Asure Uses Data Science to Find Its Perfect Customer with Domo
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Domo Data Science Suite
Tech Stack
- Salesforce
- DealHub
- NetSuite
- Concur
- Rockettrip
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Revenue Growth
Technology Category
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Software
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
About The 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.
The 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.
The 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.
Operational Impact
Quantitative Benefit
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