Noa began her career in tech over 10 years ago, from managing communities at scale through development of social platforms to managing systems and data teams. Noa's expertise is in CX and Systems management with focus on change management, applications, and data ecosystems. Beginning her career at SAP's Marketing organization, she went on to join startups and established companies helping drive functional growth and supporting effective decision making driven by analytics. In 2023, Noa joined LinkedIn's Central Operations Organization leading the Strategic Insights Decision Science team. She and her team power Central Operations initiatives across multiple lines of business, unlocking business growth and cost savings from internal data by designing and executing strategic analyses, measuring impact, and enabling business leaders to integrate key findings into business-critical systems and process. Taking an integrated approach to her work enables her to combine seemingly incompatible ideas to fuel innovation. Noa is a Global Citizen, speaking multiple languages, and enjoying the NYC rhythm for the past 10 years. Connect with Noa on LinkedIn: https://www.linkedin.com/in/noaumansky/
Organizations continue to struggle to become data-driven, with only 26.5% reporting they have achieved this goal, and only 19.3% reporting having established a data culture.
When combined with the reality of the growing technical skills gap, automation is one of the best answers for solving this problem and analysing data at scale. Decision intelligence democratizes analytics for every user, making it possible for both analysts and business users to tap into the data lake. In this session, we’ll be joined by, Michelle Robbins, Decision Science Leader, LinkedIn who will address: