Dynamic Data Presentation Methods

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Summary

Dynamic data presentation methods use interactive tools and automated connections to display information that updates in real time, allowing users to explore and understand data as it changes. These methods make data storytelling and decision-making more accessible by keeping visuals current and flexible.

  • Automate updates: Connect your data source directly to your presentation software so charts and tables refresh automatically whenever your underlying data changes.
  • Use interactive visuals: Incorporate dashboards or features that let viewers filter, sort, or drill down into details for a more engaging experience.
  • Integrate external data: Pull in live information from APIs or databases to expand the scope of your reports and keep insights relevant.
Summarized by AI based on LinkedIn member posts
  • View profile for Josh Aharonoff, CPA
    Josh Aharonoff, CPA Josh Aharonoff, CPA is an Influencer

    Building World-Class Financial Models in Minutes | 450K+ Followers | Model Wiz

    482,131 followers

    Most financial dashboards end up clunky, boring, and hard to use. But they don't have to be. The difference between static exports and dynamic dashboards comes down to just eight Excel formulas. I walk through all of them step by step in my latest video, building a complete three statement model with dashboards that update automatically. → EOMONTH This function gets you the end of any month based on a start date. You can use it to build period headers that automatically update each month without manual changes. Perfect for creating monthly, quarterly, and annual views that stay current. The syntax is simple: point to your date and specify how many months forward or backward you want to go. → YEAR Extracts the year from any date. Simple but essential for organizing your data by year and creating dynamic headers. Takes just one argument and returns the four digit year. → MONTH Pulls the month number from a date. When you combine this with other functions, you can calculate quarters dynamically without hardcoding anything. Returns a number from 1 to 12 representing the month. → ROUNDUP Rounds numbers up to the nearest value. Use this with the MONTH function divided by three to calculate which quarter you're in automatically. Add a "Q" in front using an ampersand and you've got dynamic quarter labels that update based on your date range. → DATE Creates a date from year, month, and day values. This makes building dynamic date ranges incredibly easy when you need start dates that reference other cells. You can pull the year from one cell and hardcode the month and day to always start on January 1st. → IF Tests a condition and returns different values based on whether it's true or false. I use this to flag whether a period contains actuals or projections by comparing it to my latest month of actuals. Set up a named range for your cutoff date and the formula updates automatically each month. → SUMIFS Sums values based on multiple criteria. This is how you pull detailed financial statement data into summary dashboards. Set your sum range, then add criteria for which accounts to include and which periods to sum. You can even use date ranges with greater than and less than operators to aggregate monthly data into quarters or years. Just remember to wrap your operators in quotations with an ampersand. → XLOOKUP Looks up a value and returns a corresponding result from another range. Perfect for balance sheet data where you need values as of a specific date instead of summing across periods. Way more flexible than VLOOKUP and easier to use since you don't need to count columns. These eight formulas let you transform static exports into dashboards that filter by period, update automatically, and power real decisions. I show you exactly how to build it in the full tutorial on my YouTube channel (link in comments) === Which Excel formula do you use most in your financial reporting?

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  • View profile for Reed Lopes

    Senior Business Process Analyst | Senior Data Analyst | BI Consultant | Power BI | Python | SQL | ETL | SSIS | SSRS | SSAS | GCP | AWS | AI

    6,103 followers

    Uma das coisas que mais gosto em usar HTML no Power BI é a sua flexibilidade. Normalmente utilizamos para criar elementos visuais mais customizados. Mas ele também pode ser explorado de outra forma: como um canal de acesso a APIs públicas. Neste exemplo, incorporei em um relatório um código em HTML + JavaScript que consome a Astronomy Picture of the Day API (APOD) da NASA. (https://api.nasa.gov) O resultado é um feed estilo “blog” diretamente dentro do Power BI, trazendo imagens, vídeos e descrições dos últimos dias — tudo carregado em tempo real, sem utilizar nenhum conector nativo. Mais do que a curiosidade de ver imagens do espaço, o objetivo é destacar o potencial desse recurso: 🔹 Trazer dados dinâmicos diretamente de APIs. 🔹 Integrar informações sem depender de conectores prontos. 🔹 Ampliar o escopo do Power BI para consumo e storytelling de dados em cenários diversos. Esse é só um exemplo, mas imagine as possibilidades em áreas como mercado financeiro, monitoramento de serviços, dashboards interativos e muito mais. 👉 Para quem quiser conhecer o criador do visual que possibilita esse tipo de exploração: Daniel Marsh-Patrick 💬 E aí, vocês gostariam de um tutorial mostrando como chamar APIs dentro do visual de HTML no Power BI? English ----------------------------------------------------------------------- One of the things I like the most about using HTML in Power BI is its flexibility. We usually rely on it to create more customized visuals. But it can also be explored in another way: as a channel to access public APIs. In this example, I embedded HTML + JavaScript code inside a report to consume the Astronomy Picture of the Day API (APOD) from NASA. (https://api.nasa.gov) The result is a blog-style feed directly inside Power BI, showing images, videos, and descriptions from the past few days — all loaded in real time, without using any native connector. Beyond the curiosity of seeing space pictures, the goal is to highlight the potential of this approach: 🔹 Bring dynamic data directly from APIs. 🔹 Integrate information without relying on pre-built connectors. 🔹 Expand the scope of Power BI for data consumption and storytelling in different scenarios. This is just one example, but imagine the possibilities in financial markets, service monitoring, interactive dashboards, and much more. 👉 Special mention to Daniel Marsh-Patrick, the creator of the HTML visual that makes this type of exploration possible. 💬 Would you like to see a tutorial on how to call APIs within the HTML visual in Power BI? #PowerBI #APIs #DataViz #HTML #Innovation #Analytics

