ThoughtSpot for Financial Services
risk, performance, and customer data to make better decisions, or embed AI analytics into your own financial products.
share the insights you need to drive revenue, profit, and customer retention.
Quickly analyze data across internal and external sources using natural language search and conversational AI.
Get data your way—whether you want to view insights on Liveboards or build financial models in Analyst Studio.
Trigger automated workflows to approve loan applications, upsell high-intent customers, and flag transactions.
Drive decision-making with Spotter, ThoughtSpot’s AI analyst. Just ask a question in the search bar to analyze billions of rows of data from any source, from historical customer transactions to real-time market activity.
TRY SPOTTERLearn what customers want and deliver it through personalized offerings, using AI insights on customer behavior, sentiment, and preferences across every channel. Offer better rates and terms, find upsell and referral opportunities, and optimize pricing for maximum retention.
Use AI to detect anomalies, potential fraud, and risk exposure in real time. With ThoughtSpot’s AI Analyst, you can build autonomous workflows that alert the right people, flag customer activity and transactions for review, and send automated denials when lending or investment risk exceeds your threshold.
With ThoughtSpot, financial institutions can automate regulatory reporting, track compliance metrics, and ensure governance with AI-driven insights.
Give customers and partners self-service analytics in the products they love. Embed live, dynamic dashboards into fintech apps, and tailor ThoughSpot’s AI agent to your brand.

“With ThoughtSpot, we’ve accomplished our goal of getting data into the hands of our customers more easily. That’s a really big win for us.”
share the insights you need to drive revenue, profit, and customer retention.
Optimize loan, credit, and claims decision-making with AI applicant and market insights. Auto-flag discrepancies for human review.
Analyze transaction and customer data to identify growth opportunities. Build trust by letting customers visually explore spending, investments, and other activity.
Access securities and financial market data sources with ThoughtSpot, connect your own data, and make profitable investments.
Your data, your rules. Use natural language search or run ad-hoc analysis and fine-tune financial models within your analytics workflow—using SQL, R, or Python in Analyst Studio.
Financial analytics are the result of aggregating and examining your business's financial, operational, and customer data to understand performance, profitability, and risk. A modern financial analytics platform can connect to hundreds of internal and third-party data sources and systems, processing data through advanced business logic and machine learning models to support financial decision-making.
Financial services professionals from banks, investment firms, and fintech platforms use AI-powered financial analytics to budget, forecast, and manage risk more accurately. They also rely on financial services analytics to explore real-time and predictive insights into customer needs, using it to improve the customer experience in their apps, via email and phone, and in person.
Financial analytics help investment banks, fintech companies, and other financial services providers gain insights into how to expand their business and make it more profitable.
An enterprise-grade analytics platform connects data from CRM and ERP systems, popular business applications, and external data sources using out-of-the-box tools for data integration, giving business users full visibility into the metrics they care about and allowing them to make data-driven decisions confidently.
Today’s best financial analytics software includes features that make it fit for highly regulated industries, large transaction volumes, and sophisticated AI-driven workflows.
An important feature to look for is self-service analytics, something that allows business users to explore data without needing to know SQL or other analyst skill sets. Self-service analytics often look like dynamic clickable dashboards and data visualizations that users can drill into without any help from the data team.
The most valuable financial analytics software technologies incorporate artificial intelligence throughout the platform, including agentic AI and natural language search that lets users ask questions of their data the same way they might using Google.
AI-powered financial analytics can be used to detect anomalies and potential churn, automate data management workflows, and deliver predictive analytics that help with budgeting, forecasting, and pricing optimization.
ThoughtSpot enables all of this and more, driving profitability and efficiency across countless use cases. Users can quickly analyze and extract insights from even the largest datasets, all without needing a technical background. They can even collaborate on their findings with other teammates, sharing the answers their questions have generated and using them to take swift, collective action.
ThoughtSpot can connect to multiple streaming and event-based data sources to help you make financial decisions based on live market data.
No. Unlike other products, our pricing model uniquely lets an unlimited number of users access ThoughtSpot.
You are billed a flat $95 monthly fee for Team Edition. There is no annual subscription option for Team Edition. Other ThoughtSpot product editions are licensed via annual contracts.
Contact us and tell us what you need and we can help you find the right solution.