Arquivo de Tecnologia - F5tci

IA confiável: O papel da arquitetura e dos dados

admin — Tue, 03 Mar 2026 13:52:41 +0000

Artificial Intelligence: Why architecture, semantics, and trusted data are essential for confident decision-making.

AI adoption only creates value when results are reliable. Building trusted AI requires the right foundations: solid architecture, clear semantics, and trusted data. These three pillars determine the quality of outputs, the mitigation of hallucinations, and the ability to scale AI securely across the organization.

💡Executive Brief

Generative AI adoption must now prioritize output reliability, not only model performance.
Hallucinations are an inherent characteristic of Large Language Models (LLMs), best mitigated through strong architectural foundations, well-governed data, and clear semantic layers.
Grounding and continuous validation become essential to ensure factual and consistent responses in Analytics.
Platforms such as Microsoft Fabric and Azure AI are emerging as foundational layers to integrate data, business logic, and AI into a unified ecosystem.
AI trust is built on specialized teams who design and sustain robust data pipelines, semantic models, and resilient architectures.

From Hype to Responsibility

The adoption of generative AI and copilots has grown exponentially. Organisations are experimenting with new ways of working, automating, and analysing information. But as these tools become part of everyday operations, an inevitable question arises: how can we ensure that the answers are reliable?

AI hallucinations are not evidence that the technology is flawed. They highlight that AI performance is directly tied to the quality of the context it is given. And that context is defined by data, semantics, and system architecture. Building on our earlier insights on AI in Power BI and automated data quality, this article explores the foundations that make AI reliable at scale. a qualidade das respostas depende da qualidade do contexto. E esse contexto é determinado por dados, semântica e arquitetura. Esta reflexão dá continuidade aos artigos anteriores sobre IA no Power BI e automação da qualidade dos dados, aprofundando agora o que realmente sustenta uma IA confiável.

This paradigm shift brings us to the most critical element in AI adoption: trust.

Trust as the core driver of successful AI adoption

Executives and technical teams converge on a single point: AI only creates value when the decisions it produces are consistent and traceable. This requires:

Ensuring governed, semantically clear data;
Maintaining pipelines that safeguard consistency and accelerate value delivery;
Implementing validation mechanisms;;
Defining context‑recovery mechanisms that minimise misinterpretation and strengthen decision accuracy;
Establishing processes that ensure long‑term stability.

Trust is not an isolated attribute of the model. It is the outcome of the ecosystem in which it operates, and it is what separates organisations that deploy AI sustainably from those that merely experiment.

Architecture as a mechanism for mitigating hallucinations

Hallucinations are not solved by more advanced models alone. They are solved through well‑designed architecture:

Structuring pipelines to minimise ambiguity across the data‑to‑insight flow;
Applying grounding to ensure responses are anchored in real, verifiable data;
Defining context‑recovery mechanisms that minimise misinterpretation and strengthen decision accuracy;
Performing continuous validation to detect drift before it affects decision‑making.

This is where data engineering takes on a central role: not as an invisible support function, but as the foundation that enables AI to operate with safety and consistency.

Fabric, Azure Analytics, and the strategic role of semantics

Microsoft Fabric introduced a significant shift: a unified platform where data, pipelines, semantics, and AI coexist in an integrated way. This approach enables:

Semantic models that reduce ambiguities and align metrics;
Copilots that operate on governed data;
Centralised and traceable business logic;
Native integration between data, processes, and models.

These principles extend across the entire data platform and become even more critical with the rise of generative AI.

Integration as a critical success factor

AI does not replace existing systems, it integrates with them. And that integration requires:

Experienced data engineering teams;
Consultants who understand the Microsoft ecosystem;
Ability to modernise pipelines without compromising operations;
Architectural vision to connect data, semantics, and AI into a coherent whole.

Many organisations don’t fail because of a lack of technology, but because of a lack of alignment between architecture, processes, and teams. Trusted AI is born from that integration.

Practical pathways to move forward with confidence

In the coming months, organisations looking to adopt AI sustainably should focus on:

Strengthening data quality and semantics;
Modernising pipelines and data governance;
Implementing grounding mechanisms;
Integrating copilots progressively and in a controlled manner.

Trusted AI is a continuous journey of maturity, discipline, and integration.

