How to Communicate Data Insights Effectively

Transcript

1. HOW TO COMMUNICATE DATA INSIGHTS EFFECTIVELY by Ibrahim Ogunbiyi
2. ABOUT ME As a data analyst, I also serve as an MLOps advocate at Comet where I write technical articles to educate folks on how to effectively use Comet in the ML space for experimentation. Before data analytics, I gained experience building home automation systems for a startup.
3. Communicating data insights means presenting information in a concise, clear and engaging way that is easily understood by the intended audience. It entails using appropriate visualizations, narrative and other technique to make the data more accessible and meaningful. WHAT DOES COMMUNICATING DATA INSIGHTS EFFECTIVELY MEANS? Data insights in built upon three things: • Data. • Visualizations. • Narrative.
4. Data is the foundation upon which all insights are built, and as such, it is essential that it is properly managed and maintained. As an adage says "garbage in, garbage out". Due to that data must be: • Accurate. • Reliable. • Consistent. DATA
5. TIPS WHEN WORKING WITH DATA • Ensure that all errors present in the dataset are properly identified and addressed. • Be mindful of outliers as it has significant impact on analysis and deal with it properly using expertise knowledge. • Deal with missing values accordingly.
6. Visuals are powerful tool for communicating data insights.They are the key element that are used to attract the attention of an audience. Visuals allow complex data and ideas more accessible to user. There is a popular adage that says: “human are bad with numbers especially large number”. “Before people look at figures their eyes are attracted first to the visualization to see if they can identify trends quickly.” VISUALS
8. TIPS FOR BUILDING EXCELLENT VISUALS • Less is better – KIS avoid too many colors, label, shapes, 3D effect etc. • Use appropriate Scale. • Choose appropriate visuals for your use case. • Highlight important place you want to direct your audience attention to. • Use consistent formatting across all visuals. • Label your axes. • Keep your visuals interactive if possible. Always opt for dynamic visuals rather than static.
9. Source : Polymer Search GOOD OR BAD?
10. Source : Polymer Search CORRECT VISUAL
11. Source: Sanket Shah LOOK AT THIS VISUAL – misleading or not
12. Source: Sanket Shah CORRECT VISUAL
13. HIGHLIGHTING IMPORTANT POINT Source : Polymer Search
14. WHICH VISUALS” MORE EASY TO COMPREHEND
15. NARRATIVES Narrative is the structure and flow of a story that ties together different elements of data and information to create a cohesive and compelling message in data storytelling. This is where you tailor your message backed up with visual so that your audience can comprehend your insights.
16. TIPS FOR CREATING COMPELLING NARRATIVES • Clearly define the problem statement -- this will cause direction. • Make your data relatable by using analogies, anecdote, real-world examples, etc. • Follow a clear structure by tailoring your message to only include relevant insights. • Use your visuals effectively. • Know your audience -- Tech or non tech. • Keep it simple. • Show the impact of your analysis. • Provide a call to action.
17. TIPS FOR INCLUDING RELEVANT INSIGHTS • Firstly make sure you understand the business problem indepthly – it will direct how you will tailor your insights. • Ask questions. • Include Key performance indicators (KPIs). • Include insights that support the main insights. • Organize the insights in a coherent manner.
18. KNOW YOUR AUDIENCE – Tech or Non Tech. When you communicating insights to non-tech audience like sales team, marketing, You should focus more on result rather than methodology. Avoid things like SMOTE method was used to fill the missing values etc. For example instead of saying there is a strong positive correlation between total sale and revenue. “You can say as total sales increases of over month so thus the revenue the company generate increases”.
19. CONCLUSION • Define and comprehend the problem statement. • Make good use of visuals. Avoid using too many colors, elements, and identifying the suitable visual for the use case. • Communicate your ideas using simple language. Avoid using technical jargon or complicated language. • Highlight your key insights and their significance to the analysis. • Identify and understand your audience so that you can effectively tailor your narrative.