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Great data science product managers are crucial to bridging the gap between technical teams and business requirements. A recent InfoWorld article outlines five best practices they follow to deliver high-impact products seamlessly. 1. **Deep Understanding of Data and Business**: Effective data science PMs convert business needs into clear data requirements by comprehensively understanding both the data and the business context. 2. **Collaboration with Teams**: They facilitate smooth collaboration between data scientists and engineers, ensuring timely and budget-conscious project development. 3. **User Experience Focus**: Prioritizing user experience, they ensure products are intuitive and user-friendly by leveraging user feedback and making data-driven improvements. 4. **Staying Current with Trends**: By staying up-to-date with industry trends and technological advancements, they identify new opportunities and keep their competitive edge. 5. **Measuring Success**: Using key performance indicators and analytics, they continuously measure and optimize the product's performance. Adopt these practices to deliver impactful, data-driven products. #DataScience #ProductManagement #UserExperience #Collaboration #KPIs #IndustryTrends #ITLeadership

Why SQL is Important for Product Managers 🔍 Understanding Data : Data-Driven Decisions: SQL allows product managers to directly access and analyze data, enabling informed decision-making based on real-time insights. User Behavior Analysis: By querying databases, product managers can understand user behaviors, preferences, and patterns, which are crucial for product development and improvement. ⚡ Efficiency and Autonomy : Reducing Dependency: SQL skills reduce reliance on data analysts, allowing product managers to independently retrieve the data they need quickly. Faster Iterations: With direct access to data, product managers can iterate on hypotheses and product features faster, leading to more agile and responsive product development cycles. 🤝 Communication and Collaboration Clearer Insights: Ability to generate and interpret data reports ensures that product managers can effectively communicate findings and insights with stakeholders. Aligned Teams: SQL knowledge fosters better collaboration with engineering and data teams, ensuring that everyone is aligned on data-driven objectives and strategies. #ProductManagement #SQL #DataDriven #TechSkills #Efficiency #Collaboration #DataAnalysis #Product #ProductDesign

🔓𝐔𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐃𝐚𝐭𝐚: 𝐖𝐡𝐲 𝐄𝐯𝐞𝐫𝐲 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐋𝐞𝐚𝐝𝐞𝐫 𝐍𝐞𝐞𝐝𝐬 𝐒𝐐𝐋 𝐒𝐤𝐢𝐥𝐥𝐬! 💡 In the world of product management, data is king. Understanding user behaviour, tracking product performance, and making informed decisions all hinge on the ability to analyse data effectively. This is where SQL (structured query language) comes into play. 𝐖𝐡𝐲 𝐒𝐐𝐋 𝐌𝐚𝐭𝐭𝐞𝐫𝐬: 👉Dive deep into your data to find trends, patterns, and opportunities that might otherwise go unnoticed. 👉Support your strategies with solid evidence, not just gut feelings. 👉Communicate complex data concepts to stakeholders in a way that they will understand. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐦𝐮𝐬𝐭-𝐡𝐚𝐯𝐞 𝐒𝐐𝐋 𝐬𝐤𝐢𝐥𝐥𝐬: ✅𝐁𝐚𝐬𝐢𝐜 𝐪𝐮𝐞𝐫𝐢𝐞𝐬: The building blocks of SQL, like SELECT, FROM, WHERE, GROUP BY, and ORDER BY. ✅𝐉𝐨𝐢𝐧𝐬: Connecting different tables to get a complete picture of your data. ✅𝐀𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐢𝐧𝐠 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬: Summarise your data with functions like SUM, AVG, COUNT, MIN, and MAX. ✅𝐒𝐮𝐛𝐪𝐮𝐞𝐫𝐢𝐞𝐬: Nested queries to filter and aggregate data in a more complex way. By embracing SQL, product managers can enhance their ability to make data-driven decisions, collaborate effectively, and drive product success. Let's harness the power of data to build better products! 📊 Repost ♻️, Share your thoughts below! 👇 #productmanagement #productmanager #product

Valuable insights by Harvard Business Review highlighting the critical role of a Data Product Manager in the program success. This role involves overseeing cross-functional product development and deployment, managing a diverse team with the necessary skills, and effectively communicating with business leaders impacted by the model and its associated programming. A proficient Data Product Manager must possess knowledge of domain-specific intricacies and be well-versed in Data Engineering operations. #iwork4dell #DataProductManagement #DataStrategy #DataEngineering

5 lessons data teams can apply from product management (to 10x their impact): 1. no data is more important than the qualitative data you get from real life users 2. start with the pain point & desired end result, not the technology 3. ship fast in increments, learn, then iterate 4. know that there are finite resources (money, time, labor) and it’s your job to prioritize what gets built and why 5. go-to-market strategy is just as important for data teams, it just looks different. Think through adoption, objection-handling, and clear value props for your data products. Spending time studying & applying product thinking is a huge differentiator. It’s how you make sure all the effort you put into technical solutions is actually appreciated and useful! #dataproduct #dataengineer #dataanalyst #datascience

🚀 Product management isn’t just about big decisions and implementation. A huge part of our role is understanding and interpreting data. 📊 You can have the most creative ideas, but without data, you're flying blind. Data helps us make informed decisions, spotting patterns, trends, and insights that shape our strategies. Whether it's tracking user behavior, analyzing market trends, or evaluating performance metrics, data is our best friend. But here's the kicker: raw data isn't enough. The magic happens when we interpret it correctly and apply those insights meaningfully. This is where 'data literacy' becomes key. Let data be your compass and guide your decision-making process. 🌟 P.S. Fellow Data PMs what does Data literacy mean to you? #ProductManagement #DataDriven #DataLiteracy

