As 10 melhores ferramentas de BI na nuvem analisadas para 2026

By
Phil Gray

We review tools independently, and commissions help fund our testing. See our transparency policy, our methodology, or suggest a tool.

Com base na minha experiência em gestão empresarial, testei, avaliei e selecionei as melhores ferramentas de BI na nuvem para disponibilizar funcionalidades de inteligência empresarial através da nuvem.

Com tantas ferramentas de BI na cloud disponíveis, é difícil perceber qual é a mais adequada para si. Sabe que quer uma forma flexível e eficiente de gerir e analisar os dados da sua empresa, mas precisa de descobrir qual é a melhor ferramenta.

Eu ajudo! Nesta publicação, vou facilitar a sua escolha, partilhando as minhas experiências pessoais com dezenas de diferentes softwares de BI na cloud e várias equipas, bem como as minhas escolhas das melhores ferramentas de BI na cloud.

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For this guide, we evaluated tools using hands-on testing and independent research, scoring tools using our selection criteria.

Our reviews reflect our human editorial judgment, not a sales pitch.

Tabela de comparação de ferramentas de BI na cloud

Compare os detalhes dos preços das minhas principais escolhas de ferramentas de BI na cloud na tabela abaixo.

1Best for automating your ETL/ELTFree trial availableFrom $250/user/month (billed annually)Website
2Best for unified analytics and AI workloadsFree edition available + 14-day free trialFrom $0.15/DBUWebsite
3Best for empowering your entire organization with data-driven decision-making30-day free trialFrom $300/month (billed annually)Website
4Best for building a BI-focused tech stack with products from the same familyFree trial + free demo availablePricing upon requestWebsite
5Best for automating and modernizing your reporting process30-day free trialPricing upon requestWebsite
6Best for cloud BI plans designed for your industryFree demo availablePricing upon requestWebsite
7Best cloud BI tool for enterprise-level deploymentFree demo availablePricing upon requestWebsite
8Best for instant data insightsFree demo availablePricing upon requestWebsite
9Best for creating interactive visual reports14-day free trial + free demo availablePricing upon requestWebsite
10Best for delivering industry and role-specific analyticsFree demo availablePricing upon request Website

Análises das melhores ferramentas de BI na cloud

Abaixo, analisei todas as ferramentas da minha lista, fornecendo-lhe um resumo do que fazem, das funcionalidades e capacidades de destaque e do funcionamento interno de cada ferramenta. Incluí também algumas informações sobre preços e alguns prós e contras que poderão ajudá-lo a escolher a ferramenta mais adequada para si.

  1. Best for automating your ETL/ELT
    • Free trial available
    • From $250/user/month (billed annually)
    Visit Website
    Customer Rating:4.6/5
    Alteryx screenshot
    Alteryx provides predictive analytics tools to better understand consumer behaviors.

    As a low and no-code analytics platform, Alteryx strives to encourage everyone on your team to engage with data by making reporting and insights fun and unique. With quick results that can deliver breakthroughs every day, Alteryx offers a cloud platform that can help organizations connect, prepare, analyze, scale, and automate.

    Why I picked Alteryx: This platform caught my attention because of their ability to help you build and orchestrate robust ETL/ELT data pipelines as any scale. Connect to over 150 data sources, upload them to your destination, transform the data into readable and visually appealing reports, and publish outputs to downstream applications.

    Alteryx Standout Features and Integrations

    Standout features include Alteryx Designer Cloud to help even non-technical users prep and create stunning reports, Alteryx Auto Insights to uncover and share your data story, and democratized spatial analytics for better decision-making based on geospatial insights.

    Integrations include Adobe, AWS, BluePrism, Google Cloud, Microsoft, Snowflake, Tableau, ThoughtSpot, UiPath, and Veritone.

