How to Deliver Insights Instead of Data

Many amazing presenters fall into the trap of believing their data will speak for itself. But it never does… Our brains aren't spreadsheets, they're story processors. You may understand the importance of your data, but don't assume others do too. The truth is, data alone doesn't persuade…but the impact it has on your audience's lives does. Your job is to tell that story in your presentation. Here are a few steps to help transform your data into a story: 1. Formulate your Data Point of View. Your "DataPOV" is the big idea that all your data supports. It's not a finding; it's a clear recommendation based on what the data is telling you. Instead of "Our turnover rate increased 15% this quarter," your DataPOV might be "We need to invest $200K in management training because exit interviews show poor leadership is causing $1.2M in turnover costs." This becomes the north star for every slide, chart, and talking point. 2. Turn your DataPOV into a narrative arc. Build a complete story structure that moves from "what is" to "what could be." Open with current reality (supported by your data), build tension by showing what's at stake if nothing changes, then resolve with your recommended action. Every data point should advance this narrative, not just exist as isolated information. 3. Know your audience's decision-making role. Tailor your story based on whether your audience is a decision-maker, influencer, or implementer. Executives want clear implications and next steps. Match your storytelling pattern to their role and what you need from them. 4. Humanize your data. Behind every data point is a person with hopes, challenges, and aspirations. Instead of saying "60% of users requested this feature," share how specific individuals are struggling without it. The difference between being heard and being remembered comes down to this simple shift from stats to stories. Next time you're preparing to present data, ask yourself: "Is this just a data dump, or am I guiding my audience toward a new way of thinking?" #DataStorytelling #LeadershipCommunication #CommunicationSkills

Yesterday, I was able to give a talk on data storytelling. What do we do if people don't want to buy into the data or push back? We spend millions on data infrastructure, AI tools, and advanced analytics. But the biggest bottleneck to ROI is rarely the technology—it’s the psychology. The question around overcoming the doubts can come up often. Data teams presents a data story or insight, and the stakeholders don't listen, don't buy in, or listen and go back to the old way of doing things. "That number feels wrong." "My gut says otherwise." "We’ve always done it this way." When people don't "buy in" to the data, they don't may not just ignore it—they may actively push back, causing disruption and stalling transformation. How do we handle the skeptics and the resisters? We stop treating resistance like a math problem and start treating it like a people problem. Here are 4 ways to bridge the gap between data and belief: 1. Invite them into the kitchen. Don't just serve the final meal (the dashboard). Show them the ingredients (the data sources) and the recipe (the logic). When stakeholders are involved in the definition and calculation phase, they feel ownership rather than suspicion. 2. Validate the "Gut Feeling." Never dismiss intuition. Intuition is just internalized experience or maybe call it personal data. Instead of saying "You're wrong," say, "Let's see if the data supports that experience." Make the data a partner to their expertise, not a replacement for it. 3. Master the Narrative (Data Storytelling). A spreadsheet appeals to logic; a story appeals to emotion. If you want buy-in, you have to connect the data point to a business outcome they actually care about. Context creates conversion. 4. Transparency over Complexity. A "black box" AI model is a magnet for distrust. If you can't explain how the model reached the conclusion in plain English, you can't expect a non-technical leader to bet their P&L on it. Data doesn't change organizations. Trust in data and people change organizations. How do you handle it when a stakeholder flat-out rejects the data? Leaders and stakeholders matter, so, get them on board. Stay nerdy, my friends. #DataLiteracy #AI #ChangeManagement #DataStorytelling #Leadership #Culture

