Domo Case Studies Asure Uses Data Science to Find Its Perfect Customer with Domo

Edit This Case Study Record

	Asure Uses Data Science to Find Its Perfect Customer with Domo Domo

Asure Uses Data Science to Find Its Perfect Customer with Domo

Domo

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Software
Applicable Functions	Sales & Marketing
Use Cases	Predictive Quality Analytics
Services	Data Science Services
Challenge	Asure Software, a provider of Human Capital Management (HCM) software for small businesses, wanted to enhance its data science capabilities to better understand its customer health, improve forecast accuracy, and identify and convert prospects more effectively. The company aimed to gain a holistic, 360° view of each customer to reduce churn. However, the company faced challenges in managing and integrating data from various sources, including its CRM Salesforce, DealHub for quote creation, its Deal Software Integration platform for integrating transactions into their ERP NetSuite, Concur for expenses, Rockettrip for gamification of travel expenses, and an Excel-based corporate performance management tool. The company also used external data from Dun & Bradstreet, customer usage data, macroeconomic data, and customer sentiment data from social networks and Zendesk. Read More
About Customer	Asure Software provides Human Capital Management (HCM) software to more than 60,000 small business owners, helping them use data to drive growth. As a Domo customer, Asure embarked on its own data journey to develop its nascent data science capabilities. The company aimed to better understand its customer health by gaining a holistic, 360° view of each customer to reduce churn. It also wanted to improve its forecast accuracy and be able to better identify and convert prospects. The company tracks more than 400 data points per customer per month, adding up to about half a million records overall. Read More
Solution	Asure Software used Domo to create a master data set to power its data science efforts and meet its goals. The master data set included data from across its different systems and outside data sources. The company tracked more than 400 data points per customer per month, adding up to about half a million records overall. All of this data was integrated in Domo, and the process of moving data to Domo was efficient and cost-effective. Once the master data set was built, Asure worked with Domo to find the right approach for its goals and business. The Domo Data Science team took an in-depth look at Asure's data, the sources for the data, how the data was being used, and then made recommendations on which type of models should be used. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Software

Applicable Functions

Sales & Marketing

Use Cases

Predictive Quality Analytics

Services

Data Science Services

Challenge

Asure Software, a provider of Human Capital Management (HCM) software for small businesses, wanted to enhance its data science capabilities to better understand its customer health, improve forecast accuracy, and identify and convert prospects more effectively. The company aimed to gain a holistic, 360° view of each customer to reduce churn. However, the company faced challenges in managing and integrating data from various sources, including its CRM Salesforce, DealHub for quote creation, its Deal Software Integration platform for integrating transactions into their ERP NetSuite, Concur for expenses, Rockettrip for gamification of travel expenses, and an Excel-based corporate performance management tool. The company also used external data from Dun & Bradstreet, customer usage data, macroeconomic data, and customer sentiment data from social networks and Zendesk.

About Customer

Asure Software provides Human Capital Management (HCM) software to more than 60,000 small business owners, helping them use data to drive growth. As a Domo customer, Asure embarked on its own data journey to develop its nascent data science capabilities. The company aimed to better understand its customer health by gaining a holistic, 360° view of each customer to reduce churn. It also wanted to improve its forecast accuracy and be able to better identify and convert prospects. The company tracks more than 400 data points per customer per month, adding up to about half a million records overall.

Solution

Asure Software used Domo to create a master data set to power its data science efforts and meet its goals. The master data set included data from across its different systems and outside data sources. The company tracked more than 400 data points per customer per month, adding up to about half a million records overall. All of this data was integrated in Domo, and the process of moving data to Domo was efficient and cost-effective. Once the master data set was built, Asure worked with Domo to find the right approach for its goals and business. The Domo Data Science team took an in-depth look at Asure's data, the sources for the data, how the data was being used, and then made recommendations on which type of models should be used.

Impact #1	Asure Software now has a thorough understanding of their data related to customer churn, including where important data are missing, how data classification has been managed in the past and needs to be managed in the future to support data science efforts, and how columns of data fit together to inform patterns in customer churn.
Impact #2	The company has been able to build ideal customer profiles that allow it to highly target prospects compared to its previous generic prospecting approach, giving it more qualified customers that are less likely to churn.
Impact #3	Asure keeps entering actual opportunity closed-won/closed-lost feedback into the theoretical model, improving it over time.

Impact #1

Asure Software now has a thorough understanding of their data related to customer churn, including where important data are missing, how data classification has been managed in the past and needs to be managed in the future to support data science efforts, and how columns of data fit together to inform patterns in customer churn.

Impact #2

The company has been able to build ideal customer profiles that allow it to highly target prospects compared to its previous generic prospecting approach, giving it more qualified customers that are less likely to churn.

Impact #3

Asure keeps entering actual opportunity closed-won/closed-lost feedback into the theoretical model, improving it over time.

Benefit #1	The company now tracks more than 400 data points per customer per month, adding up to about half a million records overall.
Benefit #2	The process of moving data to Domo takes less than an hour to process all that data through multiple steps.

Benefit #1

The company now tracks more than 400 data points per customer per month, adding up to about half a million records overall.

Benefit #2

The process of moving data to Domo takes less than an hour to process all that data through multiple steps.

Download PDF Version

Overview

Asure Uses Data Science to Find Its Perfect Customer with Domo

Operational Impact

Quantitative Benefit