🚧 Análise dos Pedidos na App "Na Minha Rua" em Lisboa (2017-2024) 🏙️ Realizamos juntamente com o NOVA Cidade - Urban Analytics Lab uma análise detalhada dos dados da aplicação "Na Minha Rua", uma plataforma que permite aos cidadãos reportar ocorrências na cidade de Lisboa, relacionadas com a infraestrutura urbana e serviços públicos. 📊 Principais Resultados: Foram registadas 799.822 ocorrências no período de 2017 a 2024, com uma média de 9.300 ocorrências mensais. - A maior parte dos pedidos está relacionada com Higiene Urbana (cerca de 863.964 ocorrências), seguida de Iluminação Pública e Passeios e Acessibilidades. - O bairro de Arroios lidera com o maior número de reclamações (65.790), seguido de Alvalade e Avenidas Novas. - Em termos de dias da semana, segunda-feira é o dia com mais pedidos, enquanto domingo apresenta o menor volume de ocorrências. 📶 🔗 Consulte o dashboard interativo aqui para explorar mais: https://lnkd.in/dnzeNEQC 📌 Fontes: Dados disponibilizados por Câmara Municipal de Lisboa em: https://lnkd.in/d3SiKPBU Aplicação disponível em: https://lnkd.in/dazvhQuE #DataAnalytics #Lisboa #SmartCities #UrbanData #PowerBI #BusinessIntelligence
Sobre nós
O NOVA BI & Analytics Lab é o laboratório da NOVA IMS – Information Management School, powered by Microsoft e BI4ALL, que visa promover, capacitar e contribuir para uma gestão otimizada e eficiente dos dados nas instituições, através da colaboração no desenvolvimento de atividades na área da Business Intelligence para a criação, gestão e transferência de conhecimento, bem como a tomada de decisão objetiva baseada em dados. Objetivos: • Apoio ao desenvolvimento de soluções de Business Intelligence com o objetivo de transformar os dados das instituições em informação para suporte à tomada de decisão; • Suportar a correta integração e disponibilização de dados de múltiplas fontes; • Gestão do processo de governança dos sistemas de informação; • Desenho e implementação de ferramentas de reporting, tais como dashboards, que incorporam informação descritiva e apoiam decisões críticas; • Promoção de instituições e tomada de decisão data-driven; • Formação e capacitação em BI e analítica de dados. PG: https://www.novaims.unl.pt/pt/ensino/cursos/pos-graduacoes-e-mestrados/pos-graduacao-em-business-intelligence/ MSc: https://www.novaims.unl.pt/pt/ensino/cursos/pos-graduacoes-e-mestrados/mestrado-em-gestao-de-informacao-com-especializacao-em-business-intelligence/ email: [email protected]
- Site
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https://www.novaims.unl.pt/en/nova-ims/labs/nova-business-intelligence-analytics-lab/
Link externo para NOVA BI & Analytics Lab
- Setor
- Atividades dos serviços de tecnologia da informação
- Tamanho da empresa
- 2-10 funcionários
- Sede
- Lisboa
- Tipo
- Empresa privada
- Fundada em
- 2023
- Especializações
- Business Intelligence, Analytics, Data Science e Information Management
Localidades
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Principal
Campus de Campolide
Colégio Alamda Negreiros 102
Lisboa, 1070-312, PT
Funcionários da NOVA BI & Analytics Lab
Atualizações
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Exciting day at NOVA IMS Information management school The Nova Innovation&Analytics Lab, coordinated by Guilherme Victorino hosted a Design Thinking session, bringing together the teams from NOVA BI & Analytics Lab and IAPMEI. This session was an integral part of our collaborative BI project, helping us to define ideas and requirements for the solutions we are developing together. #Innovation #DesignThinking #BusinessIntelligence #Collaboration #NOVAIMS #IAPMEI
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🔍 Local Accommodation (LA) Registrations in Portugal – 2024 Overview 🔍 Data from Turismo de Portugal reveals a significant shift in the Local Accommodation (LA) market in 2024, with a 71.32% YoY decrease in new registrations and a 65.96% drop in the registration in available beds. This decline is larger than the one seen during the pandemic in 2020! Districts like Lisbon (-81.51%) and Faro (-80.42%) were particularly affected, while Guarda experienced a smaller decrease (-7.32%). Different types of accommodation have been impacted to varying degrees. Hostels saw the largest reduction, with a 92.58% YoY decrease, and Standalone homes ("Moradias") also experienced a significant decline of 41.95%. This substantial downturn raises important questions: Is it due to lower demand, less willingness to invest in LA, or is the market finally becoming too saturated? For a detailed view of the data, explore our interactive dashboard: https://lnkd.in/grZtpbqp The data can be retrieved from: https://lnkd.in/eivcPniH #TourismData #LocalAccommodation #Portugal #TravelBI #DataAnalysis #TourismIndustry #SmartTourism #MarketTrends
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National and European Defense is a hot topic during this European elections. Any decisions taken should be ethical, but also data-driven. Take a look at the Portuguese National Defense Open Data Portal that we've helped design, and contributed with some analysis: https://lnkd.in/gCk6rcF3
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Today we were present at the Data with Purpose Summit, explaining how we do Business Intelligence at NOVA IMS Information management school
