Welche Erfahrungen haben Sie mit einem erfolgreichen BI-Projekt gemacht?

Implantar inteligência de dados em uma empresa envolve: 1. Definir objetivos claros. 2. Avaliar recursos disponíveis. 3. Coletar e organizar dados relevantes. 4. Escolher ferramentas apropriadas. 5. Treinar a equipe. 6. Implementar governança de dados. 7. Analisar resultados e tomar decisões. 8. Melhorar continuamente.

Sempre, entender o problema é fundamental! Vou comentar de um projeto que fiz para atender uma situação pessoal que acabou contribuindo para outras pessoas e empresas. Uma pessoa bem próxima a mim, que trabalha no ramo de educação, tinha uma dificuldade grande em encontrar informações sobre escolas do Brasil como um todo, sempre pesquisava no google e ficava minerando informações... eu vendo essa situação, procurei entender a necessidade (que basicamente era ter informações como: número de alunos, região, status da escola (ativa, fechada), se é particular, estado, cidade e etc)... Continuarei abaixo...

Based on my recent projects using BI analytic software, I have come to a realisation that clear goals, stakeholder alignment, robust data governance and appealing visuals are essential to have successful projects. There is also a need for effective communication and continuous feedback throughout the process adapting to evolving business needs and ensuring success.

A successful BI project begins with laser-focused problem definition and goal setting. Crystallize the challenges you aim to address and the specific, measurable outcomes you hope to achieve. Envision the transformative impact - whether driving sales growth through enhanced customer insights, boosting patient outcomes via streamlined metrics, or igniting operational excellence through KPI monitoring. Clarity in pinpointing the "why" and "what" fuels a strategic roadmap, empowering data-driven decisions that propel success.

Para implementar uma solução de BI, deve-se seguir os seguintes passos: - Identificação e entendimento claro do problema - Avaliar o que se pode fazer com os recursos disponiveis - Tomar decisões - Entregar - Coletar feedback - Ajustar

I love tools but you cant really know what tools are appropriate except you have a good understanding of how they work and what they are capable of. And let's not forget that these tools change over time so keeping up with that is vital. By tools I mean not just the BI tools but also the entities they operate on because how they integrate with different data platforms differs. Other considerations are the volume, velocity and type of data to be used for analysis as these are key considerations for selecting the right tool for the job. An often overlooked consideration is data literacy. We've all heard it, "Can I just get this in Excel?" I love Excel but it cant do everything. Users need to be comfortable exploring other tools too.

Com base no entendimento do problema (que mencionei acima) fui pesquisar fontes de dados e encontrei estas informações no INEP (responsável por censo escolar) e no censo escolar, tinha todas as informações necessárias para atender a necessidade. Baixei essa fonte de dados (com informações de todas as escolas do brasil, seja pública, federal ou particular), modelei estes dados e criei uma interface para consulta usando Power BI. A interface, tive o cuidado de deixar algo parecido com o google, pois a pessoa já era acostumada a pesquisar no google... #pensemnisso

Harness the power of the right tools and methods, tailored to the complexity and volume of your data. From robust data warehouses to agile ETL pipelines, cleansed datasets to integrated models, leverage the optimal blend of technologies to collect, store, process, and visualize insights. Whether through statistical analysis, predictive modeling, or interactive dashboards, choose methodologies that translate raw information into actionable intelligence. Align your arsenal to uncover the hidden gems within your data, empowering informed decisions and propelling your organization toward its objectives.

Start by understanding the specific requirements of your BI project. What are the business objectives? What types of data will you be analyzing? Who are the end-users, and what are their needs? Clear requirements will guide your tool and method selection process.

One key aspect is selecting appropriate tools and methods. Ensure they align with organizational goals, are scalable, and demonstrate a clear return on investment (ROI). Assess the current and future needs of the organization to choose tools that can adapt and grow with the business. Additionally, consider factors such as ease of use, integration capabilities, and support services to maximize the effectiveness of the business intelligence program.

Depois de feito os passos comentados acima, publiquei (online e aberto), pois eram dados públicos. A pessoa testou e começou a utilizar somente essa fonte de pesquisa... foram feitas algumas melhorias com bases em feedbacks da pessoa usuária e o melhor, de outras pessoas que também foram impactadas com essa ferramenta! Hoje, essa ferramenta continua sendo utilizada, já serviu como base para empresas criarem seus próprios visuais mais voltado ao negócio! Esse considero um projeto de BI, que fiz para ajudar em uma situação específica e acabou ajudando muitas pessoas e empresas! É um projeto pequeno, é sim! Mas teve impacto grande! Quer saber mais sobre o projeto? Fico a disposição!