Conclusion: moving towards useful, integrated, and trustworthy AI

he new era of AI is not only about smarter models. It is about well‑designed systems, trustworthy data, and teams able to bring everything together coherently. Trust is built over time and relies as much on architecture as on technology.

This topic opens the door to a broader reflection on the Microsoft ecosystem and the role of Copilot, Fabric, and Azure AI Foundry in building truly trustworthy AI platforms. It is a theme that will be explored in greater depth in upcoming content.

F5tci supports organisations in defining reliable AI architectures aligned with Microsoft’s vision, ensuring coherence and return on existing investments.

👉 Get in touch to discover how to structure your AI architecture with clarity and measurable business impact.

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25 Anos de Evolução, Crescimento e Confiança!

admin — Mon, 05 Jan 2026 10:17:41 +0000

25 Years – A milestone that reflects the journey and shapes the future.

In January 2026, F5tci marks 25 years of activity – yes, in the world of technology, that already counts as “history”!

Founded in 2001 in Matosinhos, the company has built its journey alongside the evolution of the technology market, consistently adapting its value proposition to the needs of organisations.

Over time, it has built a path grounded in close relationships with clients, the appreciation of knowledge and collaboration, and a strong commitment to results. This approach, guided by transparency and rigour in meeting deadlines, has led to the company’s current positioning in the areas of Business Intelligence, Data Analytics, and Artificial Intelligence, with the mission of transforming data into accessible, structured, and intelligent information for all.

This milestone represents both a moment of reflection and a clear statement of continuity, growth, and innovation, with feet firmly on the ground and eyes set on the future!

Analytics as a strategic pillar

Today, F5tci operates as a consultancy company in Business Intelligence, Data Analytics, and Artificial Intelligence, supporting organisations in modernising their data architectures and enabling informed decision-making.

Its work includes:

Consulting and end-to-end delivery of analytics projects;

Migration and modernization of data platforms and environments;

Flexible collaboration and nearshoring models, supported by highly qualified talent.

The approach is pragmatic, results-oriented, and focused on the specific needs of each client, with close collaboration, clear communication, and a focus on what truly matters: useful, functional, and sustainable solutions.

A new cycle of growth

In 2025, F5tci strengthened its focus on Data Analytics and AI, aimed at international expansion, and established a sustained growth plan for the coming years.

This growth is driven by strong partnerships, talent acquisition, and the preservation of a collaborative, knowledge-sharing culture, where teams work closely together and decisions are made with seriousness and trust. A culture in which hierarchies exist primarily to support commitment: more example and responsibility, less authority tied to the role or position.

Looking ahead

Celebrating 25 years means acknowledging a journey built on consistency and a strong people-oriented approach. In a context where data and artificial intelligence play a central role in organisations and decision-making, F5tci aims to continue being the partner that combines technical expertise with closeness and a human touch.

It is with this culture of sharing, trust, and commitment that we step into the next 25 years—confident that it will be together—with clients, partners, and teams—that we will continue to turn data into growth… for all!

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Copilot no Power BI: Nova Geração de Analytics com IA

admin — Tue, 25 Nov 2025 12:39:41 +0000

Copilot & Power BI: For the Next Generation of Analysts!

Imagine a meeting where decisions are guided by real-time, easily accessible data, presented in a clear and intuitive way. Where there’s no longer a need to wait for a technical report or decipher complex formulas. That’s what Copilot in Power BI makes possible — a qualitative leap that is redefining the role of the data analyst.

But there’s an important detail: this advancement doesn’t happen in isolation. Copilot is an integral part of Microsoft Fabric, Microsoft’s unified data platform, and it’s precisely this integration that unlocks its full potential.

Generative AI in Power BI: What’s Changing?

Power BI has always enabled the creation of interactive reports and advanced analytics. As discussed in our previous article, “Power BI in Microsoft Fabric: Data-Driven Data Visualization”, the introduction of Copilot makes this experience even more natural and accessible:

🧠 Natural Language: users can type questions such as “Which products have the highest margins over the last 8 weeks?”, and Power BI responds with visualisations and insights.

⚙️ Automatic Measure Creation: you define the objective, and Copilot generates the corresponding DAX measure — with step-by-step explanations.

📊 Dashboard Suggestions: Copilot proposes report pages based on the model’s data, speeding up exploration.

