Sam Hullegien

Weekend Musing 🧐 Why does weekend feel like a coffee break We have so many examples like this image in our daily life but still we have data management / governance problems 🤔 What do think? how can we simplify this for our organizations I prefer to use the term Data Enablement instead of Data Literacy Thanks to DAMA NL for this excellent image Peter van Nederpelt Barbara K. Galvacs, CDMP® #metadata #datagovernance #datamangement #dataculture #dataliteracy #dataenablement

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Did I quit my own 30-Day Alteryx Challenge? No. Shifted priorities? Yes. And I feel awful about it. Let me explain. I made this video two weeks ago. At the time, I was devoting most of my time to getting my new website up and running. Also I had quite a lot of business and clients to close out on the old platform. I continued to work on that for the rest of the month. Yes, I've made some halfhearted content efforts, but nothing much. To those few who were following the Alteryx Advanced Cert challenge, I will get back to it soon. The site and what follows is going to be awesome. In the meantime, there's always guilt and shame when you can't follow through on a promise or a goal. Whether the promise was to someone else, or to yourself. But when you figure out for certain that you have a higher priority, and only time to devote to the number one goal, you shift fires. I've made my peace with it. Back with better things soon. How do you shift priorities? 🪖

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🎯 Imagine you want to create an age-targeted group of Dutch people for your new healthy food product and launch an online marketing campaign for them. How can data help you in this scenario? 📊 By leveraging valuable data from CBS (Statistics Netherlands) on online behavior: ◾ People aged 25-35 search for health information more than average, making them an ideal audience for our product. ◾ This group listens to online music 20% more than average, presenting a cost-effective and efficient opportunity to reach them through music streaming platforms. 🎶 In below you can find Python code I used to connect to the CBS API and gather these insights for free. 🔗 CBS Link: https://lnkd.in/eyQ8vg-Y 🔗 My Website: https://farnamdata.com/

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Well explained. That’s what an end-to-end data product looks like. It starts with data generation from products, then data is pulled or pushed to the platform and warehouse, models and dashboards are built, and finally, the data product is ready to be consumed by decision-making bodies. #dataengineering

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🚀 DE Interview📢Data Imputation⌛1-Min-Read 🧔‍♂️Interviewer: Can you explain how you improved data accuracy in your project, leading to significant business impact? 👶Candidate: In our project, we were facing issues with inaccurate business results due to missing values in our raw data layer. We knew which records were missing values and had a clear understanding of what those values should be. To tackle this, I developed a data imputation framework and created a new layer as a parallel pipeline. Here’s how I approached it: Data Imputation: I designed a framework that identified missing values and filled them with the appropriate data. This involved analyzing patterns and ensuring the imputed values were accurate and relevant. Parallel Pipeline: I set up a parallel pipeline to compare the imputed data with the actual data. This allowed us to validate the effectiveness of the imputation process. Comparison and Validation: By running the imputed data through the pipeline, we could see that the imputed data was much closer to the actual results compared to the raw data. Production Implementation: Due to the significant improvement in data accuracy, the team decided to move my imputation code into production. This ensured that business results were more accurate and reliable. By implementing this data imputation framework, we achieved several impacts: Increased Accuracy: The imputed data significantly reduced discrepancies, resulting in more accurate business insights. Improved Efficiency: Automating the imputation process saved time and resources, allowing the team to focus on more critical tasks. Enhanced Reliability: The production implementation of the imputation framework ensured consistent and reliable data quality. Real-time Validation: The parallel pipeline provided real-time insights, helping us quickly identify and address any data issues. Summary: 1️⃣ Problem: Inaccurate business results due to missing values in raw data. 2️⃣ Solution: Developed a data imputation framework and parallel validation pipeline. 3️⃣ Impact: Increased accuracy, improved efficiency, and enhanced data reliability. #DataEngineering #DataImputation #DataAccuracy #Automation #Python #DataValidation #TechInnovation #BusinessIntelligence #DataQuality #Efficiency

