Project overview
- Organisation
- Burda Luxury
- Role
- Analytics Lead
- Period
- Jul 2023 - Jul 2024
LLM-assisted Reporting Automation
AI-enabled workflow automation for recurring reporting, with human validation and analytical governance, that reduced recurring reporting effort by approximately 30% and cut turnaround from up to a week to hours after source refresh.
~30%reduction in recurring reporting effort
Context
Recurring reporting consumed analyst time every cycle and could take up to a week to turn around after source data refreshed, delaying decisions that depended on it.
My Role
As Analytics Lead I introduced LLM-assisted automation into the recurring reporting workflow, positioned as AI-enabled workflow automation with human validation and analytical governance rather than unattended generation.
Approach
- Automate the repeatable parts of recurring reporting with LLM assistance.
- Keep analysts in the loop to validate outputs before they reach stakeholders.
- Anchor automated outputs on governed metric definitions so automation does not erode consistency.
Business Impact
- Approximately 30% reduction in recurring reporting effort.
- Turnaround reduced from up to a week to hours after source refresh.
Related work
- Burda Luxury, Asia Pacific
AI-enabled Analytics Agent
Conversational analytics built on governed semantic APIs and production workflows.
Read case study - Burda Luxury, Asia Pacific
Executive Daily Intelligence
A 13-section executive intelligence product backed by a prioritised 16-item engineering backlog.
Read case study - Burda Luxury
Shopify Reconciliation Framework
Reconciling Shopify source data to executive reports across timing, metric definition, date anchor and attribution.
View project