Data Storytelling vs Raw Data Reporting
Developers should learn data storytelling to effectively present data-driven insights to non-technical stakeholders, such as managers, clients, or the public, enhancing the impact of their analytical work meets developers should learn raw data reporting when building systems that require transparent data access, such as audit trails, debugging tools, or regulatory compliance reports, where granular details are crucial. Here's our take.
Data Storytelling
Developers should learn data storytelling to effectively present data-driven insights to non-technical stakeholders, such as managers, clients, or the public, enhancing the impact of their analytical work
Data Storytelling
Nice PickDevelopers should learn data storytelling to effectively present data-driven insights to non-technical stakeholders, such as managers, clients, or the public, enhancing the impact of their analytical work
Pros
- +It is crucial in roles involving data science, business intelligence, or reporting, where clear communication can influence strategies and outcomes
- +Related to: data-visualization, data-analysis
Cons
- -Specific tradeoffs depend on your use case
Raw Data Reporting
Developers should learn Raw Data Reporting when building systems that require transparent data access, such as audit trails, debugging tools, or regulatory compliance reports, where granular details are crucial
Pros
- +It is particularly useful in scenarios like financial auditing, system performance monitoring, or data validation, as it provides a direct view of source data without interpretation biases
- +Related to: data-extraction, sql-queries
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Data Storytelling if: You want it is crucial in roles involving data science, business intelligence, or reporting, where clear communication can influence strategies and outcomes and can live with specific tradeoffs depend on your use case.
Use Raw Data Reporting if: You prioritize it is particularly useful in scenarios like financial auditing, system performance monitoring, or data validation, as it provides a direct view of source data without interpretation biases over what Data Storytelling offers.
Developers should learn data storytelling to effectively present data-driven insights to non-technical stakeholders, such as managers, clients, or the public, enhancing the impact of their analytical work
Disagree with our pick? nice@nicepick.dev