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Be nice to your #data engineer today. They help you stay afloat! 5 tips for thriving collaboration and smooth sailing in your data projects: (All credits to Marijn Markus for the image!) 1. Send Thank You Notes: ↳ Quick appreciations. ↳ Send after meetings or completed tasks. ↳ Boosts morale instantly. 2. Structured Feedback: ↳ Use SBI: Situation, Behavior, Impact. ↳ Keeps feedback helpful and specific. ↳ Builds understanding and respect. 3. Clarify Your Work Style: ↳ Share how you work best. ↳ Helps people understand your preferences. ↳ Improves collaboration. 4. Encourage Skill Sharing: ↳ Host quick learning sessions. ↳ Team members teach a skill. ↳ Enhances team expertise. 5. Celebrate Small Wins: ↳ Acknowledge daily achievements. ↳ Quick shout-outs in stand-ups. ↳ Motivates and maintains morale. Can you relate to the image? ♻️ Repost to your network Follow Gilbert Eijkelenboom for Data Storytelling tips

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Vector databases are key in augmenting innovation through AI. I’m using these to power various use cases. Great 60-second breakdown of the technology by the vector database O.G.’s at Weaviate

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AI is here. Data is everywhere. Decisions are harder than ever. There’s a way to cut through the noise. 👇 In March 2024, I walked into the Power BI Gebruikersdag (Power BI Gebruikersgroep) at Jaarbeurs, Utrecht, and left inspired. The energy, the shared passion for data, and the genuine connections I made left a lasting impression. I made myself a promise: Next year, I want to be on that stage. Today, I can share that I’ve been accepted as a speaker for Power BI Gebruikersdagen 2025! My session, “How A.R.T. helps you to communicate data”, is my signature keynote. Topics: → A.R.T. is about attention, recognition, and takeaway → There is psychology behind data decision-making → The critical role of trust in the AI-driven data age And prepare to laugh as well 😉 I’m ready to empower you to turn chaos into clarity, build trust, and make actionable insights your superpower. Will I see you there? Follow me to learn more about my story about data, visualizations, storytelling, and AI. Henny Speelman

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𝗦𝗵𝗼𝘂𝗹𝗱 𝗪𝗲 𝗗𝗶𝘀𝘁𝗶𝗻𝗴𝘂𝗶𝘀𝗵 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 𝗮 𝗕𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗮𝗻𝗱 𝗮 𝗕𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? If you search online for "What does a BI Developer do?" you'll typically come across descriptions like: "𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘪𝘯𝘨, 𝘥𝘦𝘱𝘭𝘰𝘺𝘪𝘯𝘨, 𝘢𝘯𝘥 𝘮𝘢𝘪𝘯𝘵𝘢𝘪𝘯𝘪𝘯𝘨 𝘉𝘐 𝘪𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦𝘴, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘥𝘢𝘵𝘢 𝘷𝘪𝘴𝘶𝘢𝘭𝘪𝘴𝘢𝘵𝘪𝘰𝘯 𝘵𝘰𝘰𝘭𝘴, 𝘥𝘢𝘵𝘢 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴, 𝘢𝘯𝘥 𝘳𝘦𝘱𝘰𝘳𝘵𝘪𝘯𝘨 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦." However, those of us working in the field as BI Developers know that the role encompasses much more than that. In reality, BI Developers often wear multiple hats, taking on responsibilities that span across business analysis, data modelling, report development, and even data engineering. Given the breadth of these responsibilities, it might be time to consider introducing the role of a BI Engineer. But what exactly would be the distinction between a BI Developer and a BI Engineer? 𝗕𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿: 𝗧𝗵𝗲 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 A BI Developer would primarily focus on meeting reporting requirements. Their expertise lies in understanding what visualisations and data will best satisfy business needs. They work closely with stakeholders to ensure that the reports are not just functional but also user-friendly, focusing on UI/UX, choosing the right KPIs, and ensuring accurate data interpretation. The BI Developer’s role is heavily centred on the content of reports, from the look and feel to the strategic insights they provide. 𝗕𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁 On the other hand, a BI Engineer would take charge of the underlying data architecture. They would be responsible for designing and maintaining semantic models, ensuring that the right metrics and measures are available for analysis. This role would also involve refining data models for performance optimisation and managing security implementation at the model level. Additionally, BI Engineers work closely with the business, interpreting business requirements and translating them into technical specifications that ultimately guide the creation of semantic models to support the reporting needs. The BI Engineer would be the technical backbone, ensuring that the data infrastructure is robust, scalable, and capable of supporting complex business requirements. 𝗧𝗵𝗲 𝗖𝗮𝘀𝗲 𝗳𝗼𝗿 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻 As data environments grow more complex, it's increasingly difficult for one role to manage both front-end and back-end business intelligence tasks. By introducing a distinct BI Engineer role, organisations ensure each area is handled with specialised expertise. This allows BI Developers to focus on delivering actionable insights, while BI Engineers maintain the data foundation and infrastructure. What do you think? #BusinessIntelligence #BIEngineer #BIDeveloper #DataModelling #DataAnalytics #DataInfrastructure #TechRoles #DataArchitecture #BusinessInsights

