Eclipse Group LLC’s Post

💡 Learnings from the DataIQ 100 Discussion roundtables The annual DataIQ 100 Discussion in London, which took place last month on the beautiful grounds of Armoury House, The HAC, featured exclusive roundtables where senior data leaders discussed critical topics such as addressing #AI's technical skills gap and exploring effective collaborations between data teams and marketing departments. Attendees participated in three roundtable rotations during the morning session, networking with diverse peers and gaining valuable insights to address their own business needs. ➡ Technical skills shortage During a discussion, the focus was on addressing the challenges of recruiting and retaining tech talent, specifically for new AI and generative AI tools. This has been a persistent issue for #data leaders, exacerbated by the recent surge in demand for skills needed to effectively utilise new technological investments. ➡ Data and marketing  One member of the roundtable explained how sentiment is a key data tool for their product offerings, and they have been working closely with the marketing team to develop new sentiment tools for social media and other public arenas of expression. They complemented what the previous member had said about making sure marketing understood the needs of the data team as the KPIs for marketing seldom overlapped with those of the data office.  ➡ Data governance, democratisation, and self-service with AI There was a divide among the roundtable participants as to whether it would be more optimal to bring governance, self-service, and democratisation together, or to keep them separated. Both approaches had their pros and cons. One member explained that they use a federated approach, which suits their size, maturity level, and organisational objectives - they did not feel that full democratisation would benefit their ambitions in their current form. 🔎 Explore the various roundtable topics discussed at the #DataIQ100 Discussion, in detail, here: https://lnkd.in/eakpfu7D 💎 Joining DataIQ is the best way to connect and engage with data leaders. To become a DataIQ member and be involved with upcoming roundtables, click here: https://www.dataiq.global/

Have you signed up for the Greenbook Annual GRIT Business and Innovation report? https://lnkd.in/dSMpYuUg At Datafin, we stay current with what is happening in the insights industry. Tech is our focus to help democratize insights and ease the burden of handling data. Instead, we make it easy to transfer into PPTX and visualize. I'd love to know what you think of the report this year and what you see as the right way forward in 2025! #marketresearch #innovation #datamanagement

𝐖𝐡𝐲 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐌𝐚𝐭𝐭𝐞𝐫 🤔 The power of using data science and analytics in today's environment is important for organizations looking to thrive in a competitive world. With data at our fingertips, we can uncover valuable insights that drive informed decision-making and fuel strategic growth initiatives. By using advanced statistical analysis, machine learning algorithms, and predictive modeling techniques, we can discover the hidden potential within our data and gain a deeper understanding of our business operations. 𝐊𝐞𝐲 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐚 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: 1. 𝑬𝒏𝒉𝒂𝒏𝒄𝒆𝒅 𝑫𝒆𝒄𝒊𝒔𝒊𝒐𝒏-𝑴𝒂𝒌𝒊𝒏𝒈: The data science and analytics program empowers professionals like you and me with the tools and techniques to analyze complex datasets and extract actionable insights. With this newfound knowledge, we can make smarter decisions that increase business success and take us toward our goals. 2. 𝑪𝒐𝒎𝒑𝒆𝒕𝒊𝒕𝒊𝒗𝒆 𝑨𝒅𝒗𝒂𝒏𝒕𝒂𝒈𝒆: By embracing data-driven decision-making, we gain a competitive edge in the marketplace. With the ability to predict market trends, identify opportunities, and mitigate risks in real-time, we can stay one step ahead of the competition and position our organization for long-term success. 3. 𝑶𝒑𝒕𝒊𝒎𝒊𝒛𝒆𝒅 𝑹𝒆𝒔𝒐𝒖𝒓𝒄𝒆 𝑨𝒍𝒍𝒐𝒄𝒂𝒕𝒊𝒐𝒏: Understanding consumer behavior, market dynamics, and operational inefficiencies allows us to allocate resources more effectively. By optimizing resource allocation, we can maximize return on investment and drive profitability across the organization. 4. 𝑰𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑮𝒓𝒐𝒘𝒕𝒉:Data-driven decision-making creates a culture of innovation within our organization. Armed with insights from data analysis, we can develop new products, services, and business models that resonate with our target audience and drive sustainable growth. While the benefits of data science and analytics are undeniable, it's important to recognize that effective implementation requires specialized knowledge and skills. Investing in a comprehensive training program ensures that you and I are equipped to harness the full potential of data and drive strategic decision-making within our organization. 𝑷.𝑺. 𝑾𝒉𝒂𝒕 𝒔𝒕𝒆𝒑𝒔 𝒘𝒊𝒍𝒍 𝒚𝒐𝒖 𝒕𝒂𝒌𝒆 𝒕𝒐 𝒖𝒔𝒆 𝒕𝒉𝒆 𝒊𝒏𝒔𝒊𝒈𝒉𝒕𝒔 𝒇𝒓𝒐𝒎 𝒅𝒂𝒕𝒂 𝒔𝒄𝒊𝒆𝒏𝒄𝒆 𝒂𝒏𝒅 𝒂𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 𝒕𝒐 𝒅𝒓𝒊𝒗𝒆 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒊𝒄 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔 𝒂𝒏𝒅 𝒕𝒂𝒌𝒆 𝒚𝒐𝒖𝒓 𝒐𝒓𝒈𝒂𝒏𝒊𝒛𝒂𝒕𝒊𝒐𝒏 𝒇𝒐𝒓𝒘𝒂𝒓𝒅? #datascience #analytics #dataanalytics #businessintelligence #bigdata #decisionmaking #innovation #growth #strategy #digitaltransformation #competitiveadvantage #resourceallocation #ROI #machinelearning #AI #businessgrowth #datainsights #dataanalysis #strategicplanning #marketanalysis #businessstrategy

