Lighten the Load of Data Scientists & Empower Analysts

“I’ll never find enough data scientists or have enough budget to hire enough people to quell the demand that we have and so thinking more and more about opportunities to create, through technology augmentation, that would allow other folks in the organization to do more inferential and data science work on their own.” – Jon Francis, the Global Head of Analytics at PayPal and former Chief Digital and Chief Analytics Officer at Starbucks.

The Demand for Machine Learning & Data Scientists

Interest in machine learning has exploded over the past few years across all areas of business. AI can detect patterns in data that humans may miss, highlighting revenue-driving insights for companies. The problem was the demand of data scientists, who have a specialized background in mathematics and programming, wasn’t matching the supply. According to Forbes, 81% of data science and analysts teams were planning to hire in Q3/Q4 of 2021, but the supply of those has remained steady or even reduced.

Another challenge was that it often takes months for a data scientist to build one model, and during that time, project requirements and data can change, causing further delays. These reasons and issues are why leaders like Mr. Francis are looking for solutions to make data science more accessible to the broader teams. 

No-Code Automated Machine Learning

No-code AI technology is the solution that allows analysts and analytically inclined business users to become their own data scientists and run projects in just clicks. Squark’s solution connects to the data sources via intelligent connectors or our advanced API. The results get displayed in easy-to-read tables with supplemental explainable AI reports for further understanding and analysis. The business user has everything they need to action the learnings.

Data Scientists and Citizen Data Scientists

There will always be a need for data scientists, but we can help lighten their workload by enabling and powering analysts and other team members to run their own data projects. Squark’s technology allows them to focus on the high-value, complicated projects that cross departments and data sources while empowering others (the citizen data scientists) to run the more low-hanging projects and start moving the needle. Using Squark citizen data scientists and forecast what email offer is best to send each customer who is at risk of churning or a likely to have a high CLTV. All efforts drive the business forward. 

Ready to learn more about bringing data science to the broader team and clear the backlog of projects? Let’s talk.