s official website and public product resources. Images belong to their respective owners. This study does not claim a personal role in building the product.

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