The first data champion profile is that of “The Advocate.” Advocates are passionate about data and its potential to transform the organisation. They are vocal supporters of data-driven decision-making and promote the use of data within their departments or teams. They inspire colleagues to embrace data-driven approaches and convey the importance of data in achieving business goals.
How to spot an Advocate?
Advocates have strong communication skills, persuasive abilities, and a deep understanding of the benefits of data.
The second data champion profile is that of Translator.
Translators bridge the gap between technical data experts and non-technical colleagues. They have a knack for explaining how data can benefit different business areas. Translators help colleagues understand the value of data by presenting data insights in a way that resonates with their specific roles. They answer the question, “How can data benefit me?
How to spot a Translator?
Translators are effective communicators with the ability to simplify complex data concepts, and a solid grasp of both data and business operations.
The third data champion profile is The Storyteller.
Storytellers are adept at weaving narratives from data. They go beyond presenting reports and dashboards, creating compelling stories that convey the significance of data-driven insights and make data relatable and actionable.
How to spot a Storyteller?
Storytellers, naturally, have strong storytelling abilities, data interpretation skills, and creativity in presenting data-driven narratives.
The final data champion profile is The Promoter.
Promoters are data enthusiasts who actively champion data-related initiatives within the organisation. They often act as catalysts for the inception of business cases and the initiation of projects that harness the power of data to address specific organisational needs.
How to spot a Promoter?
Promoters are strategic thinkers, with a keen ability to identify data-driven opportunities. They have great project management skills and interpersonal relationships that they use to collaborate effectively with diverse teams to drive data-related projects forward.