Data Science For the C-Suite ($14,500)

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'transform this' Private Workshops are highly engaging and cross-functional forums for your teams. These proprietary workshops align your cross-functional teams with business, technology, and data strategy at an enterprise-wide scale. The result is long-term positive ROI for the entire business. Workshop Overview: Intuition no longer serves the C-Suite in the post-pandemic world. As many C-Suite leaders begin using data to make key business decisions, data science has become an important field. Successful post-pandemic transformation and disruptive innovation initiatives are predicated upon alignment between the C-Suite leadership and data science teams. Key Takeaways: ‘Data Science For The C-Suite’ is a ‘transform this’ exclusive workshop. This hands-on session will help C-Suite leaders and data science teams align goals and expectations. The end result is an effective collaboration, with a long-term positive ROI for the business. A ‘transform this’ certificate of completion will be provided. Key discussion areas include: 1) What type of data will help CxOs now? 2) How can data scientists provide these insights? 3) Other technology and socio-economic, ethical and leadership trends that are impacting data scientists now. Who Will Benefit: 1) Board leaders defining the post-pandemic business model 2) C-level leaders owning the transformation and innovation strategies 3) VP & Director leaders owning the planning efforts 4) Data teams supporting data-driven decisions Workshop Host: Gunjan Syal is Data-Driven Chief Strategy Officer at GoEmerald. She innovates businesses and ecosystems in a way that the results are visible, measurable and repeatable. She enables businesses as a fractional CSO, CPO, COO and a board member. She has led innovation initiatives for 38+ US & Canadian businesses in 10 industries. She advocates for responsible innovation at a global scale. She is also a plant hoarder (55+ indoor potted plants) and an astronomy geek (aka, stalks JWST every chance she gets).

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