What you’ll learn
- Standardise, cleanse, and align multi-source vendor or sales datasets using AI-assisted scripts and tools.
- Generate automated weekly and monthly narrative performance reports from tabular raw data.
- Create non-destructive automated reporting pipelines that reduce report production cycle times by 70%.
How the course runs
Before the session
Pre-session prep · about 30 minutes
Source an unformatted, multi-file monthly operational reporting package.
Live session
Instructor-led · 2 hours
2-hour operational analytics lab focused on script generation and report drafting.
After the session
Practice & reinforcement
Execute Tuesday Spreadsheet Cleanup routines across all department reporting files.
Course modules
Data Harmonisation
Aligning inconsistent data schemas, currency formats, and text fields across vendor tables.
Automated Insight Extraction
Instructing AI models to identify variances, outliers, and trend anomalies.
Narrative Generation
Converting spreadsheet data tables into clear executive narratives and bulleted summaries.
Audit & Quality Control
Ensuring visual outputs and text summaries accurately reflect underlying data tables.
What you’ll take away
Deliverable: An Automated Spreadsheet Cleaning Protocol and Monthly Reporting Output Template.
How your learning is checked: Audit of report accuracy, formatting alignment, and data consistency against source tables.