You're aiming to excel in BI. How can you harness data virtualization tools to propel your career forward?

First step for excelling BI is to understand the data elements. Example- if you are working in a procurement department understand all the fields and its data definition. Once you understand the data definition relationship is the next step. With these steps you will be able to take the next step to enhance your knowledge of data aggregation and its usage in the eco system. With the solid knowledge of data definitions, relationships and how to aggregate you will be able to excel and visualize the data to provide meaningful insights.

Solid data manipulation skills and BI tools utilization are necessary foundations. However, another almost equally crucial element is the understanding to your user. In this era of data, a very common mistake is to build a fancy dashboard regardless of users needs, which may cause this dashboard have low adoption rate. Try identify some key users to your visualizations, meet with them and learn about their work. Understand what's most important to them and what's considered success to them. After that build a dashboard with these in mind. This approach will result to a significantly more successful dashboard with faster growth in active users base.

Data is essential in today's world, encompassing the collection, storage, cleaning, analysis, visualization, and interpretation of information. It enables informed decision-making, predictive analysis, efficiency improvements, and innovation across various fields like business, healthcare, and finance. By mastering these fundamentals, you can uncover valuable insights and drive strategic initiatives

Comprehensive understanding of the data sources, definitions and required cleaning / integration / transformations to facilitate interpretation of data and compilation of key metrics is essential (i.e. ETL). This will support effective validation, good definition of requirements for optimal configuration of any tooling and insightful reporting or dashboarding.

One key insight I’ve found useful is the importance of fully understanding the data before moving forward. You need to know the data points, tables, columns, entities, and their attributes, along with the relationships between different entities. It’s also essential to have a clear understanding of the types of values each field contains. Once you have this clarity, you can then move to the next step—defining what kind of views or insights you can create using this data. Thorough preparation at this stage sets a strong foundation for successful data-driven decision-making.

Com a crescente demanda por informa??es relevantes e muitas vezes a necessidade de respostas rápidas que impactam o negócio, a análise de métricas para obten??o dos indicadores se torna um processo que exige agilidade e assertividade ao mesmo tempo. Com a virtualiza??o dos dados, o que antes poderia levar horas ou dias poderá ser feito em poucos minutos ainda que os dados estejam em diferentes fontes ou estruturas, aproximando cada vez mais o tomador de decis?o e as respostas que está buscando.

Data virtualization streamlines data access by eliminating the need for replication, allowing real-time interaction with multiple data sources. This agility enhances business intelligence by speeding up insights and adapting quickly to changing business demands. Mastering it empowers more efficient and flexible data management.

Mastering data virtualization is key to streamlining data access across multiple platforms without replicating data. From my experience, this reduces complexity and enhances efficiency, allowing me to analyze datasets faster and make more informed decisions. Virtualization tools help me manage and present data in a way that adds immediate value to BI projects.

Abstracción de Datos: Permite a los usuarios interactuar con los datos sin preocuparse por cómo y dónde se almacenan físicamente. Esto significa que la complejidad de las diversas fuentes de datos y sus formatos se oculta detrás de una capa de virtualización.

Data virtualization is an excellent tool to boost the performance of any BI solution. From my experience implementing BI solutions with integrated AI capabilities, I’ve found that establishing a robust data governance framework is essential to fully leverage the benefits of data virtualization. Close collaboration with key stakeholders, including IT and functional teams, is crucial for defining and maintaining strong data governance. This ensures the integrity, security, and accessibility of data, ultimately optimizing virtualization efforts and enhancing overall BI agility.

Real-time insights are at the core of the solutions my team and I are implementing this year, particularly in the area of Spend Visibility. By harnessing real-time data, our Category Managers are empowered to make informed procurement decisions, develop more effective category strategies, and conduct smarter analysis of spending across all categories. Data virtualization tools play a pivotal role in delivering this immediacy, enabling our organization to remain agile and responsive in a fast-paced business environment.

One of the key advantages of using data virtualization in BI is access to real-time insights. From my experience, being able to retrieve data from the source as it’s updated allows me to make informed decisions swiftly. Real-time data improves the accuracy of business forecasts and helps teams stay agile in a fast-moving environment.

Acceso en Tiempo Real: Ofrece acceso en tiempo real a datos de diferentes fuentes, ya que no requiere la replicación de datos en un almacén centralizado. Esto facilita el análisis de datos y la toma de decisiones con información actualizada.

