Unlocking the Potential of People Analytics with Data


As we navigate through the 2020s, it is evident that the workforce has become a pivotal element of business decisions throughout every industry, especially after the changes and ramifications of COVID-19. With the growing reliance on people analytics, there has been a growing need for organizations to move beyond conventional data metrics to more advanced ones powered by data science that can intelligently shape business outcomes.

In this session, we will explore the nuances of analyzing diverse datasets to create a unified analytical construct that can address the ""Last Mile"" of people analytics. This critical step involves transforming isolated data silos into a cohesive, story-driven analytics mechanism that empowers decision-makers with insights into aspects like employee engagement, collaboration networks, skill inventories, and efficiency indicators. Data visualization and data analysis is key here as we move into the future of AI and data science.

We'll delve into how integrated data strategies and advanced analytical models can scale operations, enhance decision-making, and navigate the shift towards a strategic, data-centric people management landscape. Our talk emphasizes practical applications of people analytics, showcasing the transformation of workforce data into actionable intelligence for addressing key organizational challenges. We'll also discuss the importance of several DataOps strategies and developing database DevOps, which are crucial for enterprise advancement.


Christina is a Developer Experience Manager at Visier, a hackNY Fellow, a mentor at Girls Who Code, and the Co-Founder of HackDavis. She has previously worked in Developer Experience at Square and at Amazon and has been awarded with the F8 Scholarship by Facebook, Grace Hopper Scholar by Anita Borg Institute, and the Engineering Diversity Scholar by Box, among others. In the future, she plans on speaking at as many conferences as possible, and advocating for mental health in the tech field!

Open Data Science




Open Data Science
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Cambridge, MA 02142

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