    Pros and Cons

    Pros:

    • Accessible, intuitive navigation design
    • Robust community provides advice and assistance
    • Interface is very easy to use

    Cons:

    • Requires some training to utilize effectively
    • Cost per seat can seem high
    Learn more about Alteryx:
  2. Best for unified analytics and AI workloads
    • Free edition available + 14-day free trial
    • From $0.15/DBU
    Visit Website
    Customer Rating:4.5/5
    Databricks screenshot
    This Databricks notebook combines SQL queries with built-in visualizations, enabling teams to explore data and generate interactive charts directly from query results.

    Built on an open lakehouse architecture, Databricks is a cloud data and analytics platform with native BI capabilities including AI-powered dashboards, conversational analytics, and a unified semantic layer.

    Who Is Databricks Best For?

    Databricks is a strong fit for data-heavy enterprises where data engineers, analysts, and data scientists work closely together on shared pipelines and analytics.

    Why I Picked Databricks

    Databricks is one of my top picks because it's the only cloud BI platform where SQL analytics, machine learning, and AI-assisted dashboards run on a single engine without data movement between tools. I especially like how Genie, the natural language query interface, lets analysts ask questions in plain English directly against production data. The AI/BI dashboard layer then lets my team visualize outputs from both traditional SQL queries and predictive ML models side by side.

    Databricks Key Features

    • Unity Catalog semantic layer: Define and manage business metrics, dimensions, and data definitions centrally so every dashboard references the same logic.
    • Serverless SQL warehouses: Auto-scaling compute that activates on demand to run BI queries without manual cluster configuration.
    • Delta Sharing: An open protocol that lets you share live data with external teams or partners without copying or moving it.
    • Dashboard embedding: Publish and embed AI/BI dashboards directly into external applications or internal portals.

    Databricks Integrations

    Databricks has validated integrations with various third-party solutions across data ingestion, BI, data preparation, and governance categories through its Partner Connect interface. Key integrations include Power BI, Tableau, Fivetran, dbt Cloud, Sigma Computing, Qlik Sense, Hex, ThoughtSpot, Hightouch, and Monte Carlo. Databricks is also available on Zapier, and it provides REST APIs for custom integrations.

    Pros and Cons

    Pros:

    • Unity Catalog tracks lineage and governance centrally
    • Runs on AWS, Azure, and Google Cloud
    • Ingests nearly any data format natively

    Cons:

    • Dashboard charting options are inflexible
    • Idle clusters quietly inflate costs
    Learn more about Databricks:
  3. Best for empowering your entire organization with data-driven decision-making
    • 30-day free trial
    • From $300/month (billed annually)
    Visit Website
    Customer Rating:4.4/5
    Qlik screenshot
    Qlik Analytics Platform allows users to integrate various data sources and build data models.

    Qlik Sense is the business analytics tool from Qlik Analytics Platform that allows everyone in your organization to utilize the insights of data analysis to improve their workflow through AI-powered insights and suggestions, as well as AI-accelerated data prep and advanced analytics integration.

    Why I picked Qlik Analytics Platform: The reason this solution made my list is because Qlik allows your team to easily communicate their discoveries with everyone who needs to see them through fully interactive and secure offline and online mobility. Business users can get answers and share their work anywhere they happen to be.

    Qlik Analytics Platform Standout Features and Integrations

    Standout features include data integration through open and standard APIs with customization and extension capabilities, SaaS and multi-cloud architecture to drive scalability for on-premise and private cloud environments, and data management through data warehouse automation.

    Integrations include Adobe Analytics, Amazon S3, Coupa, IBM DB2, Jira, Microsoft Azure, MongoDB, Oracle Netsuite, Salesforce Sales Cloud, and SAP CRM. Qlik offers over 100 connectors for data integration.

    Pros and Cons

    Pros:

    • Tons of customization capabilities
    • Very easy to get started
    • Mobile app for more accessibility

    Cons:

    • Issues with processing big data sets
    • Limited data modeling and interactive visualizations
    Learn more about Qlik:
  4. Best for building a BI-focused tech stack with products from the same family
    • Free trial + free demo available
    • Pricing upon request
    Visit Website
    Customer Rating:4.4/5
    Looker screenshot
    Looker has its own modeling language, LookerML, that helps you define important metrics for reuse.