  • View profile for Carl Seidman, CSP, CPA

    Premier FP&A + Excel education you can use immediately | 300,000+ LinkedIn Learning | Adjunct Professor in Data Analytics @ Rice University | Microsoft MVP | Join my newsletter for Excel, FP&A + financial modeling tips👇

    91,323 followers

    This is a new technique I share with FP&As. Dynamic data lookups sizing the forecast range. Here’s how it works. Power Query connects to the back-end data. Import the data into a dynamic table using MIN and MAX formulas. Point to the date rate and determine the earliest and latest dates. An EDATE function calculates the number of months in between. The number of months is then used to drive a dynamic SEQUENCE array, starting with the minimum date and going as far as the EDATE determines. Every time Power Query is refreshed for new data, the three data points for the date range update as well: the beginning, the ending, and the time lapse. And because the arrays are all dynamic, the entire model updates as you wish. I illustrate this technique in Excel Power Tools for FP&A: https://lnkd.in/e5AxBzbA

  • View profile for Idara Itim

    Cloud Data Analyst | Business Analyst|Turning Raw Data into Meaningful Insights | Excel | SQL | PowerBi | Python | AI | 3MTT fellow

    1,966 followers

    Before now, I didn't know that I could clean my dataset and use it directly on PowerPoint without first creating a dashboard. What I used to do was this... ●Clean my data ●Create pivot tables ●Build dashboards Then screenshot the charts and insert them into PowerPoint slides. You may laugh, but that was my reality 😅. But what if you have a meeting in the next few minutes and you need a fast, clean way to present your findings, no time to build dashboards? Here’s how you can connect Excel data directly to PowerPoint and make it interactive and dynamic 👇 Steps: ● Open your PowerPoint presentation. ●Go to Insert → Chart → Choose any chart type (e.g., Column, Pie, Line). ●PowerPoint will open a small Excel window, replace the sample data with your own cleaned dataset. ● Format and style your chart to match your theme. ●To make updates easy, link your Excel file instead of embedding data: Click the chart → Go to Chart Design → Edit Data → Edit Data in Excel. Then go to File → Info → Edit Links to Files → Update Automatically. ● Now, anytime you update your Excel data, your PowerPoint chart updates automatically! So, the next time you’re rushing to present insights, remember, PowerPoint isn’t just for storytelling; it’s part of your analytics toolkit too. Share it, your connections may need exactly this. #DataAnalytics #PowerPointTips #ExcelToPowerPoint #DataPresentation #StorytellingWithData #DataAnalyst #ExcelTips #DataVisualization #AnalyticsCommunity

  • View profile for Cole Nussbaumer Knaflic

    CEO, storytelling with data

    41,345 followers

    Do you want your data to make a difference? Transform your numbers into narratives that drive action—follow these five key steps: 📌 STEP 1: understand the context Before creating any visual, ask: - Who is your audience? - What do they need to know? - How will they use this information? Getting the context right ensures your message resonates. 📊 STEP 2: choose an appropriate graph Different visuals serve different purposes: - Want to compare values? Try a bar chart. - Showing trends? Use a line graph. - Need part-to-whole context? A stacked bar may work. Pick the right tool for the job! 🧹 STEP 3: declutter your graphs & slides More isn’t better. Remove unnecessary elements (gridlines, redundant labels, clutter) to let your data breathe. Less distraction = clearer communication. 🎯 STEP 4: focus attention Not all elements on your graphs and slides are equal. Use: ✔️ Color ✔️ Annotations ✔️ Positioning …to guide your audience’s eyes to what matters most. Help them know where to look and what to see. 📖 STEP 5: tell a story Numbers alone don’t inspire action—stories do. Structure your communication like a narrative: 1️⃣ Set the scene 2️⃣ Introduce the conflict (tension) 3️⃣ Lead to resolution (insight or action) Make it memorable! THAT'S the *storytelling with data* process! ✨ Following these five steps will help you create clear, compelling data stories. What's your favorite tip or strategy for great graphs and powerful presentations? Let us know in the comments!