🔎 Contextual Analysis: identifies trends, anomalies, and correlations without the need for complex formulas or filters.

Why is Microsoft Fabric Essential?

Copilot doesn’t work in isolation. The underlying infrastructure is critical — and this is where Microsoft Fabric comes in as a strategic pillar. Fabric provides:

A unified platform for structured and unstructured data (including Lakehouse, Data Factory, and Real-Time Analytics);

Centralized management of capabilities and computing resources, ensuring performance and scalability for AI workloads;

Integrated Data Governance, enforcing security and access policies across the entire data lifecycle.

Caution: Copilot Limitations

Copilot offers many benefits, but there are some aspects to consider:

Poorly structured data can lead to unreliable responses❗

Need for human validation: suggested measures are not always perfect❗

Licensing: not available in all Power BI subscription plans❗

Organizational maturity: without a basic data-driven culture, the impact will be limited❗

Preparation Checklist

Before planning and activating your AI investment, check whether your company is ready in this context:

Is the data organized?

Is there a Data Governance policy in place?

Do the teams already use Power BI regularly?

Is there openness to upskill non-technical users?

Is the investment in licensing feasible?

Why Move Forward?

The combination of Copilot and Power BI is a tangible competitive advantage. But more than that, it’s an opportunity to transform how organizations work with data. By adopting Microsoft Fabric, companies gain the technological foundation that supports this transformation with robustness, scalability, and security.

📈 The future of data is conversational, automated, and intelligent. It’s just one workspace away.

📩 📩 Ready to see if Copilot and Fabric are the right fit for your organization?

We help design that path — with data, strategy, and simplicity.

Talk to our team of experts. We're ready to help.

O conteúdo Copilot no Power BI: Nova Geração de Analytics com IA aparece primeiro em F5tci.

Microsoft e Qlik renovam liderança em BI e Analytics!

admin — Wed, 25 Jun 2025 11:51:46 +0000

Gartner Magic Quadrant 2025: Microsoft and Qlik Reaffirm Leadership in BI and Analytics Platforms

What Is the Gartner Magic Quadrant for Analytics and BI Platforms?

The Gartner Magic Quadrant for Analytics and Business Intelligence Platforms is an annual analysis that evaluates and positions leading market tools based on their ability to execute and the completeness of their vision.

These platforms enable organizations to:

Model, visualize, and analyze data to support informed decision-making;

Create interactive dashboards and automated reports;

Optimize operations based on real-time data.

With the growing use of AI, automation, and data integration, the 2025 Magic Quadrant reflects a new phase of modern Business Intelligence.

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2025

Key Trends for Business Intelligence in 2025

Gartner highlights three major trends that are transforming the landscape of BI and Analytics platforms:

💡 1. Generative AI (GenAI) at the Core of Analytics

Leading platforms, such as Power BI and Qlik Sense, are incorporating generative AI to automate:

The creation of reports, visualizations, and metrics;

Generation of insights from natural language;

Pattern discovery based on machine learning.

These capabilities boost productivity for both analysts and decision-makers.

🌍 2. Democratization of Analytics

Modern BI platforms are making data access easier and more secure:

Collaborative and self-service dashboards;

Integrated Data Governance with content certification;

Multi-platform access, from web to mobile.

🔗 3. End-to-End Integration

Solutions like Microsoft Fabric stand out by unifying components such as:

Data lakes, data warehouses, and data engineering;

Data science and real-time operations;

Analytical layers within a single data ecosystem.

Microsoft Power BI 2025: Consolidated Leadership with Fabric and Copilot

Microsoft maintains its leadership position in the 2025 quadrant, highlighting Power BI as a key component of Microsoft Fabric. The integration of tools such as OneLake, Spark, Real-Time Analytics, and Copilot with generative AI makes Power BI a comprehensive and AI-assisted BI platform.

🔑 Key Strengths:

Dominant market presence, facilitating adoption and support;

Copilot in Power BI, boosting productivity with AI;

Flexible licensing with per-user or capacity-based options.

⚠️ Points of Caution:

Changes in Fabric pricing and licensing may cause confusion;

Dependence on Azure Cloud for certain advanced features;

Challenges in managing workload isolation in shared environments;

Qlik Sense 2025: Innovation in Associative Analytics and Cloud-Agnostic Solutions

Qlik continues to be recognized as a leader thanks to its data-centric approach and innovation in AI and automation. The Qlik Cloud platform provides a robust solution for organizations that value flexibility and exploratory insights.