    Looker is a cloud BI tool that’s part of the Google Cloud and uses an intuitive, web-based interface that enables data exploration, report building and sharing, and data-driven decision-making throughout your entire organization. At Looker’s core is data discovery through a simplified coding language called LookerML, which allows data analysts to design and create mini-applications to enhance data exploration.

    Why I picked Looker: I chose Looker for this list because the platform has a whole family of additional business intelligence tools that could enhance your tech stack, including Looker Embedded for embedded analytics and applications, Looker Modeler to centralize your most important metrics across the entire company, and Looker Studio to visualize data with configurable tables, charts, and reports.

    Looker Standout Features and Integrations

    Standout features include databases that allow you to manage and migrate enterprise data more securely, Data Cloud Alliance to provide global businesses with seamless data access, and AI and machine-learning tools that generate instant insights.

    Integrations include Asana, Dropbox Business, Google Analytics 360, Google Workspace, HubSpot CRM, Mailchimp, Microsoft Excel, Rippling, Salesforce Sales Cloud, and Slack.

    Pros and Cons

    Pros:

    • User-friendly interface and intuitive design
    • Great customer support team
    • Very easy to learn and use

    Cons:

    • Instant update isn’t so instant; may require a page refresh
    • Large data sets can cause lag time
  5. Best for automating and modernizing your reporting process
    • 30-day free trial
    • Pricing upon request
    Visit Website
    Customer Rating:4.4/5
    Domo screenshot
    Domo helps you analyze and understand the data from your business with intuitive report building.

    Domo is a system that’s been designed to work for anyone in your organization so nobody has to wait on analyst reports anymore. With their cloud-native data experience, this platform takes traditional business intelligence to the next stage with user-friendly dashboards and apps, as well as providing a centralized space where anyone on your team can access real-time insights.

    Why I picked Domo: This platform made my list because it encourages collaboration between teams. Anyone can turn spreadsheets into visual dashboards that update themselves as data changes, schedule reports and updates for key stakeholders, and collaborate on new reports in real-time in shared workspaces.

    Domo Standout Features and Integrations

    Standout features include self-service data analytics that brings data from every source into one unified view and proactive reporting that changes charts as data changes and notifies you of any updates.

    Integrations include Basecamp, DocuSign, Dropbox Business, GitHub, Google Analytics 360, Google Drive, Mailchimp, Microsoft Excel, SurveyMonkey, and Trello.

    Pros and Cons

    Pros:

    • Plug-and-play integrations make setup easy
    • Features are easy to learn
    • Creates polished and professional reports

    Cons:

    • Can be sluggish with big data sets
    • Customer support can be slow to respond
    Learn more about Domo:
  6. Best for cloud BI plans designed for your industry
    • Free demo available
    • Pricing upon request
    Visit Website
    Customer Rating:4.4/5
    Board screenshot
    BOARD offers an analytics solution with tons of graphs and other data visualization options.

    This business intelligence platform was built to offer smarter planning and actionable insights for better business decisions that unify your strategy for finance and operations. BOARD strives to provide you with the crucial insights you need to gain more visibility across your entire organization — from goal setting to operational execution.

    Why I picked BOARD: I chose this platform for my list because of their unique pricing structure. Instead of breaking down the subscription plan right away, they tailor a tool based on your industry or need, including solutions for finance, retail, supply chain, and sales.

    BOARD Standout Features and Integrations

    Standout features include advanced analytics with machine learning forecasting and simulation, low-code or no-code customization with drag-and-drop editing, and artificial intelligence for scorecard and strategy management.

    Integrations include Google Analytics 360, HubSpot CRM, Marketo Engage, Microsoft Excel, Oracle CRM, Salesforce Sales Cloud, SAP HANA Cloud, ServiceMax, SugarCRM, and Veeva CRM.

