DataCentric

Data visualisation transforms complex data sets into visual and intuitive formats that can be easily understood and acted upon, but its true effectiveness relies on its ability to engage users and drive actionable insights.   Understanding how users engage with data visualisations, and the overall experience they have while doing so, allows for the improvement of those visualisations and the consequent transformation of data into a powerful tool that drives meaningful decision-making.   📣 Data visualisations should be used to empower a specific audience and address their needs.    So, what metrics can you use to leverage the user engagement with your data visualisations? Check out these 5 tips! 👇   𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 The way users interact with data visualisations (e.g., click, zoom in or hover) helps to identify which visuals capture more their attention and interest.   𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧 The more time users spend with a specific data visualisation, the more likely they are to find that data compelling and informative.   𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧  Understanding how users navigate through the different data visualisations helps to enhance the user experience with more intuitive and user-friendly designs.   𝐃𝐚𝐭𝐚 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 The frequency of access and return visits to certain visualisations can indicate which datasets are most valuable to users.   𝐔𝐬𝐞𝐫 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 Collecting and analysing feedback from users provides direct insights on how to evolve and optimise data visualisations.   Count on us at DataCentric to make your data more intuitive and impactful! 📈   #datacentric #analytics #data #datascience #meaningfuldata #technology #business #datavisualisation #impact

The ever growing data-driven way of doing business creates an urgent need for Data Engineers, who play an essential role in our team at DataCentric. They are the hidden heroes behind our data success cases! Long story short, 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐛𝐮𝐢𝐥𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐨𝐥𝐥𝐞𝐜𝐭, 𝐦𝐚𝐧𝐚𝐠𝐞 𝐚𝐧𝐝 𝐜𝐨𝐧𝐯𝐞𝐫𝐭 𝐫𝐚𝐰 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐮𝐬𝐚𝐛𝐥𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐛𝐞 𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐞𝐝. There are four core groups of data engineer roles, each one with a large variety of skills, tools, and systems. 👀 Here’s a sneak peek: 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐬𝐭𝐬
 Involved in all aspects of data collection, storage, analysis and movement. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭𝐬
 Responsible for setting up and managing databases, data warehouses and big data systems. 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭𝐬 They create and manage the flow of data through scripts and data pipelines. 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭𝐬 
 They are familiar with the tools that support analytical projects (ETL, Big Data systems, Power Bi…) as they work closely with data scientists and other analytics professionals. If you’re a Data Engineer wanting to unleash your full potential, come work with us and learn from a team of real experts! 🚀 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #dataengineer #engineering 

Customer experience has become a top priority for businesses today, representing a significant opportunity to stand out among competitors. Through personalised interactions; 24/7 support; behaviour and trends prediction; seamless multichannel experiences and security policies that foster trust, AI is elevating customer experience to unprecedented levels. But as we head into the future, AI is set to play an even larger role in customer experience! 🚀 Check out how: 🙃 𝐄𝐦𝐨𝐭𝐢𝐨𝐧 𝐀𝐈 
Imagine a machine customer service that understands not only what you’re saying but also how you feel, simply by analysing your face expressions or voice sound? 🔎 𝐈𝐦𝐦𝐞𝐫𝐬𝐢𝐯𝐞 𝐀𝐈 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 AI’s integration with Augmented Reality and Virtual Reality is already allowing customers to try new clothes in a digital avatar before purchasing or to see how a piece of furniture looks in a room. 🧠 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 The intelligence of these advanced AI systems will allow for tailored experiences on a super level of personalisation. ⚡𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 Quantum computing will allow for real-time personalisation and actual instant responses to customer actions. 🤝 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐓𝐫𝐮𝐬𝐭  With the growing sophistication of AI systems, customers will understand better how their data is processed and how decisions are made, leading to an increased trust in AI-powered customer experiences. AI is really transforming the customer experience, by creating unique, immersive and emotionally intelligent interactions that respect each customer as an individual. Contact us now and put your customer service ahead of the game! 🚀 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #cx #customerexperience #artificialintelligence #ai #future #trends

When it comes to change, people have a tendency to resist it. Business Intelligence projects are transforming the way organisations make decisions, but one of the main hurdles relies precisely on the human factor, as employees don't automatically recognise the potential of BI solutions. Instead they see it as extra work! 😬 To overcome resistance and drive user adoption, you need a strategic approach focused on the people! 💪 Swipe left and check our tips to increase BI user adoption in your business! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #businessintelligence

