From inspirational keynotes to leadership roundtables, DataIQ events provide platforms for learning, sharing knowledge and connecting with your peers. Member events are only accessible to those who are active members of DataIQLeaders.
Join us for the second part of this workshop which builds on the narrative structure developed in the ‘Intro’ course, and transforms it into a clear storyboard for your reporting and a compelling hook to drive audience engagement.
Find out how to motivate individuals to take action, how to influence stakeholder intentions and deliver inspiring workshops and meetings. Learn how to generate on-going traction with business partners by creating specific and time-sensitive actions.
Understand how to maximise your business partnering opportunities, learn the complex relationship skills required to help make meaningful connections, build value and proactively promote your data function to the wider business.
Join us for a virtual learning experience to transform open, vague, and prescriptive requests into powerful questions that will improve the focus of the project and produce compelling and actionable insights.
Identify commercially relevant and engaging messages from complex data sets using proven creative techniques to connect your audience with the message, so you are consistently delivering story-led reports and presentations.
How do you ensure your data office is part of the corporate spine? What measures can you put in place to ensure you are permanently embedded into the org structure and not just viewed as a cost centre?
The pathway from being data-driven towards becoming data native crosses many obstacles, from ensuring the data foundations are in place through transforming the internal culture to identifying where value is being created.
Should the CDO of the 2020s still be a skilled practitioner, or does the focus need to move towards managerial and leadership skills? How should the industry make this role visible as part of a career path?
How do you keep ahead of the curve when making data technology decisions? What are the implications on your business when resources are directed primarily towards solving legacy issues? What are the latest trends in software vendor propositions?