Analytics aren’t just numbers; they’re your roadmap to publishing growth. Data isn’t power, it’s potential. For publishers, the real value lies in transforming raw metrics into repeatable growth strategies that drive audience retention, revenue, and #SEO performance. Too often, publishers collect vast amounts of data but fail to extract meaningful takeaways. The key is understanding what content resonates, how audiences engage, and where opportunities for growth exist. Collecting data is easy; extracting insights is not. Without clarity, metrics like pageviews and bounce rates become distractions. For example, a 40% drop in returning visitors isn’t just a traffic issue—it’s a retention red flag. By using the right tools and refining strategies based on real data, you can turn numbers into growth. Here are actionable strategies to turn data into action: 1. Know Your Audience Beyond Pageviews Pageviews alone don’t tell the full story. Instead, track return visitors, time on page, and scroll depth to measure true engagement. Tools like Google Analytics 4 (GA4) and Parse.ly provide deeper insights. Cohort analysis can reveal trends, millennials may prefer video, while Gen X engages more with newsletters. For example, if mobile traffic spikes by 20% after 8 PM, push breaking news via mobile notifications to capture that audience in real-time. 2. Optimise Content Performance with Behavioural Data Understanding why some content performs well helps you replicate success. Use @Google Search Console and Semrush to analyse search visibility and Hotjar Digital Marketing Company to track user interactions. For example, if "AI in media" gets 3x more shares than "content trends," double down on AI-related content. Additionally, A/B test headlines (e.g., “5 Growth Hacks” vs. “Proven Tactics”) to see what improves click-through rates. 3. Track Conversions, Not Just Traffic Traffic alone doesn’t guarantee success—conversions do. Set up goals in GA4 to measure newsletter sign-ups, paid subscriptions, or product purchases. Identify which referral sources drive the highest conversion rates, and adjust your strategy accordingly. For example, premium subscribers from "how-to guides" tend to have a 15% higher lifetime value than general news readers, meaning content type matters when driving long-term revenue. To scale what works, automate reporting with Power BI Visualization or Looker Studio to save 10+ hours per month. Analytics only matter when they drive actions. The biggest mistake any publishers can make is to treat data as a report card instead of a playbook. Start by auditing one content category this week, setting up a conversion goal in GA4, and A/B testing a headline. Data doesn’t lie, but it won’t work unless you do something. What analytics tools are you using to grow your publishing efforts? Share your go-to platforms in the comment below. #DigitalPublishing #SEO #ContentStrategy #AudienceGrowth #DataAnalytics

The 7-Minute Dance Every medical sales rep knows the ritual. Wait in the hallway. Catch the surgeon between cases. Make your pitch. Seven minutes, if you're lucky. But here's what we miss: Surgeons aren't avoiding your product. They're avoiding the dance. Because surgeons don't buy products. They buy better outcomes. They buy reduced risk. They buy time. And time is the one thing they can't get more of. The traditional pitch - features, benefits, ROI - it's all about your clock, not theirs. What if, instead of trying to steal their time, you became a time giver? The best reps aren't hallway hunters anymore. They're insight providers. Problem anticipators. Complexity reducers. They show up with: "Here's what your colleagues are struggling with..." "This is what the data shows..." "I noticed something in your approach that could..." Suddenly, those seven minutes aren't about your product. They're about their practice. When you shift from selling time to saving time, the hallway becomes optional. Because surgeons don't need another vendor. They need a scout. An interpreter. A curator of solutions. The game isn't about catching them between cases. It's about becoming the case they want to make time for. How would your pitch change if you measured it in insights delivered instead of minutes stolen?

Executives 𝗱𝗼𝗻’𝘁 𝘄𝗮𝗻𝘁 more data, they 𝘄𝗮𝗻𝘁 meaning. 𝗗𝗮𝘁𝗮 → 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 → 𝗦𝘁𝗼𝗿𝘆𝗹𝗶𝗻𝗲 #𝟭 𝗟𝗲𝘁’𝘀 𝘀𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗗𝗮𝘁𝗮 (𝘁𝗵𝗲 𝗿𝗮𝘄 𝗳𝗮𝗰𝘁𝘀) - This is what happened.  - Numbers, tables, charts, percentages → all factual but not yet meaningful. - Example: “Digital transactions grew 12% last quarter; branch transactions fell 5%.” → By themselves, these don’t tell management why it matters or what to do. #𝟮 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 (𝘁𝗵𝗲 𝗺𝗲𝗮𝗻𝗶𝗻𝗴) - This is what it implies. - You interpret patterns, connect causes and effects, and draw implications. - Example:  “Customer behavior is shifting toward convenience; traditional customers are adopting digital but still depend on branch staff.” → You’re starting to tell the message, but it’s still fragmented. #𝟯 𝗦𝘁𝗼𝗿𝘆𝗹𝗶𝗻𝗲 (𝘁𝗵𝗲 𝗻𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲) - This is how you structure the insights, so people understand the story. - Example: “Digital usage among our customers has grown steadily. ..However, branch workloads remain high because older users haven’t migrated to the app. ..This signals the need for targeted onboarding programs and KPI alignment to drive digital adoption.” Most decks 𝘀𝘁𝗼𝗽 𝗮𝘁 𝗱𝗮𝘁𝗮. Great decks connect the dots into a 𝘀𝘁𝗼𝗿𝘆. 👉 More at: aseptamar.com https://lnkd.in/gMhS9-jK