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💥 CONTEST RESULTS: GIFTS FOR EVERYONE! 💥 📚 Two weeks ago, we launched a review contest for my new book "Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards" and got so excited about showering you with gifts and bonuses that we slightly overcomplicated the mechanics. We admit it! 🤩 BUT! We're used to turning mistakes into advantages, so EVERYONE who participated gets gifts, no exceptions! 1. The review contest now runs forever! Leave a review on Amazon and get a Power BI guideline with designed charts and dashboard templates as a gift (send us your screenshot). 2. And for those who missed the contest, we're attaching the book trailer with brief information about our wonderful book, which you can still buy on Amazon (drop a comment to get the link). 3. Thanks to everyone who's already participated, check your DMs for the digital copy of the book. 🔥 Thanks to our community for teaching us about simplicity. Sometimes the best visualization is one clear chart, and the best contest is when everyone gets gifts!

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You have your KPI metadata sorted like a pro to scale your Tableau #KPI analytics? Then this is for you: #PowerKPIs Metadata Formatting ❤️ Excited to share a new feature Merlijn Buit and I have been working on this week and that will be available soon. It's easy like that: 1️⃣ Add your metadata (e. g. number formats, decimals, chart types) to the view 2️⃣ Map your metadata fields to the KPI attributes 3️⃣ Save and enjoy! Infotopics | Apps for Tableau Richard Van Wijk Siebe Grijpma

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𝗦𝗼𝗿𝗿𝘆 𝗳𝗼𝗹𝗸𝘀. 𝗜 𝗰𝗮𝗻'𝘁 𝘀𝗼𝗹𝘃𝗲 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀! Maybe it's time to state this in a very direct way: I am not on LinkedIn to solve your data problems. So I'm not pitching you any freelance data consulting services (Don't worry). This is a service that is performed exclusively for one company. 𝗕𝘂𝘁 𝘁𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝗼𝘁𝗵𝗲𝗿 𝘄𝗮𝘆𝘀 𝗜 𝗺𝗶𝗴𝗵𝘁 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂: 💡Getting started understanding data and why it matters 💡Finding the right ways, companies or persons on your data journey (I have an awesome network) 💡Making data a little less nerdy and little more sexy (Listen to the podcast!) 💡Inspire your stakeholders that there is a benefit in data and AI 💡Make your event memorable with a great talk 💡Help you find a way into a data career (it's fun, believe me) For other issues (as stated above) I can help you find the right people! And yes, especially with data and AI the right people are more important than the tech. PS Not every problem is a data problem, but most problems can be tackled using the 𝗿𝗶𝗴𝗵𝘁 data. * If you are a employee of Frauscher Sensortechnik I can help you in more ways 😉 Photo by Franz Schepers (I put in that messy text 😉) _____________________________________________________ Don’t want to miss my content -> 🔔 (Get connected / click the bell https://lnkd.in/eYduVjNh) Data Ear Candy -> 🎧(Please find my Podcast https://lnkd.in/e2idSjhK Everything else -> 📧 (message me)

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This week, our auditors will delve into the diverse world of data products, gaining insights into how different types are used to drive value in organizations. Understanding the nuances between these products is key to mastering data product management.