🔑 Key Strengths:

High customer satisfaction and retention;

The associative model itself, which allows exploring data without predefined paths;

Compatibility with multicloud environments and enterprise applications.

⚠️ Points of Caution:

Lack of a proprietary cloud ecosystem, which may limit corporate strategies;

Lack of a serverless architecture, which can be a constraint in data lakehouse environments;

NLQ (Natural Language Query) capabilities are still somewhat limited compared to other providers offering more robust natural language interactions.

Relevance of This Report for Your Organization

The 2025 Gartner Magic Quadrant reinforces a clear message: the best BI platforms are those that:

Incorporate generative AI and advanced automation;

Operate as comprehensive and scalable data platforms;

Help organizations build a data-driven decision-making culture.

Both Microsoft and Qlik reaffirm their leadership in BI and Analytics platforms. Each represents a strong strategic choice for organizations looking to modernize their analytics practices and gain a competitive edge

How Can We Support Your Analytics Journey?

At F5tci, we are specialists in implementations using Microsoft Power BI, Microsoft Fabric, Qlik Sense Client-Managed, and Qlik Cloud Analytics.

We help companies define data strategies aligned with business objectives and implement modern analytics solutions, with a focus on AI and cloud.

📩 Want to discuss your BI and Analytics roadmap for 2025?

Talk to our team of experts. We're ready to help.

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Power BI no Microsoft Fabric: Visualização de dados data-driven

admin — Thu, 22 May 2025 09:39:27 +0000

Power BI in Microsoft Fabric: Native Visualization for a Data-Driven Culture

Microsoft Fabric is revolutionizing the way organizations access, transform, and design the visualization of their data. At the heart of this evolution is Power BI, now a native tool within this unified platform. With this integration, data visualization becomes smoother, faster, and more secure — from the lakehouse to the dashboard.

In this article, we show how Power BI fits within Microsoft Fabric, explore the impact of Direct Lake mode, and explain how this approach accelerates a data-driven culture in modern organizations.

What Is Microsoft Fabric?

Microsoft Fabric is Microsoft’s new analytics platform that unifies tools such as Power BI, Azure Synapse Analytics, Azure Data Factory, and OneLake into a single SaaS environment. Its goal is to simplify the analytics lifecycle: from data ingestion to visualization.

If you’re not yet familiar with the core concepts of this architecture and want to understand its impact, we recommend reading our previously published article: Modernizing Analytics with Microsoft Fabric.

With OneLake as the central repository, all services access data from a single point, improving consistency and performance. And this is where Power BI comes in…

Power BI as a Native Component of Microsoft Fabric

With the arrival of Fabric, Power BI is no longer just a standalone visualization tool and becomes an integral part of the ecosystem. This means:

Direct connection to Fabric’s Lakehouses and Warehouses;

Real-time visualizations using data from OneLake;

Integrated collaboration with other Microsoft tools (Excel, Teams, etc.);

If Power BI is already in use within the organization, no migration is required — dashboards, semantic models, and reports remain valid, now with default access to Fabric functionalities.

Direct Lake: Real-Time Data, No Compromises

One of the biggest advantages of this integration is the new connection mode: Direct Lake. This feature allows Power BI dashboards to access data in OneLake without importing or duplicating it.

Benefits of Direct Lake:

Real-time access to data;

Elimination of manual or scheduled refreshes;

Scalability for large data volumes;

Optimized performance with direct Lakehouse reading;

In practice, this allows the creation of always-up-to-date dashboards without overloading the infrastructure or compromising analysis speed.

Real-World Application Example

Let’s consider the following common scenario within an organization: a finance team needs to monitor the company’s operational costs in real time. With the Fabric platform, the process works as follows:

The technical team imports and processes the data — according to business logic — into a Lakehouse in Fabric, which serves as the central repository. Tools such as data pipelines, Spark notebooks, or manual uploads are used to bring in financial data (e.g., operational expenses, revenues);

Power BI connects to the Lakehouse through the OneLake catalog. Relevant tables are selected, and a semantic model is created in Direct Lake mode, allowing direct access to the data without the need for import. Relationships between tables are defined, measures are created using DAX, and hierarchies are configured as needed;

With the semantic model ready, interactive reports are developed in Power BI, incorporating relevant charts, tables, and KPIs;

The published report can be embedded in Microsoft Teams channels, allowing leadership and other stakeholders to access information in real time, fostering a data-driven culture.