    Pros and Cons

    Pros:

    • Easy to set up and maintain
    • Quick handling of high-volume data
    • User-friendly interface for an engaging environment

    Cons:

    • System maintenance is not dynamic
    • Reporting designs could be improved
    Learn more about Board:
  7. Best cloud BI tool for enterprise-level deployment
    • Free demo available
    • Pricing upon request
    Visit Website
    Customer Rating:4.3/5
    SAP Analytics Cloud screenshot
    SAP Analytics Cloud allows you to see project summaries, specific analyses, and manager overviews.

    The SAP Analytics Cloud is a web-based BI tool that’s built on SAP’s HANA platform that provides it the power to run apps within the cloud and consolidate analytics from many sources into a single, centralized experience. You get real-time data analytics for employees at every level with versatile personalization options and device optimization.

    Why I picked SAP Analytics Cloud: This tool caught my eye because of its dashboard-based interface and prioritization of social collaboration. In addition to ad hoc reporting, planning, and forecasting, you can leverage conversational tools to take effective action, share insights, synchronize workflows, and schedule meetings.

    SAP Analytics Cloud Standout Features and Integrations

    Standout features include data visualization and exploration to inspire audiences, self-service BI modeling and preparation where you set the KPIs, and predictive forecasting with machine learning tools that allow you to anticipate business needs.

    Integrations include Google Analytics 360, Google Drive, HubSpot CRM, Meta for Business, Microsoft Office, Qualtrics CoreXM, QuickBooks, Salesforce Sales Cloud, Twitter, and Workato.

    Pros and Cons

    Pros:

    • Constantly expanding tool offerings
    • Simple and easy user interface
    • Allows web-based log-ins

    Cons:

    • Limited analytics features, like drilling through metrics
    • Cannot edit models after creation
    Learn more about SAP Analytics Cloud:
  8. Best for instant data insights
    • Free demo available
    • Pricing upon request
    Visit Website
    Customer Rating:4.4/5
    Athenic screenshot
    Athenic provides AI-generated dashboards and reports for business insights.

    Athenic is an AI-powered cloud business intelligence (BI) platform designed to make analytics accessible for teams across industries like SaaS, consumer packaged goods (CPG), and manufacturing. By combining AI-driven analysis with conversational queries, Athenic helps you transform complex data into actionable insights quickly and efficiently.

    Why I Picked Athenic: I picked Athenic because it makes accessing insights fast and intuitive. Instead of waiting for lengthy reports, you can ask questions in natural language and receive real-time answers, complete with visualizations. Its custom AI models are another standout, allowing you to tailor analytics to your organization’s unique goals and terminology. This flexibility means Athenic adapts well across industries and use cases. Additionally, its knowledge graph enhances the depth of analysis, providing highly relevant responses and empowering teams to uncover insights they might otherwise miss.

    Athenic Standout Features and Integrations

    Standout features include Athenic’s conversational interface for instant insights, its knowledge graph for precise data inquiries, and its agentic deep-research capability, which autonomously explores complex datasets to generate comprehensive reports. The platform also prioritizes security and scalability, making it suitable for startups and enterprises alike.

    Integrations include Google Sheets, Slack, MailChimp, Gmail, Trello, ClickUp, Airtable, Salesforce CRM, HubSpot, Monday.com, Notion, Stripe, Asana, Zoho CRM, Google Ads, and more.

    Pros and Cons

    Pros:

    • Functions as an AI-powered English-to-SQL translator, enhancing data querying
    • Supports product and customer growth planning
    • User-friendly interface simplifies data analysis for non-technical users.

    Cons:

    • Limited features compared to more advanced analytics tools
    • Requires internet access for optimal functionality
    Learn more about Athenic:
  9. Best for creating interactive visual reports
    • 14-day free trial + free demo available
    • Pricing upon request
    SAS Visual Analytics screenshot
    The SAS Visual Analytics sales dashboard provides in-depth data at a glance.

