ChangeSmith ’s Post

Very excited to help to paradigm-shift the value of healthy people and culture in investment. No longer will the most impactful aspect be informed by the least impactful data points. Ready to learn more? ChangeSmith can help. 🩷🦋 #OrganizationalHealth #PracticeCulture #HealthyLeaders #SafetyFirst #ParadigmShift #PeopleFactor

Now that we've caught your eye with a photo of Steph Curry doing what he's truly great at, check out a blog post our Co-Founder and CEO Peter Fishman wrote digging into how an analyst should look at Steph's outlier shooting performance. How should an analyst approach this type of abnormal data — is there an underlying story or other implication to such an outlier? What are the business implications? How should you expect performance to change if surrounding circumstances are different? While it's clear that Steph Curry is an incredible basketball player, the thought experiment around his success can help analysts think more clearly about their own work. Check out the blog at the link in the comments:

In today's data-driven world, corporate decisions and strategies rely on insights derived from sophisticated data practices. It's fascinating to see the evolving career paths of professionals who have led data and analytics groups. Have you come across any inspiring stories of individuals transitioning from leading data roles to positions such as CMO, President, or even CEO? Norm de Greve is an example of a former leader of a analytics practice now CMO of GM that comes to mind. Any others?

One of the easiest ways to become a leader on your analytics team: Hold debrief meetings. When something goes wrong... - A blank dashboard - A broken data pipeline - An incorrect calculation Meet about what happened and what can be done to avoid the same problem in the future. The most important part? Write it down. Write down: 1) What the situation was. 2) What was the problem. 3) What was the impact. 4) How it was fixed. 5) What will be done differently in the future. It's not enough to fix the immediate problem. You must ensure your team doesn't make the same mistake again. Do this repeatedly and your team has no choice but to improve. Go from failures to a high-performing team. All you need to do is debrief.

💰 Day 14 of 90 Coaching in Public ⚾️ Today we are Leveraging Data to Make Informed Decisions At all levels of business, government and even sport, data drives decision-making. It aids with organizational alignment and operational efficiency. 💻 For a good few years, the Oakland A’s made the most with the least from a budget perspective. Billy Beane’s Moneyball approach analyzed previously disregarded player data - like on-base percentage (OBP), wins above replacement (WAR) and runs created (RC). This data-driven strategy helped him make smarter decisions, challenging traditional scouting methods, and ultimately fielding a series of competitive teams. 💪🏽 In the same way, corporate leaders leverage analytics and metrics to uncover hidden opportunities and optimize resources. By engaging objective data, professionals can make more informed decisions that drive better outcomes, just as Beane did in the Major League. 🚨 CTA: Identify 2 key data points that you believe will drive stronger decision-making and more sustainable results for your organization. >> Perhaps client touches per year? Or IRL to virtual closing ratio? << Zero in on how you might refine those metrics and broadcast their impact upon the team, org or family. 🧠 Play money ball. See you tomorrow… #data #decisions #strategy #tactical #talent #focus #successhabits #90/90

Ever caught yourself making assumptions in a high-stakes meeting? This week, I found myself in a deep dive into data analytics, where one question caught me off guard - "What's the capital required for XYZ growth plans?" It's easy, tempting even, to claim we've hit the bullseye in the first shot. But there's so much we miss if we don't consider the multiple variables at play. Picture this - a supercharged CFO who not only charts out financial strategies but also nurtures cross-departmental collaboration. This game-changer can illuminate unseen options, untapped variables, and unexplored territory. Are they simply making up numbers, or are they charting paths to unprecedented growth? Before you answer, consider this - Does your executive team truly have the multi-dimensional conversation needed to unlock all possibilities? Or are they merely skating on the surface?

Is data important? Yes. Does understanding and acting on all the data available guarantee success? No. Does it increase your chances of success? Demonstrably yes. I didn't realise that working at Match.com was on the career path to Vice-Chair of a football club but Jason Stockwood seems to have made it work and has written a very good article: https://lnkd.in/e8UiSj5q A highlight for me is: "At Grimsby, our approach is simple: you need a clear strategy, the right people, values that align with that strategy, and the best available information to minimise risk. Even with all of this in place, timing, culture, and luck play an outsized role. Alignment is key. If the people and the culture aren’t aligned to this way of thinking, you spend too much time pulling in different directions and relying on luck for success, rather than shaping your fate."

You know those game-changing brands that seem to can't lose? They all share one secret weapon: An obsessive commitment to data. The numbers reveal opportunities and pitfalls before they happen. Hitting their targets becomes inevitable when they optimize every metric. It's how they maintain that diamond-strength edge over the competition year after year. No guesswork, just fact-based momentum. So tell me, what metrics will be powering your diamond edge this week? An unflinching focus on them could cement your legendary status! #LeadershipTips #FocusedTeam #KeyPerformanceMetrics

🚨"UNEVEN PLAYING FIELD: THE GROWING DIVIDE IN FOOTBALL ANALYTICS DEPARTMENTS"🚨 ⤵️The data revolution in football mirrors challenges we see across many industries... ⤵️As this recent The Athletic article & Traits Insights highlights, clubs like Brentford and Brighton have thrived by embedding data analytics deep into their operations. It's not just about having sophisticated models - it's about ensuring buy-in from senior leadership. ⤵️Like Tony Bloom at Brighton and Matthew Benham at Brentford, senior leadership must advocate for data-driven decision-making to truly transform an organization. ⤵️The article also points to resource constraints for smaller clubs, where data analysts often juggle multiple roles. ⤵️In business, smaller companies face similar challenges, with limited resources leading to analysts wearing multiple hats—data engineer, scientist, and analyst all in one, ultimately leading to burnout and missed opportunities. ⤵️The lesson for all industries is clear: building a successful analytics department requires more than just technical talent. It demands alignment with leadership, investment in specialized roles, and a culture that values data at all levels. ⤵️If football’s progressive data departments have taught us anything, it’s that data is only as good as the organizational structure that supports it. Article in the comments👇 #analyticsdepartments #football

How does NFL football demonstrate the power of #peopleanalytics? By illustrating the power of using real-time data in the context of gameday decisions. There's a clear parallel to the new trend of increasing manager effectiveness with people data and insights that Visier Inc. highlighted in their 2024 Workforce Trends report. In this article, Daniel O'Connell and I build on those ideas and offer suggestions on how to navigate common challenges when enabling front-line managers with data. https://lnkd.in/eaR8KDv6