𝐏𝐢𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐍𝐢𝐭𝐭𝐲 𝐆𝐫𝐢𝐭𝐭𝐲 Thus far, we’ve explored 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐁𝐚𝐬𝐢𝐜𝐬, 𝐃𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚 and 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐒𝐭𝐫𝐨𝐧𝐠 from our module 𝐁𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐭𝐨 𝐃𝐚𝐭𝐚, clearing the fundamentals. It’s time to move to the next exciting chapter. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠: 𝐏𝐢𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐍𝐢𝐭𝐭𝐲 𝐆𝐫𝐢𝐭𝐭𝐲 The chapter delves into the transformative Data-First Approach, emphasizing the power of data-driven decision-making, continuous learning, and predictive insights to enhance product strategies. It unveils how data serves as the cornerstone for crafting personalised user experiences and aligning initiatives with strategic goals. By embracing a Data-first Approach you’ll discover how to leverage data not just as a tool but as the backbone of innovation and problem-solving. Learn to balance novelty with familiarity, ensuring your products resonate with users while staying ahead of the curve. Furthermore, the chapter explores the importance of strategic alignment and the necessity of letting go of unproductive initiatives, supported by insights from economic and psychological perspectives. It also highlights the significance of exceptional user experience driven by data and the crucial process of customer discovery to identify the most impactful features to build. Whether you’re refining your data strategies or just starting to integrate data into your product management, this chapter is packed with actionable insights. 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐜𝐡𝐚𝐩𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://lnkd.in/dJ7EyrXG If you’re new here, we recommend exploring the entire module for a comprehensive understanding. 𝐁𝐞𝐠𝐢𝐧 𝐲𝐨𝐮𝐫 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐡𝐞𝐫𝐞: https://lnkd.in/dbpUAnwr

