Como você melhorou suas habilidades de entrada de dados?

Every second counts when you're working with thousands of rows of data! ⏳ Learning basic shortcuts like Ctrl+C (copy), Ctrl+V (paste), Ctrl+Z (undo), and Ctrl+S (save) is just the beginning. Once you dive deeper into stuff like Ctrl+Arrow keys to jump between cells in Excel or Alt+Tab to switch between windows, it feels like you’re moving at lightning speed. It’s not just about speed either — it keeps your workflow smoother and reduces mistakes because you’re staying focused on the screen, not fumbling around ⚡🎯 I always encourage my team to spend just 15 minutes a week learning new shortcuts. It’s such a small investment for a huge payoff! 📈

Outros atalhos muito útil é - Ctrl X (recortar) - Ctrl p (imprimir) - Ctrl s (salvar) - Windows D (minimizar todas as páginas)

I improved my data entry skills through regular practice, mastering shortcuts, and building accuracy by consistently reviewing and double-checking my work.

We have to know the write shortcuts in keyboard and also pay alot of attention to the new data or something we arent familiar with.

Using keyboard shortcuts makes your work faster, smoother, and more efficient. You save time by reducing mouse clicks, stay focused on your task, and make fewer mistakes. Over time, this boosts your productivity and gives you more confidence in handling data or any computer-based tasks.

Les raccourcis clavier sont mes meilleurs amis. Apprendre et maîtriser les raccourcis clavier pour les actions courantes (copier, coller, sélectionner, naviguer entre les champs) a transformé ma productivité. C'est un investissement de temps initial qui rapporte gros à long terme.

I've improved my data entry skills by focusing on attention to detail and accuracy. Regularly reviewing and organizing data before entry has helped reduce errors. Additionally, embracing automation tools and integrating workflow improvements has increased my efficiency.

En mi experiencia esto a contribuido a volverme mas independiente y ágil. Además una vez aprendes lo básico te vuelcas a aprender nuevos conceptos como inicio + v o shift + inicio + s y luego el cielo es el limite. :-D

A entrada de dados é fundamental para a interação do usuário com o computador e para a realização de diversas tarefas. Esse processo consiste em receber os dados do mundo real, por meio do que é digitado ou da ação do mouse, por exemplo. Após isso, mostramos a informação processada ao usuário, o que pode acontecer por meio da tela, uma impressão ou ainda a gravação em um arquivo. Validar toda etapa é fundamental.

A validação de dados é fundamental quando trabalhamos com informações, pois ajuda a definir padrões e evita que os usuários insiram dados de forma incorreta ou inconsistente.

Excelente abordagem! A validação de dados é um passo fundamental para garantir a qualidade das análises. Utilizo bastante em planilhas e bancos de dados para evitar entradas duplicadas ou fora do padrão esperado. Ferramentas como listas suspensas, regras de preenchimento e alertas automáticos fazem toda a diferença na integridade das informações, especialmente quando lidamos com grandes volumes de dados.

1. Conscientização da equipe com exemplos práticos de "inputs" e as consequências para quem analisa os dados e toma as decisões amparados neles; 2. Eliminação de digitação através de ListBox e ComboBox, SelectBox, etc.. pré-cadastrados, e aplicação de scripts no "user form" (for events on change field). Exemplo: "campos requeridos", "KeyField duplicado", etc..; 3. Tratamento de inconsistências com Power Query ou macros para quem domina o VBA. 4. Feedback/lapidação em grupo e depois individualmente e de forma sigilosa através dos "logs users" obtidos. #marketing #opentowork #buscandoemprego #sorocaba #brazil

Data validation tools improve accuracy by preventing errors like typos, duplicates, or wrong entries. They let you set rules (like only numbers or dates) and use features like drop-down lists or checkboxes to make data entry easier and more reliable. This helps you save time, reduce mistakes, and build clean, consistent data.

La validation des données en temps réel, un gage de qualité. Utiliser des outils ou des méthodes qui permettent de vérifier l'exactitude des données au moment de la saisie (alertes en cas d'erreur, formats prédéfinis) réduit considérablement le besoin de corrections ultérieures.

