Never stop asking why
Sisu is the fastest and most comprehensive way to understand why business metrics are changing.
Inform every business decision with data
Accelerate user acquisition
Continually assess marketing programs to find your best customers.
Increase revenue
Analyze millions of transactions with Sisu to find new paths to growth.
Optimize production costs
Use Sisu to find new paths to operational efficiency and reduced costs.
Improve customer engagement
Diagnose customer behavior, usage, and sentiment to maximize engagement.
Fast, comprehensive, continuous diagnosis
Connect to any cloud warehouse
Quickly connect Sisu to your enterprise data warehouse and start analyzing all the data you’ve already collected in Snowflake, BigQuery, or Redshift.
Examine every possible factor
Once connected, Sisu will rapidly analyze every customer segment and transaction to find what factors had the biggest impact on your top line.
Continuously monitor metrics
Growth is a complex equation and customer behavior can change without warning. As new transactions arrive, Sisu tirelessly analyzes your revenue data to help you understand where to focus next.
Get the facts
The facts Sisu finds in your data explain the changes you observe in your business metrics over time. For example, in a retail scenario, Sisu can help you understand which customer segments and behavior are impacting your AOV:
Customers between the age of 26 and 35 who are part of the Silver loyalty program are increasing their spend by 15% month-over-month. This is increasing total revenue by $372,031.
Putting data to work across enterprises
See how Samsung changed the trajectory of a billion-dollar product launch with Sisu.
“We couldn’t believe how quickly we found actionable facts in the data.”
Upwork found new customer segments and paths to growth in a marketplace of 5M companies and 12M freelancers.
Download case study
Mixt used Sisu to find ways to improve store operations by analyzing 150,000 hypotheses in seconds.
Download case study
"With Sisu, we can use all of the operational data we capture to diagnose changes in same-store sales and get regular updates on performance.”
Celia Stockwell
Director of Finance, Mixt
Find more answers. Ask more questions.
Proactive Analytics: Root-Cause Analysis vs. Outlier Detection
A look at the differences between root-cause analysis and outlier detection and how these tools can break the cycle of reactive analytics caused by dashboards and legacy BI tools.
Read more
451 Research: Sisu explains the ‘why’ behind changes to business metrics
You need fast answers about what’s happening in your business. Get a complimentary copy of 451 Research’s latest report on the opportunity to achieve immediate, detailed visibility into your data and critical KPIs.