I do like this old post from Harvard Business School on data driven decision making: https://lnkd.in/gxq_WPhH My observations on this, having worked as a problem solver for a few years now (and I like to think as a data driven problem solver). I think most people want to be data-driven. It feels intuitive and right to make decisions backed by solid data. Where people fall short is when their actions/practices don't line up to this intent. In the linked post post there's 2 notable suggestions the authors make to shift this: "look for patterns everywhere" and "tie every decision back to data". I think these can be tied together into an even simpler principle: be curious. In my career, the times when I've had the greatest impact and generated the most value have been when my decisions were grounded in data, and when I could monitor those same datapoints to evaluate what I was implementing. These opportunities never started with a clear dataset though. I've never been handed a pareto chart and told fix this. It always starts much murkier. To get to the data needed to have impact, I would always apply some variations of a few key questions. They tend to be something like this: 1. Why are things the way they are? 2. How do we know that the current state is broken? 3. How would we know if whatever we do to change this has worked? Asking curious questions like this, in my view, is enough to become a data driven problem solver - and can help you, or those you work with - become data-driven decision makers. #data #problemsolving

𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐒𝐦𝐚𝐫𝐭 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 In today's data-driven landscape, organisations are faced with a wealth of information stemming from operational processes and logging of operations, commonly known as big data. However, the true value lies in discerning actionable insights from this vast pool of data. In this online masterclass, we will unravel the concept of smart data, which is strategically collected to enhance customer understanding and drive meaningful outcomes. By combining big data from operations with smart data for customer insights, attendees will gain a deeper understanding of the nuanced differences and complementary roles they play in organisational success. Attendees will leave equipped with the knowledge and tools to strike a balance between these two data paradigms, unlocking the full potential of data resources and driving sustainable growth. Join us as we embark on a journey to harness the power of strategic insights and propel your organisation towards success! At the end of the Masterclass, you will also have the opportunity to ask your questions. 📅 Thursday, 21 March 2024 ⏲️ 3.00pm - 4.00pm CET Interested to join the online masterclass? ➡️Follow the link to register: https://bit.ly/4324FGV.

From Data to Decisions: The Problem-Solution-Result Approach to Business Strategy In today's fast-paced business environment, relying solely on intuition can lead to missed opportunities. Many organizations struggle with how to effectively use data to inform their strategies. This is where the Problem-Solution-Result approach comes into play. Problem: Companies often find themselves overwhelmed by data without knowing how to turn it into actionable insights. This can result in poor decision-making and lost revenue. Solution: At Analytic Minds Hub, we specialize in transforming raw data into meaningful insights. Our team of experts works closely with businesses to identify key challenges and develop tailored strategies. By automating processes, analyzing customer data, and segmenting markets, we help organizations understand their data landscape. Result: The impact of leveraging data-driven strategies is profound. Our clients have seen significant improvements in their decision-making processes, resulting in enhanced customer experiences and sustainable growth. For instance, one client increased their revenue by 25% within six months of implementing our solutions. If you're ready to make data work for you, let's connect! Together, we can uncover the insights that will drive your business forward. #DataDriven #BusinessStrategy 🔍📈🤝💡

