What do you do if you need to make sense of data as a remote worker?

As per my understanding a remote worker making sense of data, start by understanding the context and objectives of the data analysis. Familiarize yourself with relevant tools and software for data manipulation and visualization. Collaborate with team members to gain different perspectives and insights. Break down complex data into manageable chunks and focus on key metrics that align with your goals. Utilize online resources and training programs to enhance your data analysis skills. Document your findings and share them effectively with stakeholders. Lastly, seek feedback and iterate on your analysis process to continuously improve and make informed decisions remotely.

O domínio do processo e quais procedimentos foram usados na elabora??o do material é fundamental. Aconselho conversar, antes de analisar os dados, com quem alimentou o banco de dados e sobretudo entender o objetivo que se deve alcan?ar com essa análise.

1 Ask questions about the meanings of the metrics and their significance in the company 2 Familiarize myself with KPIs so I know what data points to look out for, or to incorporate into my finding 3 Understand how data in the data set is aggregated and how the viewer would like to see my insights aggregated 4 Ensure cleanliness of data, i.e. complete information, identification and correction of duplicate values 5 Learn how to standardize findings across multiple events within a project 6 Most importantly ask questions as I go and seek feedback when doing something new as to make sure I’m on the right track

As a remote worker tasked with making sense of data, a systematic approach is key. Begin by gathering accurate and comprehensive data from trusted sources, then organize it in a structured manner for analysis. Utilize analytical tools and critical thinking to assess data quality, identify patterns, and evaluate implications. Contextualize the findings by considering relevant factors, such as industry trends or historical data, and draw meaningful insights. Finally, communicate the findings effectively to stakeholders using clear language and visualizations, ensuring informed decision-making and actionable recommendations.

Trabalhando remoto as ferramentas de nuvem s?o muito bem-vindas, usar planilhas e editores de documento online s?o muito boas alternativas. Dividir em diferentes períodos a leitura de dados pode ser legal, por ex.: leio primeiro todos os dados sobre um tópico, fa?o conclus?es e depois passo pelos outros tópicos e depois de tudo isso anotado eu passo para as correla??es complexas entre dados de diferentes categorias.

In excel, a pivot table is often a great first step. To quantify costs revenues counts and more, categorize findings into multiple buckets, even create sub categories within those buckets, what are you seeking to know about how your data behaves, categories and sub categories can let you see anything from the larger picture to the specific details, this can indicate the direction to go in goal setting To graph, start with questions, if seeking insights on the relative parts of a whole to gain portfolio knowledge pie and circle graphs are great. To see the evolution of results over time I prefer a line graph, especially with multiple plots to compare trends of multiple items alongside eachother

Dentro do virtual e em simula??es de dados muita coisa pode n?o refletir a realidade. Compare com seu dia a dia, será mesmo que a média de consumo de alimento por dia de cada funcionário é do 40 quilos? é legal retirar os "outliers" ou refazer o processo de análise de dados sempre que houver inconsistências. Compartilhar com pessoas da equipe pode ser um bom validador de correla??o com a realidade.

Start by organizing your insights logically, ensuring they're easy to understand. Use visual aids like charts or graphs to illustrate complex data points. For instance, if you're analyzing sales figures, create a graph comparing monthly trends. When presenting findings, focus on key takeaways and avoid jargon. This approach helps colleagues grasp the significance of your analysis, fostering better decision-making across the team.

First, organize your data logically—use spreadsheets or data visualization tools like charts. Break down complex data into smaller chunks; it’s like sorting puzzle pieces. Next, look for trends or patterns; it's like finding clues in a detective story. For example, spotting a sales spike after a marketing campaign. Then, cross-check your findings with others or seek feedback; two heads are better than one. Finally, use your insights to make informed decisions. It’s a bit like playing chess—thinking ahead based on the board's layout. By using this method, you turn raw data into actionable strategies!

"Time to reflect and shine a light on our data journey! ??After crunching numbers and making moves, let's pause and ponder. What worked like a charm? What needs a little TLC? By reflecting on our data dive, we sharpen our analytical skills and pave the way for smoother sailing ahead! #ReflectToPerfect #DataJourney" From my experience in customer service, I've seen how reflection transforms raw data into actionable insights. It's like polishing a gem - the more we reflect, the brighter our analysis shines! So let's dive deep, reflect, and emerge with newfound clarity and confidence in our data-driven decisions.

Expand your network and speak to the business experts who are able to shed a light on the data you are working with. This will not only support your work, but build a two-way connection which is critical when working remotely.