Without external integrations and without redundant processes.

More Than Dashboards: A New Way to Do Analytics

With Power BI natively integrated into Fabric, the focus is no longer just on creating dashboards. Now, it is possible to:

Engage business users in the analytics process from the source;

Reduce dependence on the technical team for data updates;

Implement security and compliance policies across the board;

And with Copilot for Power BI, generative AI further assists in report creation. Using natural language commands, it is possible to automate:

The creation of visualizations, using simple commands such as: “show operational expenses by quarter and region”;

The creation of DAX measures using prompts like: “create a metric to compare actual costs with the budget”;

Adding natural language descriptions and narratives to dashboards, making it easier for non-technical decision-makers to interpret the data.

Why Is This Integration a Game-Changer?

Microsoft Fabric and Power BI together represent a new generation. This native integration reduces the time from data to decision, democratizes access to information, and puts the power of analytics in the hands of the entire organization. If the goal is to create a truly data-driven culture, this is the right architecture.

Do you want to turn your data into decisions quickly, visually, and in an integrated way?

Talk to our team of experts, experienced in Power BI and Microsoft Fabric, to help you modernize your end-to-end analytics architecture.

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Qlik Sense: Novidades do Último Trimestre de 2024

admin — Tue, 03 Dec 2024 11:12:19 +0000

O mês de dezembro chegou e traz consigo não só a contagem decrescente para o fim de 2024, mas também as últimas novidades do Qlik Sense. Este trimestre marcou o lançamento da terceira e última versão do Qlik Sense Enterprise on Windows do ano e uma série de melhorias no Qlik Cloud, que segue com atualizações mensais. Neste artigo, exploramos as principais novidades que prometem transformar a experiência dos utilizadores e ampliar o potencial analítico das organizações.

Principais Novidades no Qlik Cloud

Qlik Anonymous Access

A grande estrela deste trimestre! Este recurso permite partilhar insights analíticos com uma audiência pública, como parceiros externos ou clientes, usando a plataforma segura e escalável do Qlik Cloud. Seja incorporando visualizações em websites ou aplicações de terceiros, por meio das novas APIs qlik-embed ou links compartilháveis, o potencial de alcance expandiu-se significativamente.

Fonte: Qlik

Visualizações

As melhorias visuais oferecem mais flexibilidade e estilo para os dashboards:

Barra de Seleção: Uso de rótulos personalizados atribuídos a master items, ideal para aplicações multi-idioma;

Plano de Fundo por URL: Permite vincular imagens externas e construir gráficos mais dinâmicos e estilizados.

Configuração de Estilo da Straight Table: Personalização avançada, incluindo fontes, cores e até imagens de fundo.

Tab Container: Novo container para guias com configurações de estilo otimizadas.

Menu de Navegação: Agora ajustável para ser um menu superior, painel lateral ou gaveta pop-up.

Preparação de Dados

O suporte nativo a JSON facilita o carregamento e a manipulação de dados complexos, um benefício especialmente valioso para dados de IoT e aplicações web.

Reporting e Alerting

O novo PixelPerfect Reporting permite criar relatórios com precisão gráfica, alinhados à identidade visual da empresa, oferecendo flexibilidade no design e na entrega.

Augmented Analytics

Qlik Answers: Personalização do assistente, incluindo avatar e mensagens.

Criação de Análises: Processo mais intuitivo, permitindo selecionar o tipo de análise desejada antes de configurar os dados.

Administração

A expansão da Qlik Cloud para a Índia reflete a crescente procura na região APAC, consolidando Mumbai como a quarta região na Ásia-Pacífico e a nona globalmente.

Novidades no Qlik Sense Enterprise on Windows

Visualizações e Dashboards

Imagens em Tabelas: Agora incorporáveis diretamente na tabela estática e na tabela dinâmica;

Navegação Melhorada: Páginas agrupadas no painel esquerdo, com opções de fixação e redimensionamento para maior organização;

Personalização de UI: Ajuste de botões e elementos da barra de ferramentas para aprimorar a experiência do utilizador;

Combo Chart e Straight Table: Melhorias em estilo, com suporte a expressões e formatação avançada.