𝐋𝐄𝐀𝐃𝐄𝐑'𝐒 𝐒𝐓𝐑𝐀𝐓𝐄𝐆𝐈𝐄𝐒 𝐅𝐎𝐑 𝐈𝐋𝐋𝐔𝐌𝐈𝐍𝐀𝐓𝐈𝐍𝐆 𝐓𝐇𝐄 𝐏𝐀𝐓𝐇 𝐅𝐎𝐑𝐖𝐀𝐑𝐃 𝐒𝐄𝐑𝐈𝐄𝐒 - 3/5 🌐 𝐇𝐚𝐫𝐦𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐈𝐧𝐬𝐢𝐠𝐡𝐭 𝐚𝐧𝐝 𝐈𝐧𝐬𝐭𝐢𝐧𝐜𝐭: 𝐓𝐡𝐞 𝐃𝐮𝐚𝐥 𝐏𝐢𝐥𝐥𝐚𝐫𝐬 𝐨𝐟 𝐄𝐧𝐥𝐢𝐠𝐡𝐭𝐞𝐧𝐞𝐝 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐌𝐚𝐤𝐢𝐧𝐠 🌟 In our quest to illuminate the path forward, we often stand at the crossroads of data and intuition. The modern leader’s toolkit is not complete without a mastery of both. But how do we balance these dual forces to make decisions that not only propel our organizations forward but also resonate with the core of our values and vision? 📊 𝐃𝐚𝐭𝐚 gives us the map; it's the terrain we navigate, filled with trends, patterns, and signals. It informs us of the past, illuminates the present, and predicts future possibilities. Yet, the map is not the territory. It's here that Intuition steps in - our internal compass, honed by experiences, values, and sometimes, that inexplicable gut feeling that tells us which way to turn even when the map suggests otherwise. 🔍 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐜𝐭: The art lies in knowing when to lean on each. Like a skilled sailor reading the stars while feeling the wind's direction, leaders must interpret data while tuning into their intuitive senses. This balance is not a science but a practiced art, refined through reflection, openness to learning, and the courage to trust oneself. 💡𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐒𝐭𝐞𝐩𝐬 𝐟𝐨𝐫 𝐇𝐚𝐫𝐦𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐈𝐧𝐭𝐮𝐢𝐭𝐢𝐨𝐧: 𝐃𝐚𝐭𝐚 𝐚𝐬 𝐭𝐡𝐞 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭: Let your data lay the groundwork. Understand the facts, figures, and what they suggest. 𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐯𝐞 𝐏𝐚𝐮𝐬𝐞: Before deciding, take a moment. What does your experience tell you? Is there an alignment or a discord with the data? 𝐒𝐞𝐞𝐤 𝐃𝐢𝐯𝐞𝐫𝐬𝐞 𝐏𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞𝐬: Sometimes, our intuition needs calibration. Feedback from trusted colleagues can offer new angles and insights. 𝐒𝐦𝐚𝐥𝐥 𝐒𝐭𝐞𝐩𝐬, 𝐁𝐢𝐠 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Test your decisions on a smaller scale when possible. It’s a way to learn from both your data and your intuition without significant risk. 𝐑𝐞𝐯𝐢𝐞𝐰 𝐚𝐧𝐝 𝐑𝐞𝐟𝐥𝐞𝐜𝐭: After the decision, look back. How did the outcome align with your data and intuition? Each decision is a learning opportunity for refining this balance. 🔄Mastering the balance between data and intuition is a continuous journey, marked by successes, learning moments, and the relentless pursuit of growth. I’m curious - how do you navigate this balance in your decision-making process? Have there been moments when your intuition guided you against the data tide, and it paid off? Let’s share and learn from our collective journeys. Your insights could be the beacon someone needs to steer their decision-making ship. #Leadership #DecisionMaking #DataVsIntuition #StrategicThinking #LeadershipDevelopment