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**Charity Run** for my niece.   Looking forward to run the half marathon in Rolde on the 28th of September together with my wife and brother/sisters in law for my niece Manoah, who is in desperate need of a wheelchair-accessible van. Here is their story and a link to donate.   Charity Run “For Manoah Every Day Feels Like a Marathon” Hello! Our names are Anko & Jolanda de Boer, Marrianne Zwarts, Ronald & Riemy Zwarts, and Monique Oosterkamp. On September 28th, we will be running 10 km (Riemy, Marrianne, Jolanda) and 21.1 km (Ronald, Anko, Monique) respectively, for a good cause! And the good cause in this case is a wheelchair-accessible van for Manoah, the daughter of Monique & Gerson Oosterkamp. Their story: We are Gerson and Monique Oosterkamp from Apeldoorn, and we have three children: Boaz (11), Gideon (8), and Manoah (7). Our Manoah had a very difficult start, which led to her developing Cerebral Palsy, among other things. For Manoah, this mainly means that she cannot stand or walk independently, and everything takes extra effort for her. She uses a kind of walker, which we call "Jip." She is also increasingly dependent on her wheelchair. In addition to Cerebral Palsy, she faces other medical challenges, such as feeding problems for which she needs a PEG tube and weak lungs. To continue transporting Manoah and her equipment, it is essential for us to purchase a wheelchair-accessible van. This charity run is a way for us to raise money, alongside various other efforts. How the initiative came about: Until October 2023, I (Monique) had never really run. When I realized that for Manoah, every day is like a marathon—each day costs her about as much energy as a marathon—I was inspired to run a half marathon myself. I just had to start from scratch and "build up" my stamina! Fortunately, I have enthusiastic family members who were willing to join us on this adventure. Just as every day is like a marathon for Manoah, on September 28th, we will run either 10 km or a half marathon! We will participate in the Roldertorenrun in Rolde (Drenthe). We hope you will consider sponsoring us! You can do so by donating via the link. Do you want to donate/sponsor me for the wheelchair-accessible van? You can do this by clicking the underneath link and change the amount.  https://lnkd.in/e86eD72V

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📣 Calling all #investors in the #Netherlands: A fantastic FREE seminar on #impactmanagement is taking place this Wednesday, 16 October at Triodos Investment Management. In addition to learning about best practices in #IMM, you'll get to hear real examples from our very own Nikkie Pelzer and Adam Kybird. Come and join! #impactmeasurement #impactinvesting #sustainablefinance

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Back to work today for the wonderful program 🔥 Data in the Genes' 🔥 in the beautiful Hengelo! During my morning walk towards the town hall, I encountered the 'Bears of Hengelo'🐻 and started thinking about data-driven work and these magnificent bronze bears. Imagine that the Municipality of Hengelo is a company that decides to implement a new market strategy, aimed at attracting a specific target group: bears, in this case a metaphor for customers (residents). The bears (customers) are drawn by two key elements: the displayed food 😋 (the products or services the company offers) and the honey scent of the beehive (the services or advantages the organization provides). Just like Hengelo attracts bears with its attractive environment, a data-driven organization attracts customers by continuously analyzing and utilizing data to improve customer satisfaction, optimize products and services, and tailor strategies to the preferences and needs of the customer, the resident. Every element of the city (or company) works together, driven by data, to provide a holistic and attractive experience that continues to draw both curious and hungry 'bears'. #datainourgenes #dataliteracy #dataliteracyinpractice #BDC #businessdatachallengers #datainformeddecisions #datadriven #data Gemeente Hengelo Business Data Challengers

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De VNSG Themadag AI & Analytics is begonnen! #VNSG #AI #data #innovatie

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