Data Analysis Skill for Product Managers: The three most important skills in my opinion every Product Manager should possess are: 1. Understanding customer problems: Empathy is key to building products users love.  2. Prioritization: Juggling resources and features requires focus.  3. Data Analysis: The skill that empowers the above two. While the first two are widely recognized, data analysis is often an under-developed skill, but it plays a transformative role: Data speaks volumes about your users/product: It goes beyond assumptions, revealing usage patterns, preferences, and pain points. You build products that solve real problems, not imagined ones.  Keeps you ahead of the curve: Analyzing competitor strategies and market trends allows you to anticipate challenges and identify opportunities before they become problems.  Ultimate scorecard: It tracks product performance, identifies improvement areas, and quantifies your decisions' impact. Make data-driven changes, not guesses.  Bridges the communication gap: Translate complex data into clear narratives that resonate with stakeholders and teams. Numbers are powerful persuaders. How You Can Get It:  Traditionally, product decisions were based on gut feeling. Data analysis injects a healthy dose of objectivity. Data can seem overwhelming, but there are plenty of resources available online! While Excel is important, consider exploring data analysis tools like SQL and data visualization software to enhance your skill set. How Data Analysis Can Help You:  Backing your gut with data: Make informed choices that drive product success.  True user champion: Data empowers you to advocate for your users and their needs truly.  Valuable asset: The ability to analyze data makes you a valuable asset, fostering collaboration and innovation. #productmanagement #datadriven #insights #success #careerdevelopment 

Why Data Expertise is a Game-Changer for Product Managers In today’s product-driven world, being a data-savvy product manager isn’t just a bonus—it’s essential. Here’s why mastering data can elevate your role: 1. Better Customer Insights: Data helps you really understand your users. Instead of guessing, you can pinpoint what customers love (or don't) and tailor features accordingly. Think about using real-time analytics to spot trends in user behavior—suddenly, your product roadmap is built on actual needs, not assumptions. 2. Informed Decision-Making: Ever had to choose between two features? Data takes the guesswork out. With A/B tests and performance metrics, you can confidently prioritize what’s working and scrap what’s not. 3. Measuring Success: You can’t manage what you don’t measure. Knowing your KPIs—like churn rate or customer lifetime value—helps track success and guides where the product should head next. 4. Cross-Team Collaboration: A solid understanding of data means you can speak the same language as engineers and data scientists. You can align on goals and work together more efficiently. 5. Mitigating Risks: Data doesn’t just help build great products, it also catches problems early. By spotting trends or anomalies, you can tackle issues before they escalate. In the end, having data expertise allows product managers to make strategic, impactful decisions. It’s not just about creativity—it's about using insights to build better products, faster. #ProductManagement #DataDriven #DataAnalytics #TechInnovation

📢 Exciting News! 🚀 🌟 FREE Two-Week Trial 🌟 for the Data Product Management - Grow Your Career course! Are you ready to transform your career and make a lasting impact in your organization? Now’s your chance! We’re offering a limited-time FREE two-week trial of our popular course, Data Product Management: Grow Your Career. 🎓 🔑 Why Enroll? • Gain the skills to manage data products effectively and lead data-driven initiatives • Learn how to apply product management principles to data products • Drive organizational transformation through strategic data insights • Enhance your career with a valuable certificate of completion 🗓 What You’ll Get: • Hands-on experience in building data products • Access to expert-led modules on Data Product Management • Practical activities designed to help you succeed • Support from a vibrant community of learners and professionals 💡 Whether you’re a Product Manager, Data Manager, or someone looking to upskill, this course is for YOU! 🎯 Take the First Step to Elevating Your Career — enroll in the free trial today! 👉 Click here to sign up: https://lnkd.in/g3HE8sRV Feel free to share this with your network, and let’s grow together! #DataProductManagement #FreeTrial #CareerGrowth #ProductManagement #DataDriven #DataAsAProduct #Upskill

𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗜𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗥𝗲𝗹𝗶𝗲𝘀 𝗢𝗻 𝗮 𝗖𝗼𝗺𝗯𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗩𝗮𝗿𝗶𝗼𝘂𝘀 𝗦𝗸𝗶𝗹𝗹𝘀 𝗧𝗵𝗮𝘁 𝗔𝗿𝗲 𝗜𝗻𝘁𝗲𝗿𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 Some skills are interconnected, you need each other to survive in your main skills. And one of these connected is Data Analytics As a product manager, understanding data is crucial for making smart decisions and creating products that people love. Here's how data helps: ✅. Making Smart Plans Data helps product managers come up with smart plans for their products. By looking at information about how people use products, what they like, and what they don't, product managers can make plans that make sense for customers and the business. ✅. Creating Products People Want Data shows product managers what customers want. By looking at data, product managers can see what features are popular and what needs improvement. This helps them create products that people want to use. ✅. Making Things Better Product managers use data to make products better over time. By looking at how people use products and listening to their feedback, product managers can make changes to improve them. This could mean fixing bugs, adding new features, or making things easier to use. ✅. Deciding What to Do Next Data helps product managers decide what to do next with their products. By looking at information about how products are doing, product managers can figure out what's working well and what needs to change. This helps them make smart decisions about what to do next. ✅. Making Products Valuable Ultimately, the goal of product management is to make products valuable for customers and the business. Data helps product managers figure out how to make products better, how to reach more people, and how to make sure products are worth using. In short, data is a super important tool for product managers. By using data to make smart plans, create products people want, make things better over time, decide what to do next, and make products valuable, product managers can create products that make a real difference. Tell me, which other skills do you need to do better in your career? #productmanagement #data #linkedlnforcreator #3mtt