  • View profile for Gus Bavia

    🏆 Power BI World Champion 2026 | Head of Data Visualisation @insightfactory.ai

    10,658 followers

    I've been experimenting with an automation workflow that complements traditional Power BI reporting, particularly useful for generating quick presentation decks and executive summaries. Here's how it works: through a simple interface, users select their preferences (colours, themes, number of cards). An AI agent then connects to Power BI's semantic model via Microsoft APIs, executes DAX queries directly on the dataset, processes the results and generates a professional presentation. All in under 2 minutes. The workflow: 1. User inputs captured through a web interface 2. AI Agent accesses Power BI semantic model via API 3. DAX queries executed in real-time against your data 4. Output formatted and pushed to the presentation payload 5. Professional deck generated automatically with live data This isn't about replacing Power BI Desktop, it's about having another tool in the kit. Sometimes you need a quick executive summary, a client-ready presentation or a snapshot report without spinning up a full dashboard. The real power is in how you structure your knowledge base and build the payload. Once that's dialled in, you can set up custom themes, triggered reports, scheduled deliveries or handle ad-hoc requests. What you're seeing here is a credit risk portfolio analysis pulled straight from the semantic model and transformed into presentation format as an alternative output channel. 🗣️👂🏻Keen to hear: Have you explored automated presentation or summary generation from your Power BI models? What other approaches have you tried for creating quick, polished outputs beyond standard dashboards? #PowerBI #DataAnalytics #BusinessIntelligence #DataVisualization #DataVisualisation #DataAutomation #AIAgent #DataDriven #AnalyticsEngineering #Microsoft #TechAustralia #Australia #AI #Dashboards #Reports

  • View profile for Stuart Norris

    Experienced FP&A, Cost Accounting, and Financial Modeling Professional | Expert in Data Analysis, Financial Planning, and Manufacturing Operations

    2,467 followers

    Have you ever updated a chart, changed the metric… and forgotten to update the title? It’s one of those “small misses” that can confuse your CFO in a big way. Let’s fix that with a clean, dynamic trick using INDEX. In FP&A dashboards, we often build metric selectors — drop-downs that let users toggle between metrics like Revenue, Gross Margin, or OPEX %. The chart updates beautifully. But the title? Still stuck on whatever you typed manually. Here’s the trick: make your chart title dynamic — automatically changing when the metric changes — using INDEX. ✅ Step 1: Create a list of metric names (say, in B2:B5) ✅ Step 2: Create a data validation drop-down (in C1) to select the metric ✅ Step 3: Use this formula to pull the right name: =INDEX(B2:B5, MATCH(C1, B2:B5, 0)) ✅ Step 4: Link your chart title to that cell. Now your title always matches your metric — no manual edits, no errors in presentations. Here’s why this matters for FP&A models: • Keeps charts consistent with selected metrics (especially in dashboards shared with execs). • Reduces manual cleanup before reviews. • Enables reusable templates for different KPI sets. • Reinforces data integrity — one of the most underrated parts of modeling. How often do you build dynamic dashboards for your teams? Do you prefer dropdown-driven charts or fixed KPI views? If you enjoy FP&A Excel tips like this, I help professionals design dynamic dashboards that actually scale — no VBA, no complexity, just smart formulas. Follow me for more practical FP&A build techniques every week.

  • View profile for Iwa Sanjaya

    Creator of PowerLib | IBCS® Certified Analyst

    6,141 followers

    The 𝗙𝗶𝗲𝗹𝗱 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿 and the 𝗦𝗪𝗜𝗧𝗖𝗛() 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 are essential tools for creating dynamic data storytelling in Power BI. I use them here to convey key messages (examples) effectively through visual cues: 1. 𝗟𝗶𝗻𝗲 𝗖𝗵𝗮𝗿𝘁: Markers/data points and error bars serve as 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗲𝗿𝘀 to focus attention on specific periods based on the selected message. For example, highlighters can draw the eye to: - The latest month's value within the selected year. - The month with the highest value in the selected year. - The peak months (the repeating cycle) within the selected year. 2. 𝗕𝗮𝗿 𝗖𝗵𝗮𝗿𝘁: Key messages are conveyed using 𝗰𝗼𝗹𝗼𝗿 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗳𝗼𝗿𝗺𝗮𝘁𝘁𝗶𝗻𝗴 and a 𝘃𝗶𝘀𝘂𝗮𝗹 𝗰𝘂𝗲 displayed next to the data labels. For example, highlighters are used to shift the audience's attention by: - Coloring the bars (e.g., black) to emphasize product sub-categories belonging to a specific category (e.g., "Furniture"). - Using a visual cue (e.g., a red circle marker) to highlight subcategories that perform below average within that specific category. 𝗡𝗼𝘁𝗲 𝗼𝗻 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: When multiple measures are displayed on a bar chart, conditional formatting is restricted, requiring a new, separate measure to highlight specific bars. Also, the DAX for dynamic highlighting becomes more complex as multiple slicers and filtering scenarios are introduced. Many other techniques can be explored to achieve accurate and dynamic data storytelling as complexity increases, which I plan to share in future posts. #datastorytelling #powerbi #datafam #dataanalytics #businessintelligence #datavisualization #dashboard

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