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📊 𝗨.𝗦. 𝗘𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀 & 𝗣𝗼𝗹𝗹𝗶𝗻𝗴: 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗻𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲? 🇺🇸 The recent U.S. elections have sparked a fresh debate around the accuracy of polling methods. As with previous cycles, many pre-election polls missed the mark—sometimes significantly—when compared to the final results (e.g., the Selzer poll in Iowa). This discrepancy has led many to question the methodologies used in political polling today. 🤔 🔍 𝗦𝗼, 𝘄𝗵𝗮𝘁’𝘀 𝗰𝗮𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝗽𝗼𝗹𝗹𝗶𝗻𝗴 𝗶𝗻𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝗶𝗲𝘀? Common factors include: - 📉 𝗦𝗮𝗺𝗽𝗹𝗶𝗻𝗴 𝗕𝗶𝗮𝘀: Reaching a truly representative sample is harder than ever due to declining response rates and demographic shifts. - 📊 𝗩𝗼𝘁𝗲𝗿 𝗧𝘂𝗿𝗻𝗼𝘂𝘁 𝗩𝗮𝗿𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Enthusiasm or last-minute changes can drive unexpected turnout from specific groups. - 🗣️ 𝗦𝗼𝗰𝗶𝗮𝗹 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗕𝗶𝗮𝘀: In certain contexts, voters might not express true preferences to pollsters. 💡 𝗖𝗮𝗻 𝗔𝗜 𝗵𝗲𝗹𝗽 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗲𝘀𝗲 𝗶𝘀𝘀𝘂𝗲𝘀? There’s potential. AI and machine learning could enable more nuanced data models, 𝗰𝗮𝗽𝘁𝘂𝗿𝗶𝗻𝗴 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝗮 𝗯𝗿𝗼𝗮𝗱𝗲𝗿 𝗿𝗮𝗻𝗴𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮, including social media sentiment and historical trends 📜. Additionally, AI could help identify hidden correlations that traditional methods overlook, potentially improving accuracy. 🚀 The path forward may be a blend of advanced AI-driven analysis combined with innovative polling approaches to better capture the complexities of voter behavior. 🤔 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸? Can AI make a difference in polling accuracy, or are traditional methods here to stay? Share your thoughts below! 💬 #elections #polling #AI #dataanalytics #machinelearning #USpolitics   Photo Designed by Freepik (www.freepik.com)

💡 Great insights gained at #ITCORNER Mangers Meeting! Our CEO Bartlomiej Glowacki and Konrad Walczyk had the pleasure of listening to Bartosz Majewski, who offered valuable perspectives on today’s IT market. 💻 Do you have any thoughts on this topic? 👉 Share them with us! #ITCORNER

🔁 Sharing insight from our CEO, Bartlomiej Glowacki: Just like the debates over political candidates, discussions around the top data warehouse technologies—𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞🏔, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬✨, and 𝐀𝐳𝐮𝐫𝐞 𝐒𝐐𝐋 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 ☁️—spark plenty of passion and heated opinions. With each platform offering its unique strengths, 𝐢𝐭 𝐚𝐥𝐥 𝐜𝐨𝐦𝐞𝐬 𝐝𝐨𝐰𝐧 𝐭𝐨 𝐰𝐡𝐚𝐭 𝐚𝐥𝐢𝐠𝐧𝐬 𝐛𝐞𝐬𝐭 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧’𝐬 𝐠𝐨𝐚𝐥𝐬. What's your choice for the ultimate data warehouse? 🏆 #DataWarehouse #Snowflake #Databricks #AzureSQLDatabase #BusinessIntelligence #Data

📊 𝐃𝐫𝐨𝐰𝐧𝐢𝐧𝐠 𝐢𝐧 𝐄𝐱𝐜𝐞𝐥 𝐟𝐢𝐥𝐞𝐬 𝐚𝐧𝐝 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐝𝐚𝐭𝐚? Discover how a centralized data warehouse can transform your data chaos into actionable insights and fuel business growth! 🔍📈 A 𝐝𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 is essential for organizations aiming to fully leverage their data. Serving as a 𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲 🏢, it consolidates data from diverse sources like CRM and ERP, providing a 𝐬𝐢𝐧𝐠𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞 𝐨𝐟 𝐭𝐫𝐮𝐭𝐡 🔍. This not only enhances data quality and accuracy but also enables companies to make 𝐭𝐫𝐮𝐬𝐭𝐞𝐝, 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 📈. With a data warehouse, organizations benefit from 𝐟𝐚𝐬𝐭𝐞𝐫 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, allowing decision-makers to respond to trends swiftly. Enhanced 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 🔒 help protect sensitive information and ensure regulatory compliance. Data warehouses are also designed for 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, particularly with cloud solutions that adapt to changing business needs. Additionally, they support 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐀𝐈 🤖, laying the groundwork for predictive insights. 𝐖𝐞𝐫𝐞 𝐲𝐨𝐮 𝐞𝐯𝐞𝐫 𝐚𝐟𝐟𝐞𝐜𝐭𝐞𝐝 by the overwhelming 𝐄𝐱𝐜𝐞𝐥 dependency? #DataWarehouse #DataAnalytics #BigData #BusinessIntelligence #AI #MachineLearning #DataSecurity #BusinessGrowth #AdvancedAnalytics #Azure #DataBricks #AzureData #ADF #MicroStrategy

Our CEO, Bartlomiej Glowacki, recently presented the ITCORNER Quarterly HealthCheck report, receiving fantastic feedback! 📊 Are you curious about which tool he used for these insights? #BusinessIntelligence #DataVisualization #ITCORNER #MicroStrategy

MicroStrategy is moving ahead of the pack once again. We are proud to be their partners and work with such a great tool!