Turning SAP Data into Business Narratives

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

Data alone can often feel impersonal and hard to relate to but professionals have found an interesting way around it - at least in the consulting world. I found it interesting that Bain & Company tackles this by using "customer journey mapping" - an approach that transforms data into vivid narratives about relatable customer personas. The process starts by creating detailed personas that represent key customer groups. For example, when working on the UK rail network, Bain created the persona of "Sarah" - a suburban working mom whose struggles with delays making her miss her daughter's events felt all too real. With personas established as protagonists, Bain meticulously maps their end-to-end journeys, breaking it down into a narrative arc highlighting every interaction and pain point. Using techniques like visual storyboards and real customer anecdotes elevates this beyond just experience mapping into visceral storytelling. The impact is clear - one study found a 35% boost in stakeholder buy-in when Bain packaged its conclusions as customer journey stories versus dry analysis. By making customers the heroes and positioning themselves as guides resolving their conflicts, Bain taps into the power of storytelling to inspire change. Whether mapping personal experiences or bringing data to life, leading firms realize stories engage people and shape beliefs far more than just reciting facts and figures. Narratives make even complex ideas resonate at a human level in ways numbers alone cannot.

🚀 𝗠𝗮𝗸𝗲 𝗬𝗼𝘂𝗿 𝗘𝘅𝗰𝗲𝗹 𝗥𝗲𝗽𝗼𝗿𝘁𝘀 𝗦𝗽𝗲𝗮𝗸 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 💡 Data alone doesn’t guide decisions—𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗱𝗼𝗲𝘀. I see it all the time—teams spending hours compiling spreadsheets, yet decision-makers are still left asking, “𝘞𝘩𝘢𝘵 𝘥𝘰𝘦𝘴 𝘵𝘩𝘪𝘴 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘮𝘦𝘢𝘯 𝘧𝘰𝘳 𝘶𝘴?” The missing link? 𝗦𝘁𝗼𝗿𝘆𝘁𝗲𝗹𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗱𝗮𝘁𝗮. Raw numbers are powerful, but numbers paired with narrative drive action. Here’s how you can transform your Excel reports from static tables into compelling business stories: 1️⃣ 𝗩𝗶𝘀𝘂𝗮𝗹 𝗖𝗹𝗮𝗿𝗶𝘁𝘆: Use charts and conditional formatting to highlight trends, outliers, and key metrics. A single color-coded chart can communicate more than 100 rows of numbers. 2️⃣ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Numbers without context are noise. Add commentary fields or notes explaining why a metric is moving, not just that it moved. 3️⃣ 𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗙𝗼𝗰𝘂𝘀: Frame insights around decisions. What should the business do based on this data? Every report should answer a question, not just present numbers. 4️⃣ 𝗡𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 𝗙𝗹𝗼𝘄: Organize your sheets and dashboards like a story—start with the headline metric, follow with supporting data, and close with a clear takeaway. 💬 𝘿𝙖𝙩𝙖 𝙞𝙨 𝙤𝙣𝙡𝙮 𝙖𝙨 𝙪𝙨𝙚𝙛𝙪𝙡 𝙖𝙨 𝙩𝙝𝙚 𝙨𝙩𝙤𝙧𝙮 𝙞𝙩 𝙩𝙚𝙡𝙡𝙨. 𝙒𝙝𝙖𝙩’𝙨 𝙮𝙤𝙪𝙧 𝙛𝙖𝙫𝙤𝙧𝙞𝙩𝙚 𝙬𝙖𝙮 𝙩𝙤 𝙢𝙖𝙠𝙚 𝙖 𝙙𝙖𝙩𝙖 𝙥𝙤𝙞𝙣𝙩 𝙩𝙚𝙡𝙡 𝙖 𝙨𝙩𝙤𝙧𝙮? #DataStorytelling #BusinessIntelligence #DataDrivenDecisionMaking #AnalyticsForBusiness

The $2M lesson in storytelling I learned from a failing dashboard Four months building a predictive analytics dashboard. 87% accuracy. Beautiful visualizations. The VP of Customer Success used it twice, then never again. Her feedback hit hard: "I don't understand what I'm supposed to do with this." I'd built a tool. Not told a story. The shift: Instead of features, I started with her pain points: → Customers leaving without warning → No early intervention system → Revenue at risk I restructured everything as a narrative: • Warning signals (what to watch) • Predictive patterns (what happens next) • Intervention window (when to act) • Recommended actions (what to do) Same data. Same algorithms. Different story. The impact: → 23% improvement in customer retention (Q3) → Scaled to 3 departments → She presented it at the leadership summit What changed? I stopped leading with "how it works" and started with "why it matters." The best tech doesn't fail because of bad code. It fails because of bad storytelling. Now I ask: "What's the story?" before "What's the tech?" In data analytics and technology projects, narrative building isn't fluff, it's the bridge between technical excellence and business impact. The ability to craft compelling narratives is what turns technical experts into trusted advisors. This shift transformed how stakeholders engage with my work and accelerated my career growth. 💡 What's your biggest challenge in getting stakeholders to engage with your technical work? Drop a comment, I'd love to hear your experience. ⚡️━━━━━⚡️ 🔄 Found this useful? Repost and share it with your network. 🎯 Follow me for practical Data & AI insights. 🎧 For deeper dives, listen to my podcast Latency and Latte: https://lnkd.in/gvjuJuGp

