How can you make your BI presentation more relatable with real-world examples?

Não sou essencialmente contra este tipo de abordagem, porém, ressalto que deve se ter muito cuidado para não transformar análise de dados com foco em resolver problemas de negócios, em contos de fadas. É necessário ter comedimento e bom senso, para não exagerar, e terminar tratando os envolvidos de forma infantil. Em primeiro lugar, sempre, a razão fria.

To make your BI presentation more relatable, we tell stories and use analogies. [1] Sequential paths around data: Don't just present charts and numbers. Prepare a compelling story with a beginning, middle, and end, using data as evidence to support your narrative. [2] Real-world Connection: Compare data trends to everyday situations or experiences your audience can easily understand. For instance, if your data shows a sudden surge in product purchases, liken it to a Black Friday shopping craze to make it relatable.

The best way to make a BI presentation more lively is by telling a story. We can use familiar examples to engage with audiences . Please just keep the presentation simple but not an average one. Understanding the audience and what they actually want to know

"Unleashing the Power of BI: Crafting Compelling Narratives for Your Data" In the world of Business Intelligence (BI), data speaks volumes, but a relatable story can make it resonate. 📊✨ Explore the art of incorporating stories and analogies into your BI presentations. Learn how weaving a narrative around your data not only captures attention but also facilitates a deeper understanding of complex insights. Dive into real-world examples and discover the magic of transforming raw data into compelling stories that drive decision-making. 🚀 #BusinessIntelligence #DataStorytelling #Analytics

O fato de uma ferramenta ser excelente para BI não significa que vai ter a mesma utilidade para outros fins. Vejo empresas usando soluções de DataViz para monitoramento, por exemplo. O cuidado é não fugir do foco.

Having a presentation of your data findings and insights can be easily understood by incorporating STORYTELLING. How can you craft your story? 1. Identify the Problem: Start From The Foundation 2. Define goals and Objectives: Set a Plan 3. Apply The Kiss Principle Design: Design With Clarity Is Crucial 4. Focus On The Key Point: It Is Very Important To Focus On The Key Point In Your Presentation Deck 5. Understand The Audience Needs: You Need To Know What The Audience Is Expecting Of You. 6. Incorporate Feedback: Regular Updates And Feedback Develop A Connection With Stakeholders. In summary, crafting a story starts with the problem, process and solutions. Also meeting the needs of your audience makes the story a good tale.

Making your Business Intelligence (BI) presentation more relatable with real-world examples is a powerful way to engage your audience and enhance the understanding and relevance of your data insights. Here are some strategies to incorporate real-world examples into your BI presentation: Understand your audience Use case studies Storytelling with your data Analogies and Metaphors Visual Examples Interactive elements Personalization Local or current events Before -and -after scenarios Customer Testimonials Industry Benchmarks Scenarios Lessons Lesson learned End with actionable takeaways Remember, the key is to connect the data to something tangible or familiar to your audience, making it easier for them to grasp complex information.

Well having worked in the Insurance, Utility Industry, Food and Clothing Retail, Health Care and Transportation. I can certainly find Understanding Each Particular Business line imperative for making a BI presentation relatable to each audience. Thus find analogies and examples for me is fairly easy because I know what each particular want to know and want get from each case. More importantly there has to be an objective, a measurement and a value for a presentation.

Well having worked in the Insurance, Utility Industry, Food and Clothing Retail, Health Care and Transportation. I can certainly find Understanding Each Particular Business line imperative for making a BI presentation relatable to each audience. Thus finding analogies and examples for me is fairly easy because I know what each particular want to know and want get from each case. More importantly there has to be an objective, a measurement and a value for a presentation.

If you think about any famous politicians, they often speak using simple, beginner-level vocabularies and straightforward language at a slow pace so that the general public can easily understand and trust their words. The same principle applies in the world of data analytics. [1] Speak Their Language: Use examples that your audience can easily relate to. If you're presenting to a team in the healthcare industry, draw parallels between patient care patterns and your data insights. [2] Highlight local successes: If applicable, showcase case studies or success stories from within your own company or region. This adds a sense of ownership and tangibility.

