How often do you face resistance from business staff and end users when it comes to data and analytics? Many data science leaders say a lot of their most important work starts well before model development begins; because while there may be a lot of excitement for data science there’s also a lot of skepticism from business and end users.
It’s not surprising for business leaders to question the value of a model-driven, the accuracy of model outputs, or even the applicability of data science recommendations. After all, often their in-depth industry knowledge and close customer relationships, honed from years in the trenches, have successfully guided their companies’ past growth. Organizational silos and traditional performance measurement systems regularly complicate matters by placing a business team’s spotlight on short-term goals ahead of longer-term opportunities.
When your data science teams share new opportunities and ideas with business teams do they hear comments like:
If the answer is yes, consider attending Eric Huls’ Rev 2 presentation in New York next week. Eric, chief data and analytics officer at Allstate, one of the largest U.S. insurers, will be digging into the topic of change and sharing his team’s strategies for shifting company culture to embrace models throughout all aspects of their business.
Eric has a great perspective on the issue, especially when it comes to driving innovation in large and conservative companies (which are arguably among the most challenging of landscapes when it comes to end user resistance). When Eric joined Allstate 19 years ago as an actuarial pricing analyst, the company used analytics primarily to predict risk and inform rates. Now, nearly two decades later, Eric leads a team of more than 300 people, building data and analytics solutions to create millions of targeted digital media impressions, process tens of thousands of claims, produce tens of thousands of quotes and predict thousands of decision-making actions throughout every part of the organization, from products, sales, operations, marketing, and claims.
How did Eric achieve his success? Join us at Rev 2 on Thursday, May 23 in New York to hear Eric speak.
If you haven’t signed up for Rev 2 yet, there’s still time. Register here, and use code CB_Rev200 for a special discount.
This year’s conference, which will be May 23-24 in New York, features more than 60 industry leaders sharing insights into the biggest challenges in data science today—from scaling models and building model-driven cultures to ensuring responsible AI, with sessions customized for both practitioners and leaders. You can see the full agenda here and don’t forget to use code CB_Rev200 for a discount when you register.