Dropbox | TextQL

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Dropbox FP&A cuts 1,600 hours annually with TextQL

"We looked at a number of different solutions. We found TextQL to be the best."

Adam Richter, Director of Revenue

400 hrs

of manual time-savings per quarter

140x

Delivery speed per question

98.8%

Reduction in dashboard build time

About Dropbox

A software company offering cloud file-sharing services and collaboration tools with over 700 million users.

Industry

Software services

Company Size

~2,200 employees

Headquarters

San Francisco

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Challenge

Dropbox's FP&A team handles millions of transactions for high-stakes reporting with workflows fragmented across disparate tools — Databricks, Tableau, and Oracle. The FP&A team was hampered by time-consuming, manual SQL querying to explain patterns or anomalies about financial data and KPIs.

Solution

Multi-Source Agentic Execution with TextQL

TextQL connected our AI agent, Ana, to Dropbox's financial systems of record. This gave the team the ability to analyze data across databases, payment systems, and usage metrics. For finance professionals like Adam, his FP&A team can perform complex financial analyses that took months to complete – now in mere days.

"We've never had a full look at our P&L until leveraging TextQL's multi-source capabilities."

James Rooney, AI & Analytics Lead

Impact

More clarity, more confidence, in less time.

Multi-Tool Integration Analyses per Month

*Real data

400 hrs

of manual time-savings per quarter

140x

Delivery speed per question

98.8%

Reduction in dashboard build time

Dropbox connected Ana with their FP&A team's data tools in Databricks, Tableau, and Oracle and is broadening TextQL adoption to include teams in data science, accounting, and product management.

Automated business reporting

Ana delivers weekly automated breakdowns on customer retention, churn, and revenue forecasting. These reports include long-term profitability analysis, SKU analytics for subscription and product usage, source analysis for website and mobile users, and free trial conversion rates.

Dashboards in minutes versus days

Any member of the FP&A team can create a fully functional dashboard within 15-30 minutes – a process that previously took a week of back-and-forth with the Tableau team.

Off-the-cuff analytics questions

Ana provides on-demand responses to data exploration, prediction, and root cause analysis inquiries – including ad hoc requests from the Dropbox CEO and CFO.

"When I take a number, I feel confident that I can bring it in front of a CFO and know it's been vetted by TextQL."

Adam Richter, Director of Revenue