In the context of Business Intelligence projects where sensitive data is collected, stored and analysed, Data Security is a critical concern for businesses. As Data experts, we are always looking for ways to leverage the right tools and strategies to enhance the security of BI initiatives, ensuring robust protection systems for the data assets of our clients. 🔐 Help us improve our offer by answering this poll, please! And of course, feel free to share your thoughts on the comments below 👇 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #datasecurity

Save this for later and get in touch when you’re ready for your business transformation! 🚀   #datacentric #analytics #data #datascience #meaningfuldata #technology #business #ai #digitaltransformation

Check out these amazing photos of our recent team event where we had the chance to bond outside our office walls! 🤩 Events like these are truly special as they fuel our will to go further and face new challenges as a team! Cheers to us! 🥂 May we always sail together (and drink good wine)! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #teamwork #team #teambuilding

Check out these amazing photos of our recent team event where we had the chance to bond outside our office walls! 🤩 Events like these are truly special as they fuel our will to go further and face new challenges as a team! Cheers to us! 🥂 May we always sail together (and drink good wine)! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #teamwork #team #teambuilding

To meet growth demands and ensure the optimal performance of their businesses in this ever-evolving digital era, organisations around the globe have a huge necessity for reliable scalability in software development and deployment. Efficiency and portability are crucial aspects! Docker, an open platform for developing, shipping, and running applications, allows developers to package applications and their dependencies into containers that are lightweight, portable and can run consistently in any environment (on-premises systems, cloud servers or container clusters), hence providing an easy and trustable way to create isolated environments and automatically scale them up or down. 👀 𝐓𝐚𝐤𝐞 𝐚 𝐜𝐥𝐨𝐬𝐞𝐫 𝐥𝐨𝐨𝐤 𝐚𝐭 𝐃𝐨𝐜𝐤𝐞𝐫’𝐬 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐭𝐨 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐬𝐜𝐚𝐥𝐞 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐬𝐞𝐝 𝐰𝐨𝐫𝐤𝐥𝐨𝐚𝐝𝐬: 🔁 𝐏𝐨𝐫𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Despite of the environment you’re working on, the Docker container will run the same way, ensuring consistency across all steps of the application lifecycle, and making it easy to migrate applications between different environments seamlessly. ⏭️ 𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 With container orchestration tools such as Kubernetes or Docker Swarm, Docker allows you to quickly adapt the capacity of your application according to demand. ▶️ 𝐀𝐮𝐭𝐨-𝐒𝐜𝐚𝐥𝐢𝐧𝐠 Docker’s auto-scaling mechanisms automatically adjust the number of container instances based on predefined metrics, e.g., CPU utilisation, memory usage or incoming traffic, ensuring that resources are allocated efficiently and that applications can handle changes in workload without the need of manual intervention. ⬆️ 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 Compared to traditional virtual machines, Docker containers are much lighter, contributing to minimise hardware costs and ease resource management. ↔️ 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 Docker provides built-in support for load balancing which is essential to ensure the efficient distribution of traffic among containers and guaranteeing an optimal performance. 🆗 𝐒𝐞𝐥𝐟-𝐇𝐞𝐚𝐥𝐢𝐧𝐠 With self-healing mechanisms, Docker helps maintain the desired state of your application, reducing downtime and ensuring high availability. 🎦 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 Docker offers effective monitoring and logging tools that are essential for identifying performance bottlenecks, tracking resource utilisation and troubleshooting issues in containerised environments. 📶 𝐅𝐚𝐬𝐭𝐞𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Docker reduces compatibility issues, speeds up the development cycle and automates the deployment process, saving time and reducing errors. If you want to take advantage of Docker’s many benefits in your software development process, contact us! We’re glad to help your business grow! 🚀 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #dockers #containerisation #devops

Looking for data expertise to grow your business? We are the partner you need! 🚀 At DataCentric we enable our clients to uncover new insights and make faster, informed business decisions, by providing visual analytics and self-service discovery. And yes: the best São João is definitely at Porto! 🥳 Enjoy it! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #techhub #porto