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Author: Admin | 2025-04-28
Interests, and questions. Business managers seek decision-making insights, while data scientists focus on model validation and optimization. Utilize surveys, interviews, or feedback sessions to glean insights and customize content to meet audience expectations effectively. Dentro do aspecto 'conheça seu publico' vejo que o comportamento mais importante é entender de forma genuína quais são as principais dores daquele publico e onde de fato o modelo de mineração de dados pode ajudar. Em geral, as pessoas só se engajam de fato com aquilo em que elas enxergam propósito, razão de ser, valor/retorno gerado. Importante também adaptar sempre a linguagem ao formato em que aquele publico terá mais facilidade de entender/absorver o conteúdo que está sendo compartilhado. Data Mining use cases that I had the opportunity to work with -1. Using financial and CRM data to find potential clients for Financial Sales Advisors.2. Analyzing structured and unstructured company data to enhance processes and intelligence.3. Mining internal and external documents to create structured data for further analysis.4. Making emails, documents, and other data easily searchable across the organization.5. Utilizing social media and marketing data to create customer profiles for personalized marketing strategies.These use cases are guided by clear business growth models, but understanding their full financial impact requires ongoing estimation and collaboration with stakeholders. Communicating complex data mining models requires simplification and relevance for stakeholders. 📊 Utilize visualizations, analogies, and clear language to convey key concepts effectively. Avoid jargon and provide explanations for unfamiliar terms. By focusing on meaningful outcomes and using accessible language and examples, stakeholders can better understand and engage with the models presented. 🚀 Elevating Communication on Data Mining Models: Simplify & Engage! 💡💼To engage stakeholders on data mining models:1️⃣ Tailor Your Message: Speak their language, address their needs.2️⃣ Simplify Concepts: Break down jargon, use visuals.Simplify models, engage stakeholders, succeed! 💪🔍✨#DataMining
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