    As the flagship offering from SAS, this visualization tool offers plenty of features to help you build custom interactive reports. Use the self-service data preparation feature, visual data discovery tools, interactive reporting, and dashboard for simplified analytics capabilities and organizational governance for non-technical users.

    Why I picked SAS Visual Analytics: The reason this platform caught my eye was for more than just the reporting and visualization tools. SAS Visual Analytics also boasts a massive library of free tutorials that can teach novices new skills and enhance the skills of more experienced team members. This platform also offers training courses through specialist certification programs.

    SAS Visual Analytics Standout Features and Integrations

    Standout features include data exploration and analytics with augmented analytics, interactive reporting that’s simple to share and discuss, and conversational AI chatbots through the SAS Conversation Designer.

    Integrations include Amazon Aurora, Amazon Redshift, Amazon S3, AWS CloudFormation, Google Cloud, Google Cloud BigQuery, Google Cloud Datastore, Microsoft Azure, OpenShift, and SAS Analytics Pro.

    Pros and Cons

    Pros:

    • Works very fast because of parallel computing support
    • Easy to use with low-code requirements
    • More affordable for large organizations

    Cons:

    • Has a steep learning curve, which means tutorials are essential
    • Less affordable for small businesses
    Learn more about SAS Visual Analytics:
  10. Best for delivering industry and role-specific analytics
    • Free demo available
    • Pricing upon request
    Networked BI screenshot
    Infor Birst provides industry-specific reports to ensure you’re only seeing relevant data.

    This native cloud BI platform is an analytics tool designed to help your organization understand and optimize complex processes. Infor Birst claims they process data in less time than traditional BI solutions using patented automation and machine learning technology that can help you leverage your insights for smarter business decisions.

    Why I picked Infor Birst: I like this platform because they utilize modern data architecture to deliver the support you need to take your analysis anywhere it needs to go. With this flexible approach to managing data, you can enjoy scalable, secure, and adaptable tools that can blend centralized and decentralized data analytics.

    Infor Birst Standout Features and Integrations

    Standout features include automated data integration to reduce manual tasks for your team, networked BI to support centralized and decentralized team governance, and data sharing to include customers, partners, suppliers, and other stakeholders in your decision-making process.

    Integrations include ADP, Bitium, Delphi AI, DocuSign, Marcom Portal, Marketo Engage, Microsoft Excel, SyteLine, SupplyMover, and Tableau. Infor Birst is also part of the new Shopify Global ERP program.

    Pros and Cons

    Pros:

    • Enhanced API options to check any data
    • Customization is much more user friendly
    • Powerful processing and infrastructure capabilities

    Cons:

    • Limited BQL functionality options
    • UI could be a little more intuitive
    Learn more about Networked BI:

Outras opções de ferramentas de BI na cloud

Com tantas ferramentas de inteligência empresarial disponíveis, há mais algumas opções que não entraram na minha lista principal. Conheça estas alternativas:

  1. 11
    Altair OneBest for aerospace, engineering, and technology use cases
  2. 12
    Sigma ComputingBest for its unique scale and performance with large data sets
  3. 13
    SisenseBest for infusing data into every part of your workflow
  4. 14
    Zoho AnalyticsBest platform with years of experience — operating since 2009
  5. 15
    TIBCO SpotfireBest for analyzing both data in motion and data at rest
  6. 16
    AnswerRocketBest BI software for panel data and brand analysis
  7. 17
    Microsoft Power BIBest platform for empowering your whole team to utilize data
  8. 18
    ThoughtSpotBest BI software for organizations of any shape and size
  9. 19
    Oracle AnalyticsBest software for data preparation and enrichment
  10. 20
    PentahoBest for reducing your energy consumption and carbon footprint
  11. 21
    Salesforce CRM AnalyticsBest for integrating with your Salesforce-driven ecosystem
  12. 22
    Tableau DesktopBest tool with a secure self-service environment

How I Evaluate Cloud BI Tools

When a RevOps team needs real-time pipeline dashboards pulling from Salesforce and Snowflake, I evaluate tools on two levels: baseline acceptance criteria and differentiators that set vendors apart.

