Vous êtes en milieu de carrière et vous cherchez à améliorer vos compétences en matière de prévision. Quelle est la meilleure façon de le faire ?

Continuous Learning: Enroll in advanced courses or workshops focused on forecasting techniques, data analysis, and predictive modeling. Platforms like Coursera, Udemy, or LinkedIn Learning offer a plethora of courses tailored to various skill levels. Mentorship and Networking: Connect with seasoned professionals in your field who have strong forecasting skills. Seek mentorship opportunities to learn from their experiences and gain insights into effective forecasting strategies. Networking events, industry conferences, and online forums are great avenues to meet potential mentors.

Eu costumava fazer um esquema de onde estava (auto avaliação) e onde queria chegar (objetivo). Traçava metas que nem sempre cumprira pois faz parte do escopo seguir não só o que vc almeja, mas o que a empresa precisa de você.

let me improve it a bit to you .......firstly if you want to forecast you may want to know its not just numbers but there are a number of considerations that you want to consider !!! Rest is if you wish then tell me who's going to secure majority in upcoming 2024 US elections? and the numbers !!!

*Understand your data sources: Forecasting relies on good data. Dig into where your data comes from and how reliable it is. Look for inconsistencies or areas that might need cleaning *Gather a wide range of data: Don't just rely on historical sales figures. Consider customer feedback, marketing campaigns, competitor analysis, industry trends, and even external events that might impact your field.

Additionally, reviewing past forecasts and their accuracy can help identify areas for improvement. Once you've identified areas to focus on, setting realistic and specific goals allows you to track your progress effectively. Enroll in different types of courses that are available over Linkedin, Udemy or coursera.

Use the tools provided by professionals in the field to improve your predicting abilities. To learn about the latest methods and trends, look into online classes, webinars, podcasts, and books. The website for Forecasting Principles is one such platform that offers helpful recommendations. Join groups like the International Institute of Forecasters to meet other professionals in the field, exchange ideas, and go to industry events. Improving one's skills and knowledge may be achieved via learning from more seasoned professionals.

In the job training OJT é o caminho mais curto e confiável para o desenvolvimento. Entretanto, a curva de aprendizagem tem um limite, caso vc não esteja respaldado por um forte embasamento teórico e um senso de discernimento acurado.

I agree, another way is also is have a mentorship program. Mentorship programs help to raise confidence, increase skills to growth.

Stay on top of your current cash position. Knowing how much you have at the end of each day or beginning of each day allows you to plan accordingly ensuring sufficient resources for each activity

Regular practice is key to improving one's predicting abilities. Participate in realistic situations on sites like the Good Judgment Project, where you may compete and get comments to help you improve. Build and fine-tune predictions utilizing pertinent data using tools like Python, R, or Excel. In order to improve accuracy and comprehend uncertainties, it is recommended to compare predictions with actual results on a regular basis and analyze any inconsistencies. Proficient and versatile forecasting is the result of constant application and study.

Morra e renasça. Ouvi isso uma vez só. E a forma de entender e aplicar esta filosofia oriental varia entre indivíduos. Eu entendo como encorajamento para se expor a realidade das críticas e incertezas das suas convicções. O mundo não acaba quando seus erros são expostos, mas todos reconhecem que vc tem personalidade e autoestima para agir da mesma forma, com mais maturidade da segunda vez.

Você vai ouvir feedbacks. Positivos e negativos. Cuidado com os positivos porque podem te iludir em uma bolha. Cuidado para filtrar corretamente os negativos sem fundamentos. Go and see. Mensure você mesmo o impacto de suas ações em outras áreas- fora da caixinha.

Stay curious. This is perhaps the best skill one can have. Once you’re curious and are willing to ask questions you will definitely master any area/skill you’re interested in. Most of the freshers I have seen throughout my professional career are either afraid to ask questions because they think it will degrade them in the eyes of the team, or they think that what they already know is enough to get the work done. While it’s not the case with estimating project costs and creating forecasts based on current performance. The dynamic and rapidly growing world of project management requires us to look at problems from various perspectives and seek others’ ideas. This will enable us to solve the multi-dimensional problems in today’s world.

Continuous Learning: •Stay updated on industry trends: The business world is constantly evolving. Follow industry publications, attend seminars, and network with other professionals to stay ahead of the curve. •Seek feedback and iterate: Forecasting is rarely perfect. Regularly review your forecasts and see how accurate they were. Use that information to refine your approach over time.

Não parece mas este escopo vai te ajudar a enxergar quem você é. Se você gosta do que faz, irá respirar o que faz, se atualizar e ser atum hobby. Se não acontecer assim, avalie o que você gosta de ler e fazer fora da empresa. Talvez você tenha nascido para isso.

1. The Growth Mindset Perspective: A growth mindset, as popularized by psychologist Carol Dweck, emphasizes that abilities can be developed through dedication and hard work. This mindset is crucial for improving forecasting skills. 2. Diverse Learning Channels: Learning isn't limited to formal education. It happens through various channels: books, podcasts, webinars, conferences, and even casual conversations. 3. Data-Driven Learning: Forecasting relies heavily on data analysis. 4. Feedback Loops and Reflection: Feedback accelerates learning. Regularly reviewing past forecasts and outcomes provides valuable insights. 5. Interdisciplinary Insights. 6. Scenario-Based Learning. 7.Learning from Failures. 8.Holistic Learning Ecosystems.

Choose the Right Tools: •Learn about different forecasting methods: There's no one-size-fits-all approach. Explore techniques like moving averages, exponential smoothing, or regression analysis to see which works best for your situation. •Leverage software and models: Many software programs can help you analyze data and build forecasting models. Explore what's available in your field . Communication is Key: •Clearly communicate your forecasts: Don't just present numbers. Explain the assumptions you made and the limitations of your forecast.