We are so thrilled that you are speaking at FEI 2024, with the session, “Test & Learn for Data-Driven Decision-Making.” It’s a session I knew we had to have on the agenda. Can you please share what attendees can expect?
“First of all, thanks everyone for thinking about coming to Boston. It’s going to be a beautiful, wonderful three-day event. I heard about the agenda. It’s very well organized,” says Huang. “I am excited to share with you from my experience working at large corporations like PayPal, GE, Kraft Heinz, and then also as a chief data officer at a start-up, how it seems so important to test and learn along the way by using experiments to learn with more data and analytics, then make a decision.”
Huang continues, “One of the examples I will cover is a hot topic around return to office. I happen to have the joy of leading people analytics at the time, in fact, at two companies, and we were able to use the test and learn approach to create a policy that addressed employees’ concerns. I’ve also had the joy of building analytics teams from the ground up where we got to make the build versus buy decision on software versus in-house. And I can tell you all about the tradeoffs because I’ve been there. And in fact, I’ve done both bill and buy. So you’ll have to come to my session to find out which one worked. See you there!”
Attend FEI 2024
Looking forward to FEI 2024? The conference, which will be held June 10 to 12, will feature a session called, “Test & Learn for Data Driven Decision-Making,” presented by Serena Huang, Founder of Data With Serena and former Chief Data Officer at Abe.work. This session will entail themes such as knowing that time is wasted at large companies which gets in the way of innovation; understanding that startups simply move more quickly; providing context through data and finding ways to fail fast; ensuring feedback tools are scalable; taking risk internally when it comes to asking for investment needed for experimentation (ie., buy vs. build); and realizing when it comes to talent, RTO offers a perfect testing opportunity. Register for FEI 2024 here.
More Innovation Resources
Providing a Data-Driven Foundation to Innovation
Analytics continues to be an important element in innovation. Taking an analytical approach helps companies continually learn about their processes, models, and systems. This will help the company improve their innovation framework over time. “By implementing analytically driven insight, monitoring analytically modeled outcomes, and improving those models over time, an organization will continue to learn,” notes SAS. This learning will translate into successful innovation.
Finding Best Practices for Data Management
Data management is critical in today’s innovation and overall business environment. This ensures that data is collected, cleansed, analyzed and stored properly, and compliantly. Sound data management practices also lead to generating valuable business insights, leveraging data to make decisions and to identify and use actionable data. Proper data management also ultimately leads to business improvements, efficiencies and cost savings.