Core Functionality (Table Stakes For This List)

When I'm selecting tools for my list, I rank each one on a scale from 0 (does not offer the functionality) to 5 (excels in this area) for each core functionality listed below. Then, I calculate the tool's total score into a percentage. Each tool needs to achieve a minimum total score of 65% to be considered for inclusion.

  • Cloud-Native Deployment: I check that the platform runs entirely in the cloud with vendor-managed infrastructure, so your RevOps team doesn't need to involve IT for server provisioning or upgrades.
  • Multi-Source Data Connectors: Every tool needs native connectors to the sources RevOps teams actually use—CRMs like Salesforce and HubSpot, warehouses like Snowflake and BigQuery, and marketing or billing platforms.
  • Interactive Dashboards & Visualizations: I evaluate whether you can build drag-and-drop dashboards with cross-filtering and drill-downs, like clicking into a pipeline stage to see deals by rep or region.
  • Ad Hoc Querying & Data Modeling: A strong tool offers SQL access, a no-code explorer, or a semantic layer where you can define reusable metrics like pipeline velocity or weighted forecast.
  • Automated Reporting & Sharing: I look for scheduled delivery to email, Slack, or Teams alongside role-based access controls, so your CRO sees the executive summary while reps see their own numbers.
  • Real-Time / Live Data Refresh: Refresh frequency matters when you're monitoring pipeline changes during end-of-quarter pushes—I evaluate whether each tool supports live queries or configurable refresh intervals.

Once I have a list of tools that meet this criteria, I consider what sets each platform apart.

Differentiating Factors (What Sets Vendors Apart)

Here's how I compare and contrast different vendors:

Standout Features

I look for AI-powered insights that go beyond static charts—tools that flag anomalies like a sudden drop in pipeline creation or a spike in deal slippage without waiting for someone to build a report. Reverse ETL is another differentiator I evaluate closely, because pushing cohorts and scores back into Salesforce or HubSpot turns a BI tool into an operational layer. I also consider embedded forecasting models that let RevOps teams run what-if scenarios on quota coverage or churn risk directly within the platform.

Beyond Features

Integration depth matters—I check whether a tool offers native, bi-directional syncs with CRMs like Salesforce and HubSpot rather than just flat API pulls that break when fields change. Licensing structure is equally important since RevOps teams often need dozens of view-only users across sales and CS, so I evaluate whether affordable viewer tiers exist. I also consider time-to-value: platforms with pre-built RevOps templates and guided onboarding get teams to their first pipeline dashboard in days rather than months of configuration.

Como escolher ferramentas de BI na cloud

É fácil perder-se em listas longas de funcionalidades e estruturas de preços complexas. Para o ajudar a manter o foco enquanto percorre o seu processo único de seleção de software, apresentamos uma lista de verificação dos fatores a ter em conta:

FatorEscalabilidadeO que considerarA ferramenta crescerá com a sua equipa? Considere se consegue lidar com um volume crescente de dados e utilizadores sem uma diminuição do desempenho ou um aumento dos custos.
FatorIntegraçõesO que considerarEstabelece ligação aos seus sistemas existentes? Verifique se é compatível com APIs para facilitar o fluxo de dados entre as suas aplicações e bases de dados preferidas.
FatorPersonalizaçãoO que considerarPode adaptá-la às suas necessidades? Procure opções que lhe permitam ajustar os painéis e relatórios de modo a corresponderem aos seus fluxos de trabalho e preferências específicos.
FatorFacilidade de utilizaçãoO que considerarÉ fácil de utilizar? Avalie o design da interface e o feedback dos utilizadores para garantir que a sua equipa a pode adotar sem formação extensa ou frustração.
FatorImplementação e integração inicialO que considerarQuanto tempo demorará a configuração? Avalie o tempo e os recursos necessários para começar a trabalhar, incluindo os materiais de formação e o suporte disponibilizado pelo fornecedor.
FatorCustoO que considerarQual é o custo total de propriedade? Considere o modelo de preços, incluindo eventuais taxas ocultas relativas a atualizações, utilizadores adicionais ou serviços de suporte.
FatorMedidas de segurançaO que considerarQuão seguros estão os seus dados? Certifique-se de que a ferramenta cumpre normas de proteção de dados como o RGPD e disponibiliza encriptação e controlos de acesso.

