Wie können Sie beim Entwerfen von Datenvisualisierungen Benutzerfeedback und Geschäftsanforderungen in Einklang bringen?

I will speak about why there is the need to balance user feedback and business needs in data visualizations: 1. Users may like prefer visualizations that are more visually appealing while business prefers minimal visualization conveys information clearly and effectively. Or users may want simple visualizations for easy understanding,business stakeholders may need a more detailed visualization for complex analysis. 2. Users may prefer customized, interactive visualizations while business needs a standardized,consistent one. 3. Users and business stakeholders may be interested in different time frames in data visualization. 4. There may be cultural or regional preferences which differ between users and business stakeholders.

When we’re dealing with data, it’s key to know our goals and audience first. It’s not just about showing numbers, but doing so in a way that supports our point and connects with our audience. If we’re explaining, our visuals should be clear and simple. If we’re arguing, they should highlight key trends. Knowing our audience’s familiarity with the topic helps us decide the complexity of our visuals. This ensures our data visuals are understood and impactful.

Questions you should ask yourself before conceiving your visualization: • Who is my audience, and what do they need ? • Why would they care about the data I want to show ? • How well do they know the data and where it comes from ? • What message does the data tell and what action does it therefore suggest ?

Know the user and their why. At the core of what they do, is why they do it. Understanding this purpose will help you communicate with visualizations that enable them to see what their business requires, and how they can achieve it.

I segment or group the target audience while designing the data visuals. I start showcasing the high-level summary before deep dive into the details. I define the storyline and goals before deciding the suitable data visuals. Though I value feedback from users and audience on the visualization, I will try not to put too much into each data page to balance feedback and goals.

There’s a lot of excellent books about this topic. I love Ellen Lupton’s book called “Design is Storytelling.” I also recommend information design books, like “The Information Design Handbook” by Jenn + Ken Visocky O’Grady.

Picking the right data visualization is like selecting the right tool for the job. Who is the audience and what is the situation? Let's take a Category Management discussion with a retailer for example. 3 Things we would show, Category Data to see what's working, Market Data to show Who's Winning, and Planogram/Website optimizations to show what you do with the insights gained above. Category / Market Data to show the size of the prize with some simple bar/pie chart's. Utilizing a pareto graph to communicate the efficiency/in-efficiency of the current assortment. Lastly, utilizing Space Managment Software to visualize space inefficiencies, cleaner blocking and merchandising recommendations that you are offering.

Understanding the type of visualization is crucial for making accurate, data-driven decisions. If the data presented doesn't clearly guide your next steps, it might be necessary to reconsider the metrics you're using to inform those decisions. Effective visualizations should not only display data but also provide clear direction for action.

Exploring visualization libraries opens a world of possibilities, enabling you to find the appropriate graph for your audience. This ensures that your data speaks volumes.

Consistency plays a pivotal role in the creation of visualizations, offering users a sense of uniformity and clarity in navigating data, thereby enhancing efficiency. From an IT standpoint, consistency simplifies updates; a single update can be applied across all reports, streamlining the process significantly. This approach not only saves time but also ensures a smoother user experience.

The more your data visualizations designs was smooth for user experience the more your reports and dashboards reach the target goals. So following the best practices and the designs principles has a significant role in creating user friendly reports.

An effective visualization is the blend of several factors including : • An appropriate type of graph • A judicious choice of colors ( don't forget about all types of color blindness ) • Visual balance to avoid cluttered information • An appropriate storytelling to guide your audience through the static data • Acknowledgement of possible biases induced in the process

This part about testing with users is really one of my favorites. I don't know about you, but I always try to charm. I always try to deliver magic in the midst of the ordinary. But it's no use, every time I meet with users, things come up, and sometimes even the simplest things are preferable to the most complex magic. This interaction with the user is essential.

Adopt an iterative design process that allows for continuous feedback and refinement. Start with rough prototypes and gather input from both users and business stakeholders throughout the design process.

The most important part of the data visualizations process is when your target audience interact with the final resultsnt reports and dashboards. So focus on their needs and balance between their needs and the bussiness by using the suitable platform your audience can deal with to show off your visuals like excel or power bi or tablue or other visualizations platform. Also using the suitable visuals with user friendly designs help alot in the storytelling process.

I've found that it's very beneficial to make effort in ensuring that your clients feel heard and appreciated when they provide feedback. Even if the request or feedback doesn't seem valuable at first, asking thoughtful follow up questions and attempting to understand what the client is trying to communicate can often uncover some potential improvements and will make the client more receptive to your suggestions if you feel you need to go in a different direction to better fit the business case.

Assuming that the client typically does not provide adequate feedback, a balance should be sought through a collaborative process that respects both user needs and business objectives. This aproach should always maintain flexibility to adapt as necessary.

Identify and prioritize the key metrics and information that align with both user needs and business objectives. Focus on what is most critical for decision-making.