Eu concordo com as frases escritas aqui. O processo de BI tem q ser rápido, seguro e eficaz. As decis?es necessitam de rapidez e os processos de compliance tem que ser respeitados.

Dans le monde d’aujourd’hui, attendre une journée pour obtenir des insights n’est plus une option. La virtualisation des données vous permet d’obtenir des informations en temps réel, ce qui vous permet d’agir immédiatement. Cette rapidité de réaction est cruciale pour rester compétitif et pertinent.

Data virtualization enhances collaboration by providing a single virtual view of data from multiple sources, allowing teams across departments to work with the same information. This unified approach eliminates data silos, leading to more cohesive decision-making and teamwork in BI projects. The result is improved collaboration and efficiency, which are essential in data-driven environments.

Integración de Datos: Facilita la integración de datos provenientes de diversas fuentes, como bases de datos, aplicaciones empresariales y servicios en la nube, sin necesidad de mover o duplicar los datos.

La virtualisation des données efface les frontières entre les équipes. En offrant une vue unique des données, tout le monde est sur la même longueur d’onde. Cela réduit les conflits, élimine les silos d’informations et stimule la collaboration. Une équipe unifiée est une équipe plus performante.

Ao centralizar dados em uma plataforma virtual, você facilita a colabora??o entre equipes e departamentos, promovendo o compartilhamento de informa??es, a tomada de decis?es alinhadas e a resolu??o conjunta de desafios. Essa integra??o fortalece o trabalho em equipe e a capacidade de gerar solu??es inovadoras.

Si vous cherchez à rester compétitif dans la BI, la ma?trise des outils de virtualisation est essentielle. En apprenant à manipuler des sources de données variées sans duplication, vous développez des compétences stratégiques. Ajoutez à cela la ma?trise des requêtes SQL et vous devenez incontournable pour toute organisation.

Improving your skills in data virtualization will not only expand your technical expertise but also enhance your ability to handle complex data environments. Understanding how to query multiple data sources and ensuring data governance and security will make you a more valuable asset. Continuous learning in these areas will ensure that you remain competitive in the fast-paced world of BI.

Nowadays is really important to have at least a basic SQL queries understanding and data quality and governance mindset. These topics are no longer a technical responsibility but a business task.

Enhancing skills in Business Intelligence (BI) through tools like Excel, Power BI, and SQL is crucial for anyone looking to excel in data analysis and decision-making. 1) Excel: Great for handling and analyzing data. 2) Power BI: Excellent for making interactive data visuals. 3) SQL: Key for managing and querying large datasets. Combining these skills allows you to handle data end-to-end, from extraction and transformation to visualization and reporting. Continuous learning and practice in these areas will keep you at the forefront of BI advancements.

O domínio de ferramentas de virtualiza??o de dados demonstra sua capacidade de se adaptar a novas tecnologias e de extrair insights valiosos a partir de informa??es complexas. Esse conjunto de habilidades fortalece seu perfil profissional e o torna mais atrativo no mercado de trabalho em Business Intelligence.

Concordo!!! pela sua empregabilidade, é necessário ter rapidez, controle, organiza??o para que esse processo seja eficaz. Pelo lado do profissional, ter experiência e aplicar as ciências e metodologias, será bem compensadora.

Stay up-to-date on the latest trends and technologies in data visualization. Network with other professionals.Volunteer for projects, attend conferences, and take on new responsibilities.Highlight your data visualization accomplishments. Tools like Tableau, Power BI, Python libraries (e.g., Matplotlib, Seaborn, Plotly), R packages (e.g., ggplot2) can be Key Data Visualization Tools to level up your game.

Embracing data virtualization is a fantastic way to elevate your career in BI! Proficiency in these tools showcases your ability to streamline data processes and drive impactful business outcomes. As organizations increasingly prioritize informed decision-making, having this expertise can set you apart and open doors to leadership opportunities and higher-level positions.

The higher you go in your career the less you're going to code or query in a daily basis, but in order to get there knowing how to manage data, blend data get to the data sources will boost that career path. The decisions are going to be taken with insights, critical thinking and facts, not just opinions or gut feelings.

Ao se destacar no uso de solu??es de virtualiza??o, você se posiciona como um profissional versátil, com habilidades analíticas e de resolu??o de problemas. Essa expertise pode impulsionar sua ascens?o a cargos de lideran?a e tomada de decis?o estratégica, abrindo novas oportunidades de crescimento em sua carreira em BI.