Your execs don’t hate data...they hate how you present it 73.5% of managers and executives at data-leading companies say their decisions are always data-driven (Passive Secrets, 2025). But here’s the kicker: ↳ Many execs in YOUR company probably still roll their eyes when you bring up data. Not because they don’t care, but because they don’t understand what you’re saying. I know this because I’ve been on both sides. I’ve been the data analyst, the one diving deep into numbers, and I’ve also been the executive, the one making business decisions. And let me tell you: the gap is REAL. Data isn’t the problem. The way you deliver it is. If you want execs to beg for insights instead of avoiding them, you need to ditch the tech talk and start playing smarter. Here’s how: 1. Speak their language (ditch the jargon) ↳ If you start talking about “regression models” and “standard deviations,” they’re already tuning out. 💡 What to do instead? Translate it into business value. Better yet...tie it to THEIR interests. Try starting with: “Here’s how this impacts your bonus...” Watch their ears perk up. 2. Deliver quick wins (make data the hero) ↳ Executives don’t have time to sit through a 50-slide presentation on why your dashboard is revolutionary. 💡 What to do instead? Solve a tiny but painful problem FAST. Show them that data = speed, not headaches. 3. Keep it short (serve data like espresso shots ☕) ↳ You wouldn’t chug an entire pot of coffee in one sitting, right? ↳ Then why are you flooding your execs with 20-page reports? 💡 What to do instead? Give them one stat, one insight, and one action. 4. Tell a story (make data stick) ↳ Facts fade. ↳ Stories stick. 💡 What to do instead? Frame your data like a narrative. Use “you” 3x more than “data.” Make it personal. 5. Let them ‘steal’ the Idea (It’s psychology, not ego) ↳ Execs love their own ideas. ↳ Make them think they came up with yours. 💡 What to do instead? Ask: “What’s your gut feeling?” before showing the data. Now they’re invested. Now they want to see the numbers. 6. Address their hidden fears (Data = their safety net) ↳ Every exec has an unspoken worry...missing revenue goals, losing market share, failing to impress investors. 💡 What to do instead? Position data as their insurance policy. 7. Leave them hungry for more (The curiosity play) ↳ Want them to start chasing YOU for insights? ↳ Don’t dump everything at once. 💡 What to do instead? End every conversation with a question. ✔️ Data isn’t boring. ❌ Bad delivery is. What’s one data insight you WISH your execs would get excited about? Drop it in the comments. 👇 ♻️ Repost and tag someone who needs to hear this today. 📌 Found it helpful? Save for later. 👉🏻 Follow Glenda Carnate for more tips on Data/AI! #analytics #executives #entrepreneurship #innovation #data #ai 

Dashboards are overrated. The best insights come from people, not data. One Swiggy consumer taught me that lesson in the most surprising way. His order history puzzled me. Vegetarian meals during the day and weekends. Non-vegetarian dishes late at night—always after 11 PM. When I got the chance, I asked him why. “My family is strict vegetarian,” he admitted, a little embarrassed. “But I love chicken. I wait for them to sleep, then order my favourite dish, intercept the delivery guy at the society gate, eat it by the clubhouse, and go back home.” That conversation stayed with me. It reminded me of something simple yet profound: Data doesn’t tell the whole story. No MIS dashboard could capture this complexity. No algorithm could predict this pattern. But a 5-minute chat with a consumer did. Consumers are full of surprises. Their lives don’t fit neatly into rows and columns. So, here's what to do: Get out there. Talk to your consumers. You’ll uncover stories no dashboard can tell. And those stories? They’re your edge. #marketing #business #career