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Another way is to use provocative industry examples to goad the audience into action. Examples are - using Blockchain to tokenize real world assets to create new markets & analyze the customer offtake, or using IoT data from vehicles to identify customer cohorts you don't need (unprofitable, bad for the brand etc). Many customers are reading the same articles as we are, so to excite them, examples from other industries applied to theirs would be very insightful.

Se estamos tratando de aplicar análise de dados para solução de problemas de negócios, precisamos ter em mente que os interessados, independentemente do grau de maturidade no uso de dados para processos de decisão, têm uma visão empírica da situação. O papel da análise de dados e o de corroborar tal visão, ou prová-la equivocada, mostrando outro viés. São os números que mostram isto. É válido fazer analogias mencionando casos análogos ou semelhantes, mas é preciso ter cautela e foco na realidade.

Create visuals that tell a story. If your data reveals a shift in customer preferences, show it through a "before and after" infographic, visually highlighting the change. - Analysts also Utilize infographics, maps, data animations, and interactive dashboards to engage their audience and bring data to life visually. - We encourage audience engagement with your visuals by using tools such as filters, drill-down options, and real-time data updates.

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Whenever possible, I like to incorporate what-if scenarios or simulations. It is a powerful way to make data more relatable and engaging. For example, you can show how changes in currency, market trends, customer behavior, or supply chain disruptions could affect sales or profitability. You can use a BI tool and let your audience change certain variables (like pricing, market size, or costs) to see how these adjustments could impact the business. It will make the data exploration dynamic and engaging.

As tecnologias mais modernas de Business Intelligence, como Tableu, Qlik Sense e Power BI, por exemplo, oferecem ao usuário o aspecto da interatividade desde sempre. Isto não é exatamente algo novo. O ponto que deve ser debatido é o do papel da empresa em educar seus colaboradores na utilização de tais tecnologias, evoluindo nos aspectos mais básicos do cotidiano, e com isto, induzindo uma certa aceleração no processo de amadurecimento geral na utilização de Inteligência de Negócios nos processos de gestão da empresa. Não importa a idade, o cargo ou o tempo de casa do colaborador: todos podem e devem se aperfeiçoar no uso da tecnologia.

"Speaking the Language of Data: Crafting Tailored BI Messages" Data may be universal, but the way you present it shouldn't be one-size-fits-all. 🌐🗣️ Explore the importance of tailoring your language and tone in BI presentations. Learn how understanding your audience and adapting your communication style can turn data jargon into relatable insights. Dive into practical tips for crafting messages that resonate across diverse stakeholders. 📊🎯 #DataCommunication #BIInsights #AudienceEngagement

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Vou trazer aqui um ponto fora da caixa e que talvez possa contribuir com tua caminhada aí! Vem comigo para 600 - 800 A.C., pra gente falar de como se dava a Educação clássica dos cidadãos Gregos. Existiam 2 pilares: Trivium e Quadrivium, para esse post, vamos focar no primeiro. Trivium significa "3 rotas" ou "3 caminhos": 1 - Gramática: Capacidade de compreensão das situações do cotidiando 2 - Lógica: Capacidade de estruturar pensamentos com lógica e coerência 3 - Retórica: Capacidade de expressar esses pensamentos. Perceba que não há nada de novo no mundo! É apenas o capitalismo se reinventando! rs Compreenda necessidades -> Estruture argumentos coerentes e com lógica, baseada nas necessidades -> Conte uma história Te ajudou? Tmj!

💬 Comedimento Analítico: Manter uma abordagem equilibrada é crucial. Evitar transformar análises de dados em contos de fadas é essencial. As análises devem corroborar a visão empírica, trazendo números para sustentar ou refutar, mantendo sempre a razão em primeiro lugar.