Scaling Data Science Competency with the Team you Already Have
To grow smartly and efficiently, there are several areas that maximize your company’s AI potential. Train and upskill your analysts into citizen data scientists. Align your current people into their maximum potential, so you automate the repetitive parts of the data science process, reassign tasks so your business users are doing visualizations and prep work and not your data scientists. And prioritize your projects on those that have clear business value, are actionable, and have achievable results.
Megan has found citizen data scientists all over American Fidelity. “We found that there are a lot of them, in particular, in IT and other quantitative type departments like actuarial and finance. We also really found success in many different departments, such as HR, and even customer service. So, definitely don’t limit yourself in terms of where you’re looking for your citizen dat- data science. And focus more on the enthusiasm for data rather than just the skills.” She has put a data governance team and peer review process that focuses on data quality and access to ensure accuracy, completeness, and quality.
“We’ve been able to grow immensely and inject data science into so many aspects of our company. DataRobot just stood out so much in terms of the number of models it offered, and the pre-processing tools. And then, on the backend, the analytical tools, and the tools that helped you identify which models had the best performance, and all of that.”
If Megan’s Data Science group had to do all the projects by themselves that the company wanted done, “there would be a two year wait for projects.” By enabling citizen data scientists the entire company can get AI-driven models deployed much faster – often in only hours or days.
“We have transformed our business into one that is driven by data. We trained over 200 data scientists on DataRobot and put into production 100 dashboards and 30 machine learning models. These models have really transformed the business and helped decision-makers and executives change the way they do business. They’ve moved from having gut feeling to drive their decision-making to really using data in a transformative way.” – Megan Oftedal, Senior Data Scientist, American Fidelity.
DataRobot’s platform makes my work exciting, my job fun, and the results more accurate and timely – it’s almost like magic!
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.