Stewart Buse’s Post

𝗜𝗻 𝘁𝗼𝗱𝗮𝘆’𝘀 𝗱𝗮𝘁𝗮-𝘀𝗮𝘁𝘂𝗿𝗮𝘁𝗲𝗱 𝘄𝗼𝗿𝗹𝗱, 𝘁𝗵𝗲 𝘁𝗿𝘂𝗲 𝗽𝗼𝘄𝗲𝗿 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗰𝗼𝗺𝗲 𝗳𝗿𝗼𝗺 𝗵𝗼𝘄 𝗺𝘂𝗰𝗵 𝘄𝗲 𝗰𝗼𝗹𝗹𝗲𝗰𝘁—𝗶𝘁 𝗰𝗼𝗺𝗲𝘀 𝗳𝗿𝗼𝗺 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝘄𝗲 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁 𝗮𝗻𝗱 𝗮𝗰𝘁 𝗼𝗻 𝗶𝘁. 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗮𝘀𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗴𝘂𝗶𝗱𝗲 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀? 𝗗𝗮𝘁𝗮 𝗶𝘀 𝘁𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗶𝗻𝗳𝗼𝗿𝗺𝗲𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀, 𝗯𝘂𝘁 𝗵𝗼𝘄 𝘄𝗲 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁 𝗮𝗻𝗱 𝗮𝗰𝘁 𝗼𝗻 𝘁𝗵𝗮𝘁 𝗱𝗮𝘁𝗮 𝘁𝗿𝘂𝗹𝘆 𝗱𝗲𝗳𝗶𝗻𝗲𝘀 𝘁𝗵𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲. It’s not just about having more data—it's about asking the right questions, understanding the context, and using insights to guide thoughtful, strategic decisions. Too often, teams can become overwhelmed by the sheer volume of information available, or they may focus too much on data points that don't align with the business objectives. That’s where the art of interpretation comes in. Here are a few strategies I’ve found helpful in ensuring data-driven decision-making: 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀: Before diving into data analysis, ensure your team knows the key business problems they are solving. A focused question leads to more meaningful insights. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗶𝘀 𝗸𝗲𝘆: Data without context can be misleading. Make sure you're looking at trends over time, comparing relevant datasets, and considering external factors that could influence the numbers. 𝗔𝘃𝗼𝗶𝗱 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗽𝗮𝗿𝗮𝗹𝘆𝘀𝗶𝘀: You don’t need perfect data to make a decision. Sometimes, 80% of the data is enough to move forward confidently. Focus on action and continuous iteration. 𝗙𝗼𝘀𝘁𝗲𝗿 𝗮 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮: Encourage teams to consistently bring data into discussions and decision-making, whether they’re brainstorming new projects or reviewing past performance. Join me Jayakant Pottumuthu, if you resonate with this content #DataDriven #DecisionMaking #Leadership #Strategy #BusinessIntelligence #DataAnalytics #ContinuousImprovement

I couldn’t agree more with Jayakant Pottumuthu's insightful post on the true power of data. In today’s fast-paced business world, collecting data isn’t enough—it’s about how well we interpret and act on it. 💡   ⭐ Key takeaways that resonated with me ⭐ :   Start with the right questions: Focus on solving specific business problems through data. Context is key: Without the right context, data can lead to misguided decisions. Avoid analysis paralysis: You don’t need perfect data; 80% is often enough to move forward. Foster a culture of data: Bring data into all conversations and decisions.   Thank you, Jayakant Pottumuthu, for sharing these actionable strategies! They are a great reminder for all of us working in data driven digital transformation and decision-making.   #DataDriven #DecisionMaking #Leadership #ContinuousImprovement #BusinessIntelligence #Analytics #Strategy #DataTransformation #DigitalTransformation

