Turning Data Into
Business Decisions

The client had no visibility into their monthly sales performance across rooms, food and drinks categories. Decisions were being made on intuition, not data, leading to overstocking and missed revenue opportunities.

Audited all existing data sources, built a centralized database on Airtable to consolidate sales records, and designed a real-time Looker dashboard tracking revenue, service performance, and seasonal trends.

The client identified their best-seller category within the first month, reduced reporting time from 3 days to under 30 minutes, and made their first data-driven restocking decision within weeks.

A growing book publishing company was managing finances across multiple spreadsheets, resulting in errors, duplicated data, and a month-end close process that took over a week and drained the team.

Reconstructed the spreadsheet connecting all financial inputs into a single source of truth, automated recurring reports, and built an executive dashboard for real-time profit and loss visibility.

Month-end close dropped from 8 days to 3 days. Leadership gained instant access to financial KPIs for the first time, enabling faster decisions and early identification of cash flow risks.

The brand was spending heavily on customer acquisition but had no data on who their best customers were, why they returned, or which products drove the most lifetime value.

Conducted a full customer data audit, built a segmentation model using purchase history, identified high-value customer profiles, and created a data strategy roadmap for targeted retention campaigns.

The brand shifted marketing budget toward their top two customer segments, saw a 35% improvement in repeat purchases within 90 days, and reduced wasted ad spend by clearly defining who not to target.