Data & Platform

Editor de Script Otimizado: Visualização de dados durante o carregamento e melhoria na usabilidade de arquivos QVS;

Pesquisa e Substituição em expressões: Permite edições rápidas, economizando tempo no ajuste de scripts.

As novidades do Qlik Sense no último trimestre de 2024 trazem um equilíbrio entre funcionalidades avançadas e usabilidade aprimorada. Com melhorias significativas na visualização, preparação de dados, administração e relatórios, a plataforma consolida-se como uma escolha estratégica para organizações que procuram transformar dados em valor.

Fique atento às próximas atualizações para explorar todo o potencial do Qlik!
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Qlik Sense: Otimize o desempenho das aplicações

admin — Wed, 17 Jul 2024 10:06:47 +0000

Procura estratégias eficazes para melhorar o desempenho das suas aplicações Qlik Sense? Este artigo apresenta dicas essenciais que não só podem otimizar a sua experiência com o Qlik Sense, mas também elevar as suas competências de análise de dados. Descubra como uma tabela de calendário genérica, o uso inteligente dos Master Items, a criação de métricas derivadas e outras técnicas inovadoras podem transformar as suas análises!

Tabela de calendário genérica para todas as aplicações

A implementação de uma tabela de calendário genérica no Qlik Sense otimiza a transformação de dados. Embora existam diversos scripts de Master Calendar disponíveis online, é melhor criar esta tabela durante a fase de transformação dos dados, em vez de implementá-la diretamente na aplicação final. Este método melhora a eficiência, economiza tempo e evita a necessidade de atualizar cada calendário individualmente em diferentes aplicações, o que pode ser tedioso e demorado.

Para alterações pontuais, como adicionar uma nova dimensão ao calendário, aceder a cada aplicação separadamente pode ser complexo e propenso a erros. Portanto, ao criar a tabela de calendário na fase de transformação dos dados e armazená-la em QVDs (arquivos de dados Qlik), é possível reutilizá-la em diversas aplicações, garantindo coerência e consistência dos dados.

Importância dos Master Items

Os Master Items no Qlik Sense são essenciais para construir aplicações user-friendly e fáceis de manter. Utilizá-los constantemente garante que qualquer atualização num Master Item se reflita automaticamente em todos os gráficos que utilizam essa métrica ou dimensão. Para utilizadores com acesso Professional que não estão familiarizados com a estrutura da aplicação, os Master Items facilitam a criação de novas visualizações ao disponibilizar um conjunto de métricas previamente desenvolvidas e validadas.

Com o crescimento das tecnologias de inteligência artificial (IA) nas organizações, a qualidade dos dados torna-se ainda mais crucial. No ecossistema Qlik, o Insight Advisor depende da qualidade dos dados para fornecer retornos precisos e confiáveis. Os Master Items desempenham um papel fundamental, indicando à IA quais campos analisar para responder às perguntas dos utilizadores ou gerar novas análises, facilitando a interpretação dos dados e apoiando a tomada de decisão.

Fonte: Qlik Community

Criação de métricas baseadas em… outras métricas!

No Qlik Sense, é comum encontrar várias métricas semelhantes com filtros diferentes aplicados no Set Analysis. Por exemplo, métricas de “Vendas do Ano Atual” e “Vendas do Ano Anterior”. Para minimizar erros, o Qlik Sense permite a criação de novas métricas a partir de métricas já existentes com a aplicação de Set Analysis.

Por exemplo, é possível criar uma métrica nos Master Items para o valor total das vendas (Sum(Vendas)), denominada “VendasTotal”. A partir dela, pode-se criar uma métrica para “Vendas do Ano Atual”, aplicando um filtro específico ({} [VendasTotal]). Desta forma, qualquer ajuste na métrica mais genérica será automaticamente refletido em todas as outras métricas derivadas dela.

Utilização de Bookmarks padrão

Os bookmarks no Qlik Sense são uma funcionalidade presente desde o QlikView, permitindo que os utilizadores apliquem filtros constantes de forma rápida e intuitiva. No Qlik Sense, é possível definir um bookmark como “padrão de abertura”, especificando a página inicial e os filtros aplicados ao iniciar a análise.