O que são ferramentas de BI na cloud?

As ferramentas de BI na cloud (inteligência empresarial) são aplicações de software que oferecem serviços de inteligência empresarial, como análise de dados, elaboração de relatórios e visualização, alojadas numa infraestrutura de cloud. Permitem às empresas integrar dados de várias fontes e fornecem ferramentas para analisar e apresentar esses dados num formato compreensível e acionável.

Estas ferramentas estão acessíveis através da Internet, eliminando a necessidade de instalações de hardware e software nas instalações.

Funcionalidades

Ao selecionar ferramentas de BI na cloud, procure as seguintes funcionalidades essenciais:

  • Visualização de dados: Transforma dados complexos em gráficos e diagramas fáceis de compreender, permitindo obter informações mais rapidamente.
  • Análise em tempo real: Fornece uma análise de dados atualizada ao minuto, ajudando os utilizadores a tomar decisões atempadas.
  • Capacidades de integração: Liga-se de forma integrada a outro software e a bases de dados, garantindo um fluxo de dados eficiente.
  • Painéis personalizáveis: Permite aos utilizadores adaptar a interface para melhor responder às suas necessidades e preferências específicas.
  • Análise preditiva: Utiliza dados históricos para prever tendências futuras, apoiando o planeamento estratégico.
  • Processamento de linguagem natural: Permite aos utilizadores interagir com os dados através de linguagem corrente, facilitando a análise.
  • Acesso móvel: Permite aos utilizadores consultar e analisar dados em qualquer lugar, através dos seus dispositivos móveis.
  • Medidas de segurança: Protege dados sensíveis através de encriptação e do cumprimento das normas de proteção de dados.
  • Relatórios interativos: Disponibiliza opções de elaboração de relatórios dinâmicos que os utilizadores podem manipular para obter informações mais aprofundadas.
  • Informações baseadas em IA: Fornece recomendações e informações automatizadas para melhorar a tomada de decisões.

Benefícios

A implementação de ferramentas de BI na cloud proporciona vários benefícios à sua equipa e à sua empresa. Eis alguns dos benefícios que pode esperar:

  • Melhoria da tomada de decisões: A análise em tempo real e as informações preditivas ajudam a sua equipa a tomar rapidamente decisões fundamentadas.
  • Maior acessibilidade: O acesso móvel e as capacidades de integração permitem à sua equipa aceder aos dados a qualquer hora e em qualquer lugar.
  • Colaboração melhorada: Os relatórios interativos e os painéis personalizáveis permitem que os membros da equipa trabalhem em conjunto de forma mais eficaz.
  • Poupança de tempo: O processamento automatizado de dados e as informações baseadas em IA reduzem a carga de trabalho manual e aceleram a análise.
  • Segurança dos dados: As medidas de segurança protegem as informações sensíveis da sua empresa e garantem o cumprimento dos regulamentos.
  • Escalabilidade: Estas ferramentas podem acompanhar o crescimento da sua empresa, processando mais dados e utilizadores conforme necessário.
  • Eficiência de custos: Com soluções baseadas na cloud, evita os custos de manutenção de uma infraestrutura local.

