Comment améliorez-vous la présentation des données dans votre secteur ?

To analyze and present data effectively, you need to understand your audience. Before you dive into your data, consider these questions: Who will use this data? What are their questions? What decisions do they have to make? How will they access the data? These questions will guide you to determine the scope, purpose, and format of your analysis and presentation. You should also keep in touch with your audience along the way, to seek feedback, clarify expectations, and agree on the goals. By knowing your audience, you can provide data that is relevant, useful, and actionable.

Another way to know the audience is to ☀️ have a chat with them casual at pantry, just to understand their expectations/ needs ☀️ co-create the works with them by seeking their feedback. so that they are involve "lightly" in the work

Knowing your audience is a fundamental aspect of improving data presentation in any industry. Tailoring data visualizations and insights to match the expertise, interests, and decision-making needs of your audience ensures effective communication. Executives may prefer high-level summaries, while technical teams may require in-depth analyses. Understanding the specific questions or concerns of your audience allows you to prioritize and emphasize relevant information, select appropriate visualizations, and adjust the level of detail in your presentations. This audience-centric approach fosters engagement, enhances comprehension, and ultimately contributes to more impactful and successful data presentations within your industry.

Une des principales questions à se poser avant la construction d'un tableau de bord est celle de l'utilisateur. Qui va utiliser ce tableau ? Quelles sont ses connaissances au sujet des données ? De quoi a-t-il besoin et quelles sont les questions auxquelles il va vouloir répondre avec celui-ci ? Toutes ces questions permettent de pouvoir construire un tableau de bord agréable à utiliser et surtout utile à l'utilisateur.

I find it giving them options at the early stage is good. For example, give them some prototype of the report and ask them to play around. Usually they will love to help out, especially this is the first time the report is out. At the end of that, thanking them for their contribution and ask permission to seek more feedback in the future. One thing to keep in mind, they are just a "light" contributor and keep the time short and brief.

Regardless of the format I've found the most helpful tool for data presentations is an agenda. Taking the time to provide a succinct meeting invite title and a bulleted list of what you'll be talking about is often an afterthought, but it pays off when people show up ready to make decisions. Bonus if your meeting invite includes the action items that need decisions.

Selecting the right format is a pivotal factor in enhancing data presentation within any industry. Assess the nature of your data, the intended message, and the preferences of your audience. Whether it's a detailed report, an interactive dashboard, or a concise infographic, choosing the appropriate format ensures that your data is effectively communicated. Adapting the presentation format to align with the context and the type of information being conveyed improves clarity, engagement, and the overall effectiveness of your data communication within your industry.

It's very important to have visual. Do consider some people could have impairment on seeing colours. Thus, use some tools to check for that.

Whiteboards and dynamic dashboards bring a practical edge to data presentations. Whiteboards encourage real-time collaboration, making discussions more interactive. Meanwhile, dynamic dashboards transform static data into a visually engaging experience, allowing for live customization. By keeping it straightforward, these tools help make data presentations more accessible and engaging.

In the realm of improving data presentation, incorporating visual aids is paramount. Visual elements such as charts, graphs, and infographics can convey complex information quickly and intuitively, enhancing audience understanding. Utilizing color, size, and design elements can emphasize key points and patterns in the data. Visual aids not only capture attention but also cater to diverse learning styles, making the information more accessible and memorable. Whether in a presentation, report, or dashboard, the strategic use of visual aids adds a dynamic layer to data communication, facilitating more impactful and compelling presentations in any industry.

A conversational tone makes your data more accessible to your audience, make sure you are able to tailor your presentation to your audience. Executives might prefer high-level summaries, while data analysts might want more detailed information.

Telling a story with data is a powerful technique for improving data presentation across industries. Structuring your information into a narrative helps engage and captivate your audience. Begin with a clear storyline, introducing a problem or question that the data addresses. Build tension through the data's progression, and conclude with a resolution or actionable insights. Weaving a compelling narrative not only aids comprehension but also makes data more relatable and memorable. This approach humanizes the data, turning it into a meaningful and impactful story that resonates with your audience, fostering better understanding and decision-making.

Providing context is essential for effective data presentation. Surrounding data with relevant background information, industry trends, or historical perspectives helps audience understand the significance of the presented insights. Clearly articulating the purpose and implications of the data ensures that it is interpreted accurately. Contextual information assists in framing the narrative, making data more meaningful and actionable. Whether it's clarifying the timeframe, explaining methodology, or addressing potential biases, offering context enhances the credibility and relevance of the data within the industry, fostering a more comprehensive understanding among the audience.

Feedback is a great way to guide analysts toward refining their approach and uncovering nuances. It transforms raw data interpretation into a dynamic, iterative process, enhancing accuracy and depth in insights.

Feedback is breakfast of champions!! It's nothing personal and some people just being too direct in their feedback. Just be ready to accept. When in doubt, always ask for clarifiying questions.

I would like to add on that people would feel better sense of ownership when they are involve in co-creating a story. Use that mentality to involve the audience to do that. Few options 🍥 seeking feedback on different visual designs 🍥 asking for advise on what data story they love 🍥 thanking for their contribution sincerely I hope this could create win-win for all. 😁😁