𝐋𝐄𝐀𝐃𝐄𝐑'𝐒 𝐒𝐓𝐑𝐀𝐓𝐄𝐆𝐈𝐄𝐒 𝐅𝐎𝐑 𝐈𝐋𝐋𝐔𝐌𝐈𝐍𝐀𝐓𝐈𝐍𝐆 𝐓𝐇𝐄 𝐏𝐀𝐓𝐇 𝐅𝐎𝐑𝐖𝐀𝐑𝐃 𝐒𝐄𝐑𝐈𝐄𝐒 - 3/5 🌐 𝐇𝐚𝐫𝐦𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐈𝐧𝐬𝐢𝐠𝐡𝐭 𝐚𝐧𝐝 𝐈𝐧𝐬𝐭𝐢𝐧𝐜𝐭: 𝐓𝐡𝐞 𝐃𝐮𝐚𝐥 𝐏𝐢𝐥𝐥𝐚𝐫𝐬 𝐨𝐟 𝐄𝐧𝐥𝐢𝐠𝐡𝐭𝐞𝐧𝐞𝐝 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐌𝐚𝐤𝐢𝐧𝐠 🌟 In our quest to illuminate the path forward, we often stand at the crossroads of data and intuition. The modern leader’s toolkit is not complete without a mastery of both. But how do we balance these dual forces to make decisions that not only propel our organizations forward but also resonate with the core of our values and vision? 📊 𝐃𝐚𝐭𝐚 gives us the map; it's the terrain we navigate, filled with trends, patterns, and signals. It informs us of the past, illuminates the present, and predicts future possibilities. Yet, the map is not the territory. It's here that Intuition steps in - our internal compass, honed by experiences, values, and sometimes, that inexplicable gut feeling that tells us which way to turn even when the map suggests otherwise. 🔍 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐜𝐭: The art lies in knowing when to lean on each. Like a skilled sailor reading the stars while feeling the wind's direction, leaders must interpret data while tuning into their intuitive senses. This balance is not a science but a practiced art, refined through reflection, openness to learning, and the courage to trust oneself. 💡𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐒𝐭𝐞𝐩𝐬 𝐟𝐨𝐫 𝐇𝐚𝐫𝐦𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐈𝐧𝐭𝐮𝐢𝐭𝐢𝐨𝐧: 𝐃𝐚𝐭𝐚 𝐚𝐬 𝐭𝐡𝐞 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭: Let your data lay the groundwork. Understand the facts, figures, and what they suggest. 𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐯𝐞 𝐏𝐚𝐮𝐬𝐞: Before deciding, take a moment. What does your experience tell you? Is there an alignment or a discord with the data? 𝐒𝐞𝐞𝐤 𝐃𝐢𝐯𝐞𝐫𝐬𝐞 𝐏𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞𝐬: Sometimes, our intuition needs calibration. Feedback from trusted colleagues can offer new angles and insights. 𝐒𝐦𝐚𝐥𝐥 𝐒𝐭𝐞𝐩𝐬, 𝐁𝐢𝐠 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Test your decisions on a smaller scale when possible. It’s a way to learn from both your data and your intuition without significant risk. 𝐑𝐞𝐯𝐢𝐞𝐰 𝐚𝐧𝐝 𝐑𝐞𝐟𝐥𝐞𝐜𝐭: After the decision, look back. How did the outcome align with your data and intuition? Each decision is a learning opportunity for refining this balance. 🔄Mastering the balance between data and intuition is a continuous journey, marked by successes, learning moments, and the relentless pursuit of growth. I’m curious - how do you navigate this balance in your decision-making process? Have there been moments when your intuition guided you against the data tide, and it paid off? Let’s share and learn from our collective journeys. Your insights could be the beacon someone needs to steer their decision-making ship. #Leadership #DecisionMaking #DataVsIntuition #StrategicThinking #LeadershipDevelopment

We've been hearing about data-driven decision making for years. But tbh, is data a must-have? Or a nice-to-have? In our personal lives, we often rely on gut feelings. Think about choosing a restaurant or deciding which movie to watch. How many of us 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 dig through all those Rotten Tomatoes reviews to decide whether we should stream 𝗕𝗮𝗿𝗯𝗶𝗲? Also, in the workplace, it can cost a lot to collect and study data. You need to spend money to set up systems and hire people who know how to analyze the information. Plus, if you have too much data and can't figure out what to do with it, it can make things even harder. But let's weigh this against the benefits. When businesses make decisions based on data, it can make things run smoother, make customers happier, and even make more money. Recommendation engines use data to suggest things you might like, making your experience better (and of course, get you to spend more!). To truly leverage data, we need a balanced approach. Here's what we should do: 📌 Prioritize your data collection: Don't boil the ocean. Focus on first collecting the most relevant data that will drive the greatest impact. Quality over quantity. 📌 Invest in analytics tools: Figure out what you need the insight for. Then use advanced analytics tools to simplify the process of extracting insight. 📌 Empower decision makers: Give people across the org the necessary skills to interpret data and act upon insights effectively. Yes, data literacy is a thing. 📌 Iterate and improve: Keep refining data collection processes and models based on feedback and results. Rome wasn't built in a day, and neither will your insights infrastructure. What about your org? Are data-driven decisions a must-have? Or nice-to-have?