You have to create a data-driven presentation. What software should you use?

Storytelling is about connecting with the audience at various levels. "Starting with why" is something that always hooks the audience, especially in the beginning of the narrative. The more the real stories are the stronger the pull. Hence data adds a load of credibility to "why', which makes the magic happen!

Craft a compelling data-driven presentation using Tableau, ideal for visualizing complex data sets with interactive charts and graphs, catering to both analytical stakeholders and non-technical audiences. Optimize your data presentation for business impact with Microsoft Power BI, offering seamless integration with Microsoft Office tools and providing a user-friendly interface suitable for diverse audiences, from executives to data analysts. Enhance data storytelling for a broad audience using Google Data Studio, a versatile tool that integrates with various data sources, allowing you to create dynamic and shareable reports tailored to the needs of your audience.

Tool selection can be done once we are able to explain... - What is the theme and which dots we are trying to connect to engage the audience? - Why these data points are needed? - What behaviours are predicted from the data points? - What actions are needed to improve from the current stage? Idea should be to focus on the key points, breakdown the data into smaller chunks and organize it using the visual graphics so that it easy to understand. Excel or Power-BI or Tableau can be used to represent the data using a PowerPoint.

I have used DataDesk for years. Paul F. Velleman created it for an academic context. It helps to visualize data as analysis is performed. Wonderful for teaching and analysis.

Start with the audience and THEIR goals in mind. Let the data tell a story about the challenges that stand in their way and paint a picture of the solutions ahead. Too many times we get caught up in talking about the data and our own analysis. The audience wants to know why it matters and what they should DO about it.

Well, I founded a data science company so I should share that using AI companies like CREWASIS.AI will help you get insights faster. I would leave the data wrangling to someone else and focus on what is the insight and what action can you take. That's how you unlock growth. Learning how to run complicated models is no longer necessary. Kmeans, Knn, Cluster analysis and more... Why not leave the heavy lifting to a partner or agency you trust where it will be 10X faster and then hone in on what insight you want to grow your business on. Happy to share more tips!

Excel is invaluable for taming unwieldy data, but the real magic happens when this data is woven into a narrative. Like a skilled storyteller, transforming rows of data into a compelling tale can captivate an audience. This isn't just about showcasing numbers; it's about creating a narrative arc that makes complex data relatable and engaging, akin to comparing data growth to a city's expansion. The goal is to make the data not just understood but felt, connecting with the audience on a level that transcends charts and graphs.

Generally we get caught in data diversity . Firstly eliminate the unnecessary data from the study which has little or negligible impact on the results. Visualization comes handy to convey the big result in short. I will use Power BI and Tableau to represent the relevant information for better visibility.

IF we are still talking about a presentation (i.e., not a sit-down, look at the printout or your computer) I still think that simple is best. If you need to use some super complicated modeling or visualization tool because you have 'large or messy data'... then maybe you need to work on your data first and THEN show it with a simple PPT graph? I could very well be antiquated and alone here but honestly... if you can't convey the point with simple tools, maybe the point needs to be broken into pieces or you may need to take people on a longer journey with simpler steps.

There are a number of great tools for data and analysis and unlike your presentation this is about you, your team, and your data so understand your data structure and then select the tool that you feel most comfortable with. Ideally this will be the same tool for your presentation but with so many tools available to you it's important to remind yourself that you can try different tools and approaches. I like to do my data exploration in one and then format things in Canva, Miro, Mural for my audience.

From my experiences in consulting internships, I understood how simple looking, but data driven, insightful presentation with less words and more visuals - charts, tables, icons, pictures are far better in helping the client understand, connect and retain information.

Mi opción siempre es PowerPoint, Keynote, Google Slides, independientemente del orden. La explicación es sencilla: el desafío de una presentación basada en datos en no presentar los datos, sino una historia que permita entenderlos. Y hay que considerar que la audiencia puede que no sepa de qué les vas a hablar, por lo que todo debe ser muy fácil. Diseña gráficos sencillos, que cualquiera queda comprender de un vistazo. El mejor ejemplo de cómo s pueden presentar datos complicados de manera simple es la revista "The Economist", que tienen equipos muy cualificados para simplificar la información de forma que sea entendible por parte de todos.

In the dynamic business landscape, leveraging data strategically is key for success. Embracing data-driven strategies empowers decision-makers with insights. My favorite tools for this journey: 1. Tableau: Why: With an intuitive interface, it transforms raw data into powerful visualizations, providing a seamless way to comprehend complex insights. 2. Python and Jupyter Notebooks: Why: The dynamic duo offers a versatile and collaborative platform for data manipulation and analysis, catering to the needs of data scientists. 3. Power BI: Why: Integrated into the Microsoft suite, it's robust analytics and interactive dashboards empower users to extract meaningful insights from diverse datasets, facilitating informed decision-making.

While visuals alone can generate that instant ‘wow’ factor, if you really want to drive the message home, it’s critical to piece those visuals together into a story. Just like a good novel/movie, your storyboard should have an upfront context (the ‘whys’), an amalgamation of intermingling and interesting callouts (the ‘whats’ and ‘hows’), before culminating into a climax (the ‘so whats’), ultimately leaving your audience with a message that outlives the content (or actionable recommendations/next steps). And the more visually appealing, crisp and relatable this storyboard is, the better your chances of getting through to your audience (think: the 1975 version of Sholay vs the tame 2007 remake)

Craft a data-driven presentation that captivates with Insight Slides, seamlessly integrating data visualizations into sleek designs, ensuring a visually compelling narrative that engages and informs your audience. Elevate your presentation game with Data Flow Pro, a software that not only designs visually striking slides but also facilitates dynamic data updates in real-time, ensuring your delivery remains fresh, relevant, and responsive. Transform data into a captivating story using Vivid Insights, a presentation tool that combines powerful design capabilities with intuitive delivery features, allowing you to weave a compelling narrative backed by data, leaving a lasting impact on your audience.

In the realm of data-driven presentations, it's not just about the software; it's about the story behind the data. I've seen presentations transform with the power of narrative. For instance, using Tableau not only for its analytical prowess but also to weave a compelling story about market trends led to a breakthrough in our strategic planning. Remember, the right tool is crucial, but how you use it to connect data with real-world scenarios makes your presentation resonate. It's the art of turning numbers into narratives.

Are you trying to tell the truth or sell a story? Statistics lie and liers use statistics. Data, software, etc. are all tools. What is the "true" information that you are trying to present to the audience and is it real or a sham. The tool, information, or presentation only matter if they are profiting truth and not a sales pitch for a decision maker that you really support and care about.

Está claro, como citas, que la simple acumulación de datos no aporta valor añadido. Tener mucho dato sin historia que explicar, es lo mismo que no tener datos y vender solo una historia.

Forget fancy slides, focus on the story! Data shines when it tells a clear, compelling narrative. Start with your audience's questions, not flashy charts. Craft visuals that simplify, not overwhelm. Less is more: highlight key insights, ditch the data dump. Let numbers sing! Use anecdotes, analogies, and storytelling to bring data to life. Practice like a pro: rehearse your narrative to keep it engaging. ️ Remember, you're the guide, not the slideshow. Trust your expertise, let your passion shine, and your data-driven story will captivate anyone!

I won't put too much data in a presentation. It's better to summarize them in an easy to understand format (and here tools can play a role) and provide a link to the data source. The important point in a data driven presentation is the "so what". What are these data telling us? How are they helpful in decision making?