Case Studies HomeToGo speeds up manual data investigation by up to 80% with Sisu

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	HomeToGo speeds up manual data investigation by up to 80% with Sisu

HomeToGo speeds up manual data investigation by up to 80% with Sisu

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries	E-Commerce Software
Applicable Functions	Business Operation Sales & Marketing
Services	System Integration Training
Challenge	HomeToGo’s Data & Analytics team faced challenges in reducing time spent on manual analysis, accelerating KPI investigation, increasing A/B testing, and promoting self-service and data engagement across the business. As the business and data continued to grow, it became clear that business intelligence alone wasn’t enough to scale the questions of the business. The team sometimes dedicated over a week’s worth of manual analysis to diagnose key business metric declines, which was not scalable. They needed a better, faster way to perform analysis, speed up data exploration, and surface more actionable insights while providing more business user engagement than static BI reports alone. Read More
About Customer	HomeToGo is a marketplace with the world’s largest selection of vacation rentals, listing millions of offers from thousands of trusted partners to deliver the perfect accommodation and great memories. The Data & Analytics team at HomeToGo aims to deliver greater value from data by scaling access and making data more usable without creating an 'army of analysts' to answer the company's growing, yet critical, questions. They focus on tools and processes geared towards flexibility and self-service to help teams answer their own questions and drive work independently. Read More
Solution	HomeToGo decided to evaluate Sisu’s Decision Intelligence Engine to augment their existing BI workflow. They were particularly drawn to Sisu’s scalability, ability to reduce time spent on manual analysis, and intuitive UI for self-service analysis. Athene Cook, Senior Data Analyst at HomeToGo, led a backtesting approach to measure how much faster Sisu could diagnose the cause of previous issues. The evaluation showed that Sisu could highlight the facts and key drivers up to 80% faster than before. After deciding to move forward with Sisu, the Data & Analytics team took a thoughtful approach to train employees across the organization, fostering a self-service data culture. This included hosting company-wide training, creating recordings for employees and new hires, conducting deep-dive training for power users, and building open lines of communication for support. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Functional Applications - Enterprise Resource Planning Systems (ERP)

Applicable Industries

E-Commerce

Software

Applicable Functions

Business Operation

Sales & Marketing

Services

System Integration

Training

Challenge

HomeToGo’s Data & Analytics team faced challenges in reducing time spent on manual analysis, accelerating KPI investigation, increasing A/B testing, and promoting self-service and data engagement across the business. As the business and data continued to grow, it became clear that business intelligence alone wasn’t enough to scale the questions of the business. The team sometimes dedicated over a week’s worth of manual analysis to diagnose key business metric declines, which was not scalable. They needed a better, faster way to perform analysis, speed up data exploration, and surface more actionable insights while providing more business user engagement than static BI reports alone.

About Customer

HomeToGo is a marketplace with the world’s largest selection of vacation rentals, listing millions of offers from thousands of trusted partners to deliver the perfect accommodation and great memories. The Data & Analytics team at HomeToGo aims to deliver greater value from data by scaling access and making data more usable without creating an 'army of analysts' to answer the company's growing, yet critical, questions. They focus on tools and processes geared towards flexibility and self-service to help teams answer their own questions and drive work independently.

Solution

HomeToGo decided to evaluate Sisu’s Decision Intelligence Engine to augment their existing BI workflow. They were particularly drawn to Sisu’s scalability, ability to reduce time spent on manual analysis, and intuitive UI for self-service analysis. Athene Cook, Senior Data Analyst at HomeToGo, led a backtesting approach to measure how much faster Sisu could diagnose the cause of previous issues. The evaluation showed that Sisu could highlight the facts and key drivers up to 80% faster than before. After deciding to move forward with Sisu, the Data & Analytics team took a thoughtful approach to train employees across the organization, fostering a self-service data culture. This included hosting company-wide training, creating recordings for employees and new hires, conducting deep-dive training for power users, and building open lines of communication for support.

Impact #1	The HomeToGo Marketing team regularly uses Sisu to analyze and optimize performance, especially during busy seasons to keep tabs on traffic development and guide stakeholders on where to lean in and pull back for the highest ROI.
Impact #2	The Product team uses Sisu’s group comparison functionality to evaluate A/B tests and enhance performance on the site. For example, Sisu helped uncover unintended friction in an autocomplete website form flow, enabling quick problem-solving.
Impact #3	Sisu has helped the Data & Analytics team scale their time, focus on strategic initiatives, and make the best use of their modern data stack. The team benefited from a programmatic solution provided by Sisu’s Engineering team during their data warehouse migration to Snowflake.

Impact #1

The HomeToGo Marketing team regularly uses Sisu to analyze and optimize performance, especially during busy seasons to keep tabs on traffic development and guide stakeholders on where to lean in and pull back for the highest ROI.

Impact #2

The Product team uses Sisu’s group comparison functionality to evaluate A/B tests and enhance performance on the site. For example, Sisu helped uncover unintended friction in an autocomplete website form flow, enabling quick problem-solving.

Impact #3

Sisu has helped the Data & Analytics team scale their time, focus on strategic initiatives, and make the best use of their modern data stack. The team benefited from a programmatic solution provided by Sisu’s Engineering team during their data warehouse migration to Snowflake.

Benefit #1	Sisu enabled HomeToGo to diagnose key business metric declines up to 80% faster than before.

Benefit #1

Sisu enabled HomeToGo to diagnose key business metric declines up to 80% faster than before.

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Overview

HomeToGo speeds up manual data investigation by up to 80% with Sisu

Operational Impact

Quantitative Benefit