É possível filtrar dimensões utilizando fórmulas. Por exemplo, para filtrar a última data do calendário, pode-se utilizar a fórmula =Num(Data)=Num(Max(Data)). Assim, ao criar um bookmark com esse filtro, o utilizador programa a visibilidade dos dados sempre com a última data selecionada ao abrir a aplicação. Isso resulta em cálculos mais rápidos devido à menor quantidade de dados processados, melhorando a performance e a experiência do utilizador.

Implementação de controlo da versão

Para manter a integridade e rastreabilidade das alterações nas aplicações, a implementação de um controlo de versão no Qlik Sense é crucial. Ferramentas Git podem ser integradas ao desenvolvimento no Qlik Sense, permitindo que os programadores mantenham um histórico das mudanças, revertam para versões anteriores quando necessário e colaborem de forma mais eficaz.

Teste estas técnicas e transforme a sua experiência de análise de dados!

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Qlik® adquire Kyndi

admin — Mon, 22 Jan 2024 12:25:44 +0000

AI-Driven Business Outcomes!

Qlik adquire Kyndi

A Qlik® anunciou formalmente a 18 de janeiro a aquisição da propriedade intelectual (patentes e tecnologia) da empresa Kyndi. A empresa norte-americana é reconhecida pelo seu papel inovador em processamento de linguagem natural, pesquisa e inteligência artificial (IA) generativa.

Testemunho de James Fisher, Diretor de Estratégia da Qlik:

“A aquisição dos ativos da Kyndi representa um passo fundamental na visão de IA da Qlik, apoiando a nossa capacidade de fornecer respostas ricas e confiáveis para questões de negócios complexas. Irá contribuir para a posição de liderança estabelecida em IA, garantindo que o processamento inovador de dados não estruturados da Kyndi, combinado com as nossas poderosas análises estruturadas, proporcione insights mais ricos e práticos para os nossos clientes.”

What’s next? Qlik Connect Orlando!

Esta aquisição estabelece as bases para futuros anúncios de produtos inovadores, que a empresa revelará no Qlik Connect em Orlando. O evento acontece este ano na Flórida, de 3 a 5 de junho de 2024. Ressalta, ainda, a liderança da Qlik em IA generativa, expandindo as suas capacidades e presença no mercado.
O conteúdo Qlik® adquire Kyndi aparece primeiro em F5tci.

Webinar Qlik: 10 principais tendências em dados, análises e IA

admin — Mon, 08 Jan 2024 15:53:18 +0000

Bridging the Trust Gap in Generative AI

Estamos perante um “boom” de Inteligência Artificial (IA), particularmente com a Inteligência Artificial Generativa, a prometer à força de trabalho uma nova produtividade e prosperidade. Mas cumprir essa promessa exigirá um novo modelo capaz de promover dados com melhor qualidade e mais confiáveis: “From Big to Better Data!”.

Que tendências de dados, análises e IA estão a surgir como resultado? E o que os decisores e key users precisam saber para chegar e permanecer à frente?

Inscreva-se no primeiro webinar de 2024, organizado pelo nosso parceiro Qlik, onde vão ser reveladas e exploradas as 10 principais tendências em dados, análises e IA, que impactarão a sua organização.

Aprenda a confiar na IA, no contexto do seu negócio: A inteligência artificial pode aumentar significativamente a velocidade e precisão das decisões tomadas no quotidiano da sua organização. Contudo, é preciso que alguns processos estejam alinhados, para que a implementação desta tecnologia e o seu outcome seja positivo.

Dados confiáveis representam dados valiosos: Aprenda a monetizar os seus dados. Primeiro pelo potencial que adicionam ao processo de tomada de decisão, e respetivo reflexo no crescimento do negócio. Segundo, pelo estabelecimento dos dados enquanto produto comercializável.

From Big to Better Data: é tudo uma questão de confiança!
O conteúdo Webinar Qlik: 10 principais tendências em dados, análises e IA aparece primeiro em F5tci.

Município de Matosinhos presta reconhecimento à F5tci

admin — Thu, 14 Dec 2023 10:56:19 +0000

Reconhecimento do Município de Matosinhos

PME DIGITAL

O Município de Matosinhos reconheceu à F5tci os relevantes serviços desenvolvidos no concelho, nomeadamente ao nível da criação de emprego e de valor económico gerado para a economia local.