The biggest lie in data analytics: The data speaks for itself. Whenever I post about the importance of selling your insights, someone will inevitably comment that this is only true if: your audience is dumb / you work in big tech / you’re not a “real” scientist. Respectfully… no. High-quality work is the baseline. But it will never get off the shelf if you can’t communicate the value of that work. Unfortunately, no one teaches analysts how to influence. But for marketers… that’s their whole job. So I borrowed a few of their tricks. Here are 5 marketing-inspired strategies that’ll make your insights land: —— 1. Treat slide titles like headlines ↳ Bad: “Q2 Revenue by Region” ↳ Better: “Europe Drove 80% of Our Q2 Growth” 2. Repeat your message like a marketer ↳ Repetition builds clarity ↳ Reinforce your key point in titles, charts, notes, voiceover 3. Use copywriting formulas  ↳ Frame your message with a structure that sticks ↳ Example formula: PAS (Problem → Agitate → Solution) 4. Add urgency ↳ People act when something feels time-sensitive ↳ Try: “Fixing this by Q3 could save $500K” 5. Lead with the benefit, not the finding ↳ Your stakeholders don’t want a number (the “what”) ↳ They want a reason to care (the “so what”) —— Great analysts know how to run the numbers AND land the message. I break these down (with examples you can steal) in this week’s newsletter: “5 marketing tricks to land your insights” Click “View my newsletter” at the top of this post to read it. —— ♻️ Repost to help other analysts build their influence 👋🏼 I’m Morgan. I write about data viz, storytelling, and how to make your insights actually land with your audience.

Data Without a Story? You're Missing the Point! Leading multiple large-scale projects, I’ve learned that data alone isn’t enough. Raw numbers, charts, and spreadsheets rarely inspire action. It's the story within the data that drives change. Think about it: 📊 Context is Your Compass: Without understanding the "why" behind the numbers, your audience is lost. Start by framing your data within a relevant narrative. 📊 Visuals That Resonate: Choose charts and graphs that make your data clear and compelling. Ditch the clutter and focus on the key takeaways. 📊 Attention is Currency: Guide your audience's eyes to the most important points. Use design to highlight the insights that matter. 📊 Design for Understanding: Apply design thinking principles to make your data accessible and engaging, empowering faster, better decisions. Essentially, it's about transforming data into a narrative that resonates. You're not just presenting numbers; you're crafting a persuasive argument, a compelling case for action. When data tells a story, it becomes more than just information. It becomes a powerful tool for influence and change. What are your go-to strategies for turning data into a compelling story? – 👉 Follow me, Rony Rozen, for more real-world insights on tech leadership.

Analytics teams spend weeks perfecting their reports and dashboards only to hear: “This is interesting, but what should we actually do?” Recently, a marketing professor DM’ed me about his students struggling with data storytelling. His marketing research class was comfortable with the reporting aspects. But when asked to offer a clear point of view or insight, they froze. Some worried it might come across as manipulating the data if they offered interpretations or recommendations. This hesitation isn’t limited to these students. Many data professionals feel uncomfortable pushing beyond the “what.” Here’s why: 👉 Fear of being wrong publicly, especially when data involves uncertainty 👉 Desire to appear objective and “let the numbers speak for themselves” 👉 Lack of business context or confidence in their domain knowledge 👉 Positioning as a support function rather than a strategic partner 👉 Not enough time to dig deeper 👉 Strong technical skills but underdeveloped communication skills As a result, analytics often stops before the diagnosis—just listing symptoms without explaining the cause, let alone the cure. We stop at reporting what happened: “Revenue dropped 18%.” 📉 And we hesitate to explain why it happened or what to do next. What we should say: “Revenue dropped 18% because our top customer segment shifted to a competitor with faster delivery options. We should pilot same-day shipping in three test markets.” Ironically, what stakeholders need most—interpretation and direction—is what analysts often avoid. And yet, we don't go to doctors just to confirm we're in pain. We go to understand the cause and find a cure. That’s where data storytelling comes in as it moves us from: ✅ 𝐖𝐡𝐚𝐭 = Symptoms (the metrics and trends) ✅ 𝐒𝐨 𝐖𝐡𝐚𝐭 = Diagnosis (why it’s happening) ✅ 𝐍𝐨𝐰 𝐖𝐡𝐚𝐭 = Treatment (what to do next) If you want your work to drive action, you can’t stop at symptoms. You need to offer meaning and a path forward. What’s one technique that’s helped your team move from reporting to storytelling and action? 🔽 🔽 🔽 🔽 🔽 Craving more of my data storytelling, analytics, AI, and data culture content? Sign up for my newsletter today: https://lnkd.in/gRNMYJQ7 Check out my brand-new data storytelling masterclass: https://lnkd.in/gy5Mr5ky Need a virtual or onsite data storytelling workshop? Let's talk. https://lnkd.in/gNpR9g_K