Our team has identified improved storytelling as a development activity for the next year. Has anyone had success with specific training programs or styles teaching their team of data engineers storytelling concepts? Our team creates operational reporting and contributes data visualizations for public reports, increasing the storytelling elements in each of these services would increase the quality of our outputs. I also believe increased storytelling competency would improve our inter-departmental communications. We attend the Gartner Data and Analytics conference and have received good content in those sessions but I would like to take it to the next level. I'm curious about workshops, online courses, even specific articles/publishers. I'd also like to think a little outside the box, if there is a training that would typically be focused on a different industry but provides useful concepts. I know this is a big topic area so there could be many approaches, I'd love to hear them all.
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Data Manager3 months ago
ESRI is a potential resource with ArcGIS StoryMaps and other communication training, often for free. Learn How to Be a Storyteller | ArcGIS StoryMaps Resources, Blog, Help (esri.com)Principal Software Engineer, Data Engineering in Energy and Utilities3 months ago
Domain-driven data engineering can help teach a team of data engineers storytelling concepts by emphasizing the narrative and context behind the data. Here's how:Contextual Understanding: By structuring data architecture around specific business domains, data engineers gain a deeper understanding of the context and relationships within the data. This contextual knowledge is crucial for crafting compelling stories that resonate with stakeholders.
Alignment with Business Logic: Ensuring that data models and pipelines align closely with core business logic helps engineers see the direct impact of data on business outcomes. This alignment makes creating narratives highlighting the data's significance and implications easier.
Enhanced Communication: A domain-driven approach promotes a common language between data engineers and business stakeholders. This shared understanding facilitates more transparent and effective communication, which is essential for storytelling.
Identifying Key Metrics and Trends: By focusing on specific business domains, engineers can more easily identify key metrics, trends, and insights relevant to the narrative. This focus helps construct stories that are data-rich but also meaningful and actionable.
Building Intuitive Data Visualizations: Understanding the business context allows data engineers to design more intuitive and impactful data visualizations. These visualizations are critical storytelling components, helping convey complex information in an accessible and engaging way.
Encouraging a Narrative Mindset: Emphasizing the importance of domain context encourages engineers to think beyond the technical aspects of data. They learn to view data as part of a larger story, considering how it can be used to support and illustrate business narratives.
By integrating these principles, domain-driven data engineering helps data engineers build robust data systems and develop the skills to effectively tell the stories that data can reveal.