Este ato decorreu no âmbito do Encontro de Empresários PME DIGITAL’23, uma iniciativa realizada em parceria com a Associação Empresarial de Portugal (AEP). O encontro permitiu prestar reconhecimento da qualidade de gestão de pequenas e médias empresas que se dedicam à área digital.

A F5tci, sediada no Município de Matosinhos desde 2001, felicita a iniciativa e agradece orgulhosamente esta menção!
O conteúdo Município de Matosinhos presta reconhecimento à F5tci aparece primeiro em F5tci.

Arquivo de Tecnologia - F5tci

IA confiável: O papel da arquitetura e dos dados

Artificial Intelligence: Why architecture, semantics, and trusted data are essential for confident decision-making.

💡Executive Brief

From Hype to Responsibility

Trust as the core driver of successful AI adoption

Architecture as a mechanism for mitigating hallucinations

Fabric, Azure Analytics, and the strategic role of semantics

Integration as a critical success factor

Practical pathways to move forward with confidence

Conclusion: moving towards useful, integrated, and trustworthy AI

F5tci supports organisations in defining reliable AI architectures aligned with Microsoft’s vision, ensuring coherence and return on existing investments.

25 Anos de Evolução, Crescimento e Confiança!

25 Years – A milestone that reflects the journey and shapes the future.

Analytics as a strategic pillar

A new cycle of growth

Looking ahead

It is with this culture of sharing, trust, and commitment that we step into the next 25 years—confident that it will be together—with clients, partners, and teams—that we will continue to turn data into growth… for all!

Copilot no Power BI: Nova Geração de Analytics com IA

Copilot & Power BI: For the Next Generation of Analysts!

Why is Microsoft Fabric Essential?

Caution: Copilot Limitations

Preparation Checklist

Why Move Forward?

📩 📩 Ready to see if Copilot and Fabric are the right fit for your organization?

We help design that path — with data, strategy, and simplicity.

Microsoft e Qlik renovam liderança em BI e Analytics!

Gartner Magic Quadrant 2025: Microsoft and Qlik Reaffirm Leadership in BI and Analytics Platforms

What Is the Gartner Magic Quadrant for Analytics and BI Platforms?

Key Trends for Business Intelligence in 2025

Microsoft Power BI 2025: Consolidated Leadership with Fabric and Copilot

Qlik Sense 2025: Innovation in Associative Analytics and Cloud-Agnostic Solutions

Relevance of This Report for Your Organization

How Can We Support Your Analytics Journey?

📩 Want to discuss your BI and Analytics roadmap for 2025?

Power BI no Microsoft Fabric: Visualização de dados data-driven

Power BI in Microsoft Fabric: Native Visualization for a Data-Driven Culture

What Is Microsoft Fabric?

Power BI as a Native Component of Microsoft Fabric

Direct Lake: Real-Time Data, No Compromises

Benefits of Direct Lake:

Real-World Application Example

Without external integrations and without redundant processes.

More Than Dashboards: A New Way to Do Analytics

Why Is This Integration a Game-Changer?

Do you want to turn your data into decisions quickly, visually, and in an integrated way?

Qlik Sense: Novidades do Último Trimestre de 2024

Principais Novidades no Qlik Cloud

Qlik Anonymous Access

Visualizações

Preparação de Dados

Reporting e Alerting

Augmented Analytics

Administração

Novidades no Qlik Sense Enterprise on Windows

Visualizações e Dashboards

Data & Platform

Qlik Sense: Otimize o desempenho das aplicações

Tabela de calendário genérica para todas as aplicações

Importância dos Master Items

Criação de métricas baseadas em… outras métricas!

Utilização de Bookmarks padrão

Implementação de controlo da versão

Teste estas técnicas e transforme a sua experiência de análise de dados!

Qlik® adquire Kyndi

AI-Driven Business Outcomes!

Qlik adquire Kyndi

Testemunho de James Fisher, Diretor de Estratégia da Qlik:

What’s next? Qlik Connect Orlando!

Webinar Qlik: 10 principais tendências em dados, análises e IA

Bridging the Trust Gap in Generative AI

Município de Matosinhos presta reconhecimento à F5tci

Reconhecimento do Município de Matosinhos

PME DIGITAL

A F5tci, sediada no Município de Matosinhos desde 2001, felicita a iniciativa e agradece orgulhosamente esta menção!