Bring your vision to life through meticulous implementation and rigorous testing. Design, develop and deploy your solution with precision, validating each step to ensure it aligns with project requirements, stakeholder expectations, and success metrics. Proactively resolve any issues, bugs or errors that may arise, leaving no stone unturned in your pursuit of excellence. Whether architecting a data pipeline, streamlining insights into a BI platform, or delivering actionable intelligence through intuitive dashboards and reports, let thoroughness be your hallmark as you transform raw data into a powerful, battle-tested solution that exceeds every benchmark.

Create a detailed implementation plan outlining the tasks, milestones, resources, and timelines for the implementation phase. Assign responsibilities to team members and establish clear communication channels to ensure everyone is aligned on the implementation process.

One helpful step is implementing and testing the solution. Roll out the BI program in phases, ensuring each component is functional and meets user needs. Conduct thorough testing to identify and resolve any issues before full deployment. By validating the solution through testing, you can ensure its effectiveness and reliability, gaining confidence in its ability to deliver valuable insights.

Bring your data-driven journey full circle by effectively communicating and delivering transformative results. Engage stakeholders with compelling presentations that illuminate key findings, insights, and strategic recommendations. Demonstrate how your well-executed solution translates into tangible goal achievement and problem resolution. Extend your impact by providing comprehensive training, documentation, and unwavering support, ensuring end-users harness the full potential of your work. Gather feedback to refine your approach, and measure the monumental impact of your efforts. Like a maestro conducting a symphony, harmonize data, technology, and human capital to orchestrate a resounding success that resonates across your organization.

Effective communication and delivery of results are crucial for justifying investment in a BI program. Regularly share insights and findings with stakeholders, highlighting the program's impact on key metrics and business objectives. Use clear, accessible language to ensure understanding across all levels of the organization. By demonstrating tangible outcomes and value-added insights, you reinforce the importance of the BI program and garner continued support and investment.

Como comentei, depois da entrega, recebi feedbacks para adição de novas funcionalidades e além disso, fui refinando a forma que fiz... melhorando o modelo de dados, melhorando a visualização e navegabilidade, melhorando o nível de detalhes e etc!

Continuously learning and improving is essential for maximizing the value of a BI program. Gather feedback from users and stakeholders to identify areas for enhancement. Invest in training and development opportunities to expand skills and knowledge. Implement iterative improvements based on insights and lessons learned to ensure the BI program remains effective and aligned with evolving business needs. This ongoing process of learning and improvement strengthens the justification for investing in BI.

Embrace a mindset of continuous learning and refinement, recognizing that the BI journey is cyclical. Monitor, evaluate, and update your solution regularly, incorporating emerging data, features, and feedback. Study both successes and failures, extracting valuable insights to propel growth. Stay abreast of evolving BI best practices, adopting innovative technologies and methodologies that elevate your capabilities. Approach each iteration as an opportunity to enhance impact, driving meaningful change through a steadfast commitment to progress. Like a living organism, nurture your BI ecosystem to adapt, thrive and consistently deliver transformational value.

Aqui vou reforçar algo que sempre comento que são as habilidades comportamentais... esse projeto começou depois que eu via a pessoa constantemente fazendo um trabalho repetitivo e observando, via que aquilo não era prático e ágil! Tomei a iniciativa de perguntar, entender a necessidade e de ajudar a otimizar este tempo de pesquisa! Resumindo, aqui a habilidade maior foi a Empatia!

Successful BI project in my opinion: - should Suffice the objective or the project goal and the business need - should meet the expectations of stakeholders - should be implemented within the defined time frame - the cost should be within the budget - should pave way for more BI projects within the organisation

Um projeto bem sucedido é aquele que reduz recurso transacional para análise de dados, boa integração com outras plataformas, facilidade de compartilhamento, sustentabilidade e manutenção do modelo de dados.

Organizations often wait until the last stage of BI project development to consult with their audiences. However, I find its most effective, to think about your audience first as they are ultimately your users. This kind of bottom-up approach allows the project manager, as they collect data about project requirements, to keep in mind the decision-makers who will be using the dashboard regularly for their daily/weekly operations, and therefore to develop a solution that responds well to their needs.