Morning Wrap-Up: Data with Purpose Summit 🌟 What a compelling morning at the Data with Purpose Summit! Today's sessions showcased groundbreaking ideas and transformative strategies at the intersection of data and societal progress. Stay tuned for more as we continue to explore how data can drive change in our communities and beyond. 🌐 🔗 Watch live here [ https://lnkd.in/dAJt2v58 ] Impresa Miguel de Castro Neto Marinha Portuguesa Manuel Cabugueira ANACOM - Autoridade Nacional de Comunicações Bruno Jardim NOVA BI & Analytics Lab José Oliveira BI4ALL Champalimaud Foundation Manuel Dias Microsoft
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Are people happy with the city? What topics are they talking about? We retrieved a sample of 5.5k tweets written in Lisbon throughout 2022. Then, using pre-trained large language models (see links below), we predicted the sentiment and extracted the main topic of each tweet. We createad this Dashboard to share our findings: https://lnkd.in/dRrfDybH Sentiment Model: https://lnkd.in/g79UrW3j Topic Model: https://lnkd.in/dnNCBmUf #PowerBI #DataVisualization #Huggingface #DashboardDesign #SentimentAnalysis #GeoSpatialAnalysis
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What if you could simulate the potential effects of augmenting the number of trees in Downtown Lisbon's walkability? Try it out in our pilot dashboard: https://lnkd.in/gNHh-Q7Q As a simple use case, Walkability scores are calculated by summing the normalized values of the following variables: - Sidewalk width; - Number of crosswalks within a 5-minute walk; - Number of leisure zones within a 5-minute walk; - Number of trees within a 5-minute walk. #walkability #analytics #gis #lisboa
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🔍 Exciting Development for Power BI Users! 🔍 Microsoft's Copilot function, now integrated into Power BI, introduces a revolutionary approach to data analysis. Powered by cutting-edge advancements in natural language processing and machine learning, Copilot acts as an AI-driven assistant, enhancing your data exploration and analysis experience. 💡 Copilot offers a wide range of functionalities tailored to Power BI users: Smart Visualization Suggestions: Copilot intelligently suggests visualization types based on your data, ensuring you choose the most effective visual representation to convey insights. Dynamic Query Formulation: With Copilot's assistance, writing complex queries becomes simpler. It provides contextual suggestions and auto-completion for DAX formulas and M queries, streamlining your analysis workflow. Data Exploration Assistance: Copilot helps you explore your data more efficiently by offering insights into potential patterns, trends, and anomalies, guiding you towards deeper insights. Performance Optimization: Identify performance bottlenecks in your Power BI reports and dashboards with Copilot's recommendations for optimizing data models and queries, ensuring smoother and faster data analysis. Natural Language Interaction: Communicate with Copilot using natural language queries and commands, allowing for a more intuitive and conversational interaction with your data. Data Transformation Guidance: Copilot assists in data transformation tasks by suggesting Power Query steps and transformations based on your requirements, enabling cleaner and more structured datasets. Custom Function Creation: Easily create custom functions within Power BI using Copilot's suggestions and auto-completion, empowering you to extend the functionality of your reports and dashboards. 🔗 Integrated directly into Power BI, Copilot revolutionizes the data analysis landscape by providing comprehensive assistance across various stages of the analysis process, ultimately empowering users to derive actionable insights from their data more efficiently. Experience the transformative potential of Copilot in Power BI today, and unlock a new realm of efficiency and effectiveness in your data analysis endeavors. #Microsoft #PowerBI #DataAnalysis #AI #Copilot #Analytics #Insights #DataVisualization
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Check-out our dashboard “Walkability Indicator for Age Friendly Urban Spaces” 🚶♂️🚶♀️👴👵 Explore the map yourself and find out which spaces are age friendly: https://lnkd.in/dfbaWgmV The project was featured in Revista Smart Cities and developed by Bruno Jardim & Ann-Kathrin Heinrich at our lab NOVA BI & Analytics Lab at NOVA IMS Information Management School. The score measures the walkability with regards to specific environment attributes which facilitate the quality of life and promote healthy and active aging. The team used descriptive objective data that aims to capture the presence and/or quality of specific street-level attributes and was implemented in the area of Parque das Nações, a parish in Lisbon, Portugal, in the eastern zone of the city. #BIanalytics #UrbanSpaces #Walkability #SmartCities #DataVisualization #OSM
Em destaque na Revista Smart Cities, Indicador de Caminhabilidade para Espaços Urbanos Amigos do Idoso. Um trabalho desenvolvido pela equipa do NOVA Cidade - Urban Analytics Lab (Bruno Jardim & Ann-Kathrin Heinrich) da NOVA IMS Information management school, coordenado por Miguel de Castro Neto, Diretor da NOVA IMS, que pretende avaliar em que medida os espaços urbanos são amigos dos idosos. Aceda ao artigo completo em https://lnkd.in/d9gvJZ7u