Strong Blog

Read our thoughts on data science, machine learning, predictive models, and optimization.


Open Role: Data Scientist

Dec 1st, 2017 by Brock

Strong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building and validating statistical models, and helping our clients discover value in their data.

Continue reading »

 


 

How can Deep Learning Help Your SaaS Business?

Apr 20th, 2017 by Jacob

It's easy to see how deep learning is a powerful tool for companies like Google, Twitter, Facebook, and Amazon. In this post, I review several ways that deep learning can have immense value for smaller SaaS companies. The same technology that powers self-driving cars can even help you win new customers, make recommendations, and decrease churn.

Continue reading »

 


 

Predictive Model ROI ($) Calculator

Mar 15th, 2017 by Brock

Understanding the value that a predictive model can add to your business is often challenging. We wanted to make things simpler by building a free tool to calculate the ROI ($) of your predictive model based on its performance, number of possible events, baseline rate of events, and profits/costs of your intervention.

Continue reading »

 


 

 


 

Introducing Optimail: Email Marketing powered by Artificial Intelligence

Sep 18th, 2016 by Brock

Optimail offers its users the opportunity to continuously and automatically optimize their email campaigns using artificial intelligence. Marketers can simply draft the emails they want to send (or many versions thereof), define the goals they want these emails to achieve, then sit back and watch as Optimail learns the strategy that drives customers most effectively toward those goals.

Continue reading »

 


 

 


 

 


 

 


 

Is Data Science only Useful for Organizations with 'Big Data'?

May 3rd, 2016 by Brock

Some think that making data-driven decisions requires 'big data,' leaving smaller organizations out of the recent data science movement. I argue to the contrary that thinking about data science early on can not only prepare your organization for future growth, but offer insights even from the small data you have now.

Continue reading »