🔧 Leveraging SAP Data with Power BI for Maintenance Excellence 🔧 Working with SAP data has given me deep insights into how critical information flows through maintenance processes. I’ve had the privilege of pairing it with Power BI to improve how we visualize and track maintenance tasks and work orders – and it's a game-changer. SAP provides the backbone for asset and work order management, yet traditional Excel still has its place for deeper data analysis. However, when it comes to turning data into actionable insights, nothing beats Power BI’s dashboards which automatically update daily. Visualizing data in Power BI allows me to easily track KPIs like task completion rates, work order aging, and backlog management, providing a clear overview that supports informed decision-making and proactive maintenance. As for DAX coding, I’m working to master it. DAX is incredibly powerful, and I’m learning just how valuable it is for creating more advanced calculations and custom metrics that really bring data stories to life. Anyone else find themselves using a mix of SAP, Excel, and Power BI? Would love to hear what your thoughts are. #SAP #PowerBI #DAX #MaintenanceExcellence #DataVisualization

Folks are nodding off when you're giving your financial reports? Then don't be surprised at this 👇🏼 Your data isn't driving decisions either. Data presented in a dry, complex format not only puts your audience to sleep. It also overwhelms and befuddles. The unintended effect? Ineffectiveness. Why? Because CFOs face the challenge of making critical decisions with data that's not fully understood by the team. A team not inspired by data will miss opportunities, be inefficient, and lack strategic direction. Without engaging and clear data presentation, the potential of your data to drive growth and innovation remains untapped. 🔑 Here's how you can transform your data into compelling stories that drive action: 1️⃣ Ensure Data Accuracy Start with credible and accurate data. Reliable data is the foundation of any compelling story. 2️⃣ Visual Design Use visually appealing charts, graphs, and infographics to make complex data easily digestible. Visuals like these can transform intricate numbers into clear, understandable insights. 3️⃣ Craft Clear Narratives Develop a storyline that highlights the key insights from your data. Your narrative should explain the significance of the data and how it impacts the business. 4️⃣ Effective Communication Tailor your communication to your audience's needs. Understand their expertise and preferences to make your data relatable and impactful. 5️⃣ Interactive Elements Make your data presentations interactive to boost engagement. Use colors and visual cues to highlight important trends and insights. 6️⃣ User Personas Create user personas to understand your audience better. This helps in crafting stories that resonate with their interests and expertise. 7️⃣ Actionable Insights Ensure that the data presented leads to actionable insights. Clear, measurable goals should be set based on the data to drive strategic decisions and improvements. Implement these steps and you'll turn your financial data into powerful stories that not only inform but also inspire action. ⚡Data storytelling simplifies complex data, making it accessible and engaging for your team, which in turn enhances decision-making and fosters a data-driven culture. Ready to revolutionize how you present your financial data? Connect with me for more insights and tips on leveraging data storytelling to transform your business. Let's make your data work for you! 🔽 🔽 🔽    👋 Hi, I'm Lisa. Thanks for checking out my Post!     Here is what you can do next ⬇️     ➕ Follow me for more data insights     🔔 Hit the bell on my profile to be notified when I post     💬 Share your ideas or insights in the comments    ♻ Inform others in your network via a Share or Repost #digitaltransformation #finance #cfo #data #businessanalytics

Your CMO and CFO are looking at the same data but seeing completely different stories. Your CMO sees a metric and evaluates media effectiveness. Your CFO looks at the same number and asks, “How was this even calculated?” Without the right context, data leads to confusion, misalignment, and bad decisions. At Harvest Group, we simplify complexity by translating data into a clear, actionable story. Here’s how we make data work for our clients: 1. Unify the Metrics – We align teams on what success looks like across platforms before diving into numbers. 2. Tell a Cohesive Story – We don’t just report data; we interpret it, ensuring each insight drives clear, strategic action. 3. Cut Through Analysis Paralysis – Instead of dumping spreadsheets, we focus on the KPIs that actually impact the business. Without the right interpretation, even the best data can lead to the wrong decisions. That’s why we turn numbers into narratives that move businesses forward.