Custos e preços

A seleção de ferramentas de BI na cloud exige uma compreensão dos vários modelos de preços e planos disponíveis. Os custos variam consoante as funcionalidades, o tamanho da equipa, os complementos, entre outros fatores. A tabela abaixo resume os planos comuns, os respetivos preços médios e as funcionalidades normalmente incluídas nas soluções de ferramentas de BI na cloud:

Tabela de comparação de planos para ferramentas de BI na cloud

Tipo de planoPlano gratuitoPreço médio$0Funcionalidades comunsVisualização básica de dados, painéis limitados e integração restrita de dados.
Tipo de planoPlano pessoalPreço médio$10-$30/utilizador/mêsFuncionalidades comunsVisualizações melhoradas, mais ligações de dados e painéis personalizáveis.
Tipo de planoPlano empresarialPreço médio$30-$60/utilizador/mêsFuncionalidades comunsAnálise avançada, processamento de dados em tempo real e funcionalidades de colaboração.
Tipo de planoPlano empresarial de grande dimensãoPreço médio$60-$120/utilizador/mêsFuncionalidades comunsCapacidades completas de integração, análise preditiva e funcionalidades dedicadas de suporte e segurança.

Perguntas frequentes sobre ferramentas de BI na nuvem

Precisa de saber mais sobre as ferramentas de BI na nuvem antes de tomar uma decisão? Consulte as respostas a algumas das perguntas mais frequentes.

Qual é o nível de segurança das ferramentas de BI na nuvem?

Sim, as ferramentas de BI na nuvem são geralmente seguras, mas isso depende do fornecedor. Procure ferramentas que ofereçam encriptação de dados, auditorias de segurança regulares e conformidade com normas como o RGPD. Pergunte aos fornecedores quais são as suas medidas de segurança e certifique-se de que oferecem controlos de acesso dos utilizadores para proteger dados sensíveis.

Quem utiliza ferramentas de BI na nuvem?

Este tipo de ferramenta é útil em praticamente todos os setores, mas alguns têm reconhecido o seu valor mais rapidamente do que outros. É de esperar que empresas dos setores financeiro, da saúde e do entretenimento utilizem ferramentas de BI na nuvem para democratizar os dados, aumentar a escala de acordo com a procura e obter informações empresariais em tempo real.

O SaaS é uma ferramenta de BI na nuvem?

É mais correto dizer que as ferramentas de BI na nuvem são SaaS (software como serviço), porque fornecem um serviço baseado em software aos proprietários de empresas.

As ferramentas de BI na nuvem exigem conhecimentos técnicos para serem utilizadas?

Não, muitas ferramentas de BI na nuvem foram concebidas para serem fáceis de utilizar. Muitas vezes, oferecem interfaces intuitivas e funcionalidades de arrastar e largar, tornando-as acessíveis a utilizadores sem conhecimentos técnicos. No entanto, algumas funcionalidades avançadas podem exigir conhecimentos técnicos. Procure ferramentas com tutoriais abrangentes e apoio para ajudar a sua equipa a começar.

Que tipo de apoio posso esperar dos fornecedores de ferramentas de BI na nuvem?

O apoio varia consoante o fornecedor, mas normalmente inclui recursos online, apoio por e-mail e, por vezes, chat em direto. Os planos de nível superior podem disponibilizar gestores de conta dedicados e apoio telefónico. Antes de comprar, avalie o nível de apoio de que irá necessitar e confirme que o fornecedor consegue corresponder a essas expectativas.

Phil Gray
Phil Gray
Philip Gray is the COO of Black and White Zebra, a digital publishing and tech company. He hails from rainy Glasgow, Scotland transplanted in not quite as rainy Vancouver, BC, Canada. With 10+ years of experience in leadership and operations in industries that include biotechnology, healthcare, logistics, and SaaS, he applies a considerable broad scope of experience in business that lets him see the big picture. His love for data and all things revenue operations landed him this role as resident big brain for the RevOpsTeam. A business renaissance man with his hands in many departmental pies, he is an advocate of centralized data management, holistic planning, and process automation. An unapologetic buzzword apologist, you can often find him double clicking, drilling down, and unpacking all the things. Want to get on a listicle? Find out more here.
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