Self-service analytics isn't just changing how we crunch numbers – it's reshaping entire organization charts. 📊📈 As a BA, I'm seeing VPs and Directors diving into data themselves, asking sharper questions, and making faster decisions. It's flattening hierarchies and creating a more data-driven culture from the top down. But it's not all smooth sailing. With great data access comes great responsibility. I'm curious: How are you handling data governance in this new landscape? Leaders, how has direct data access changed your decision-making process? Let's chat about navigating this shift. After all, in the world of self-service analytics, we're all becoming data leaders. #BusinessIntelligence

Be skeptical of good news… the secret to being data driven Is your organization truly data driven? Here’s the test… how do you handle good news? In this age of experimentation and iterative development, never has data been so widely available to inform everything from day-to-day operations tweaks to grand strategic pivots. But here’s a simple litmus test for whether your organization is living up to its aspirations of being data driven… are you SKEPTICAL of good news? Many will instantly celebrate good news, virtually shouting it from rooftops, touting the success their gut always promised and perhaps looking for credit. But true data-driven organizations don’t just celebrate favorable outcomes—they interrogate them. They ask tough questions to ensure that the results are not just the product of chance, bias, or incomplete analysis. They dig deeper to understand the root causes, and they combat confirmation bias by being even more rigorous in analyzing successes as they are failures. Being data driven means embracing the uncomfortable truth that good news is not always coming from good data. - What assumptions were built into the analysis? - Are the trends consistent over time? - What populations were included? - Were enough samples considered? - Could there have been a mistake in the analysis?  Only by questioning and understanding your successes can you ensure that they are sustainable and repeatable. So, next time your team receives a glowing report, ask: What’s the data really telling us? #DataDriven #Leadership #ContinuousImprovement #BusinessStrategy

🚀 Hey Future Managers! Let's talk about something thrilling: Data-Driven Decision Making! 📊 Why Data Matters: In our digital age, data is like the new gold! It tells us stories, reveals secrets, and guides us towards smarter choices. 🌟 Embracing the Numbers: As future leaders, embracing data isn't just smart, it's essential. Think of data as your GPS on the road to success. 🗺️ Tools and Tricks: There's a world of tools out there to help you interpret data. From simple spreadsheets to complex analytical software, the key is to find what works for you. 💻 Remember, being data-driven doesn't mean losing your human touch. It's about blending analytics with intuition. 💡 #DataDriven #FutureLeaders #Innovation

When you have data to make a decision, what can go wrong? Ask Michael Scott. In a scene from 'The Office,' Michael Scott is following a GPS for directions. He has directions telling him the correct path to drive to his destination. He drives directly into a lake. He interpreted the data from the GPS incorrectly, resulting in an unfortunate outcome.  While you may not be driving into a body of water, you may have made another bad decision when data is faulty. Amy Edmondson and Michael Luca in a recent Harvard Business Review article discuss where data-driven decision making can go wrong. They highlight the 5 common mistakes of data driven decisions and how to avoid them: ➡️ Conflating causation with correlation Ask, if the analysis was based on an experiment? If not, are there confounders? To what extent were they addressed in the analysis? ➡️ Underestimating the importance of sample size Ask, what was the average effect of the change? What was the sample size and the confidence interval? How would our course of action change, depending on where the true effect might lie? ➡️ Focusing on the wrong outcomes Ask, what outcomes were measured? Were they broad enough? Did they capture key intended and unintended consequences? Were they tracked for an appropriate period of time? Were all relevant outcomes reported? ➡️ Misjudging generalizability Ask, does the context or time period of the analysis make it more or less relevant to our decision? What is the composition of the sample being studied? Does the effect vary across subgroups or settings? ➡️ Overweighting a specific result Ask, are there other analyses that validate the results and approach? What additional data could we collect? How might this change our interpretation of the results? Data-driven decision-making unlocks smarter strategies and outsmart the competition. When the data is flawed, misread, or blindly trusted, it can drive you into a lake, instead of to success. Before you place all your bets on the numbers, it's crucial to understand how data can steer you wrong—and how to avoid a costly misstep. #decisionmaking #strategy #datadriven #business #strategy #planning #leadership

