Automate Grouped Sequential Numbering

Problem Context

Data analysts need to move workflows from Alteryx to Tableau Prep but struggle with a key step: numbering rows sequentially within each group of identical values (e.g., restart numbering when a key changes). This is critical for data prep but has no native solution in Tableau Prep.

Pain Points

Users waste hours studying logic, trying failed manual workarounds (e.g., Excel formulas), and consulting forums/ChatGPT. They lack a simple way to reference the previous row or restart numbering automatically when the key changes. The technical barrier blocks workflow migration.

Impact

Delays data projects, increases costs (consultants/training), and risks errors in analytics. For example, a missed numbering rule could break a dashboard used for $10k+ decisions. Frustration leads to avoidance of Tableau Prep entirely.

Urgency

This is a blocking issue for analysts migrating workflows. Without a solution, they either abandon Tableau Prep or spend days reinventing the wheel. The problem recurs with every new dataset, making it a chronic pain point.

Target Audience

Data analysts, ETL engineers, and business intelligence teams using Tableau Prep, Alteryx, or Power Query. Also affects freelancers and small teams without dedicated data engineers to solve this manually.

Solution Approach

A web app that lets users upload a dataset (CSV/Excel) and automatically apply 'grouped sequential numbering'—restarting the count whenever a key column changes. No coding required. Users select the key column and output column, then download the processed data ready for Tableau Prep.

Key Features

1. One-click numbering: Users select the 'group key' (e.g., IRT NPI) and output column, then generate numbered rows instantly.
2. Preview mode: Shows before/after results to verify correctness.
3. Template library: Pre-built examples for common use cases (e.g., 'Restart count per customer ID').

User Experience

Users upload their dataset, select the column to group by (e.g., 'IRT NPI') and the column for numbering, then click 'Generate'. The app processes the data in seconds and shows a preview. They download the file and import it into Tableau Prep—no coding or manual formulas needed.

Differentiation

Unlike Tableau Prep’s native tools (which require complex calculations) or manual workarounds (Excel/ChatGPT), this solves the problem in 30 seconds. It’s also cheaper than hiring a consultant ($50–$100/mo vs. $100+/hour). The proprietary logic handles edge cases (e.g., empty groups) automatically.

Scalability

Starts with Tableau Prep/Alteryx users, then expands to Power Query, Python (Pandas), and R users. Add-ons like API access for enterprise teams or batch processing for large datasets. Pricing scales with usage (e.g., $29/mo for 10 datasets, $99/mo for unlimited).

Expected Impact

Saves 5+ hours per week per user on manual workarounds. Restores broken workflows immediately, enabling faster data projects. Reduces reliance on consultants and reduces errors in analytics. For teams, it standardizes numbering logic across projects.