Los datos no valen nada. (English see below) Hasta que cuentan una historia. Aquí está el error que veo en muchas organizaciones: Se quedan en el primer nivel. 📊 DATOS Muchos números. Poco significado. 🗂 CLASIFICADOS Ordenados por categoría. Pero todavía sin dirección. 📦 ORDENADOS Ya parecen algo útil. Aún no generan decisión. 📈 PRESENTADOS VISUALMENTE Ahora sí llaman la atención. Pero atención no es acción. 🏠 EXPLICADOS CON UNA HISTORIA Aquí es donde ocurre la magia. Porque una historia: → Conecta con el negocio → Da contexto → Responde el “¿y ahora qué?” → Mueve decisiones En transformación digital no ganan los que tienen más datos. Ganan los que saben convertirlos en narrativa estratégica. La pregunta no es si tienes dashboards. La verdadera pregunta es: ¿Tus datos están generando decisiones que agregan valor real al negocio? Te leo 👇 ———————————- Data is worthless. Until it tells a story. Here’s the mistake I see in many organizations: They stop at the first level. 📊 DATA Lots of numbers. Little meaning. 🗂 SORTED Categorized. But still without direction. 📦 ORGANIZED It looks useful. Still not driving decisions. 📈 PRESENTED VISUALLY Now it grabs attention. But attention is not action. 🏠 EXPLAINED WITH A STORY This is where the magic happens. Because a story: → Connects to the business → Provides context → Answers the “so what?” → Drives decisions In digital transformation, winners are not the ones with more data. Winners are the ones who turn data into strategic narrative. The question is not whether you have dashboards. The real question is: Are your data generating decisions that create real business value? Let’s discuss 👇

𝐇𝐨𝐰 𝐦𝐮𝐜𝐡 𝐯𝐚𝐥𝐮𝐞 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐨𝐫 𝐁𝐈 𝐭𝐞𝐚𝐦 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐚𝐝𝐝 𝐢𝐧 2025? In today’s fast-paced business environment, stakeholders don’t just want data—they are hungry for insights to inform key decisions. Delivering that level of value requires going beyond traditional reporting. Here’s a framework I use to describe the three levels of reporting and how to elevate your team’s impact: 📊 𝐋0: 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐯𝐞 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 (𝐍𝐨 𝐂𝐥𝐢𝐜𝐤) This is foundational reporting—the “what” of the data. For example, a report might list customers' top product requests, leaving teams to interpret the data independently. While useful for making the data more available or accessible, this approach offers limited strategic value. 📊 𝐋1: 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐯𝐞 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 (𝐒𝐢𝐧𝐠𝐥𝐞 𝐂𝐥𝐢𝐜𝐤) Beyond providing general information, these reports add ‘observational’ context (what’s visible in the data) to the numbers. Either an analyst or AI agent 'single-clicks' into the report details, highlighting notable trends, patterns, relationships, or anomalies. This report version highlights that A, B, and C were the top product requests (all above 30%). It provides a key takeaway for stakeholders, making the report more informative and scannable. 📊 𝐋2: 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐟𝐮𝐥 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 (𝐃𝐨𝐮𝐛𝐥𝐞 𝐂𝐥𝐢𝐜𝐤) This next level of reporting ‘double-clicks’ into what the data means (business context, strategic priorities, etc.) and potentially what actions should be taken. While it doesn’t offer a full analysis, it does represent a deeper interpretation of the results. At this level, the report highlights that requests A, B, and C were related to new security features—and adds that 90% of enterprise clients identified these features as top priorities. This progression represents what I call 𝐧𝐚𝐫𝐫𝐚𝐭𝐢𝐯𝐞 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠. While AI can excel at automating L0 and L1 reporting, 𝐋2 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐬 𝐡𝐮𝐦𝐚𝐧 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 to provide the context, interpretation, and judgment necessary for strategic decision-making. 🚀 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐋3 𝐚𝐧𝐝 𝐁𝐞𝐲𝐨𝐧𝐝? Once you move beyond L2, you’re entering the realm of analysis. This is where data storytelling becomes essential to translate your insights into compelling narratives that drive action. Teams that embrace narrative reporting position themselves as strategic advisors, not just data providers. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐮𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐬? Let’s chat about how narrative reporting and storytelling can help your team bridge the gap between data and decisions. 🔽 🔽 🔽 🔽 🔽 📬 Craving more of my data storytelling, analytics, and data culture content? Sign up for my newsletter today: https://lnkd.in/gRNMYJQ7 📚Check out my new data storytelling masterclass: https://lnkd.in/gy5Mr5ky 🛠️ Need a virtual or onsite data storytelling workshop? Let's talk. https://lnkd.in/gNpR9g_K

Data without a story is just noise. Too often, finance teams get buried in dashboards and metrics that overwhelm rather than inform. The real power lies in data storytelling and turning numbers into a clear, compelling narrative that drives action. Take the example below. On the left, we see bars and lines that technically show performance. On the right, we see the same information reframed into a story: revenue and EBITDA are declining, with a clear reason—losing a major contract. Suddenly, the insight is undeniable, and the conversation shifts from “What do the numbers say?” to “What do we do next?” Effective finance business partnership isn’t just crunching numbers. It’s about: Asking, “How does this impact the business?” Practicing how to explain financial concepts simply. Volunteering across teams to connect the dots. As Carl Seidman, CSP, CPA put it: “Effective business partnership means helping teams see the financial impact of their choices before they make them.” Finance and FP&A leaders: Are you telling stories with your data, or just presenting charts? Learn more in our data storytelling and visualization courses Corporate Finance Institute® (CFI).