Interesting to know #cloud #projectmanagement #projects #future #news #television #ai #artificialintelligence #technology #technologies #electronics #manager #managers #ceo #education #university #bigdata #datacenter #business #company #java #SQL #datascience #machinelearning #deaplearning #ki #deaplearning #azur #PTTglobal #PTTtechnology #excel #newyear #newyearresolution #ExcelTraining #DataAnalysis #PowerQuery #PowerPivot #ExcelMastery #2025Ready #ProfessionalDevelopment #charisma #leadershipdevelopment #executivecoaching #lifecoaching #highimpact #entrepreneurship #personaldevelopment #emotionalintelligence #softwareengineer #softwareengineers #django #samurai #irobot #nobel #connections

Unraveling the Data Puzzle: A Collaborative Journey Data analysis is like piecing together a 1000-piece puzzle. Each data point is a small piece, and it takes time, effort, and collaboration from a skilled #team to create the full picture. As a leader, I've had the privilege of leading teams that have successfully navigated the complexities of data analysis. By fostering a culture of curiosity, collaboration, and continuous learning, we've uncovered valuable insights that have driven significant business impact. Here are some key elements of a successful data analysis team: 1—Domain Expertise: A profound comprehension of the business domain is essential for formulating the appropriate inquiries and accurately interpreting the outcomes. 2—Technical Proficiency: Strong technical skills in data manipulation, analysis, and visualization are essential to extract meaningful insights from raw data. 3—Analytical Mindset: A curious and analytical mindset is necessary to identify patterns, #trends, and anomalies. 4—Effective #Communication: The ability to communicate complex data insights to non-technical #stakeholders is vital to drive decision-making. By combining these elements, we can transform data into actionable insights that fuel growth and innovation. #dataanalysis #datadriven #analytics #bigdata #datascience #businessintelligence #leadership

🔍 Is Data Working Against Us? 📊 In the world of change and transformation, data is a powerful tool. But what happens when it's used to affirm biases, make us feel good, or when it's skewed and incomplete? 🚫 I see this often in two main areas: 1️⃣ Organizational or Individual Assessments and Surveys: Whether it's culture assessments, engagement surveys, or performance metrics, data can sometimes be manipulated to paint a rosy picture. When we cherry-pick results to affirm our biases, we miss out on the real insights that drive true change. ✨ 2️⃣ Large-Scale Aggregated Datasets: Large datasets can give us a big picture in the context of change and transformation. However, they can hide the red flags and root causes if not properly analysed. The real value lies in reading between the lines and tracing issues back to their origins. 🔍🧩 That's why terms like data-driven, data-centric, and data-based XYZ concern me. By calling it that, we view data as the ultimate and possibly the only source of truth. Data is available, tangible, and believable—everyone can see it. However, data can also be used as a tool to stop conversations from going further, as the "irrefutable" data set proves the point we want to make. 📉🛑 Data should tell a story, highlight red flags, and trace issues back to their roots. This isn't rocket science—it just needs time, space, and a strong care factor. 🕰️💡❤️ Let's not fall into the trap of using data to confirm what we want to believe. Instead, let's use it to uncover the truth and drive meaningful change. #ChangeLeadership #Transformation #PeopleOfTransformation #StrategyExecution #Leadership ========== 👉 Am a Transformation & change leader dedicated to empowering impactful transformational change 💚 My mission is to enable YOU to lead the way for deeper impact and fulfilment. ♻️ Like, Comment, Share → spread value 🙌 ▶️ 🔔Follow me for practical transformation, change, and leadership insights. 📥 Subscribe to my Connect& newsletter - link below👇

Absolutely agree with this! ✅ Listening to clients' needs and demands is key! ✅ A straightforward, goal-oriented mindset can significantly impact your data projects! ✅ Continuous learning is essential for both personal and career growth! These qualities not only elevate your projects but also build trust and drive success in the data-driven world. #Data #DataTesting #DataAnalytics