Doing everything manually — it's exhausting and slow 😅 Once we started exploring tools like Google Sheets add-ons, Zapier, and different CRM platforms, things changed big time 📈 Using the right software doesn't mean you're being lazy — it means you're being smart 🧠 Good tools can catch errors, auto-fill repetitive fields, or even pull data from different sources for you. This saves a ton of time and helps keep everything more accurate. Plus, it frees you up to focus on more complex tasks where human judgment is actually needed ✅ Learning to work with helpful tools is just as important as typing fast or knowing all the keyboard shortcuts. It’s all part of becoming a true pro in the data world 🎯🌟

We still work with a lot of non-digitalized information: handwritten notes, agendas, calendars... While OCR tools (like Adobe Acrobat) have improved, they often fail to understand context—missing tables, dates, or logical groupings. AI changes that: now we can take a photo or scanned PDF and extract structured text, correctly interpreting its format and meaning. Important: never use sensitive information. With just an image, ChatGPT can return plain text, tables, or agenda items organized by date. A powerful way to turn scattered data into useful, context-aware information.

Investir dans un bon logiciel de saisie fait la différence. Un logiciel ergonomique, avec des fonctionnalités d'auto-complétion, de modèles personnalisables et une interface claire, peut rendre la tâche de saisie beaucoup plus efficace et agréable.

Natural speed and attention to detail aren't enough to stay competitive. You have to keep learning 📚💡 Taking structured courses helped my team not only refresh basic skills but also discover better techniques, smarter workflows, and even new tools we hadn’t used before. Plus, courses often teach little tricks that you wouldn't just "figure out" by yourself. Things like data validation, better formatting practices, or even time-saving shortcuts that make a huge difference day-to-day 🔥 I always encourage my team to invest a few hours each month into learning something new — because staying sharp is what keeps us ahead of the game 💪📈

La formation continue, même sur les bases, est essentielle. Participer à des formations spécifiques sur la saisie de données, même courtes, permet de découvrir de nouvelles techniques, des astuces et des outils pour optimiser son travail.

Another way is to incentivise or add value to data entry. Most people input data in their role, whether inputting a clients details into a CRM, writing documents or adding details for reports. Providing people with an understanding of the value of accurate data, can improve individuals willingness to use systems. Increasing practice time and improving efficiencies.

Regular data entry practice helps in working faster and more accurately while handling reports, dashboards, and financial data. It improves confidence in managing large datasets, ensures fewer errors, and helps identify areas we can streamline. Practicing with different data types—like resource records, financial figures, or user reports—also sharpens attention to detail and supports better decision-making.

L'entraînement régulier, c'est la clé ! Tout comme pour un sport, la pratique quotidienne et ciblée de la saisie de données permet d'améliorer significativement la vitesse et la précision. Des exercices spécifiques axés sur les chiffres, les caractères spéciaux ou les longs textes peuvent être très bénéfiques.

One super effective (but often underrated) way to improve your data entry skills is to seek and receive feedback from others 🙌💬 Getting input from clients, teammates, or even managers helps you spot small mistakes you might overlook 👀✨. It also shows you areas where you can speed up, organize better, or improve accuracy. Sometimes, it’s hard to see your own blind spots — that’s why an outside opinion is golden 🔥 In our team, we have a pretty casual system where we regularly check each other’s work and share helpful tips (never criticism for the sake of criticism — it’s all about growth 💪). Over time, it builds not just better skills, but also trust and team spirit 🫶

Además de conocer los atajos clásicos del teclado, es muy importante la práctica y evitar los errores. Tener una velocidad de tipeo muy rápida también uno es más propenso a cometer errores, por eso es recomendable contar con un verificador, que se encargue de verificar la información introducida por el digitador.

The ideal approach is to structure the data before starting, to reduce mistakes. I began using data validation and automating repetitive tasks with macros to speed things up. I also decided to review everything carefully, and creating checklists became essential to ensure consistency. The best strategy is to practice regularly and be patient, in order to improve both speed and accuracy, especially in large projects. This way, I managed to make the process more efficient and reliable!