Machine Learning, Data analytics and AI

 As a data analyst, developing a habit of looking at things through the lens of data can significantly enhance your professional capabilities. You begin to realize that data is pervasive, and as you navigate through life, you constantly generate new data and contribute to the vast amount of data present around you. This realization underscores the importance of being aware of the data in your surroundings and how it can contribute to your success in your role as an analyst. By being mindful of the data present in your surroundings, you open yourself up to a myriad of opportunities for extracting valuable insights. Here are a few ways in which this awareness can help you excel in your job: Identifying relevant data sources: By understanding the data landscape around you, you can identify potential sources of information that could be valuable for your analyses. This could include internal data sources within your organization, publicly available datasets, o...

  As an analyst, dashboards have become essential for project conclusions. However, selecting the right dashboard can be challenging due to diverse stakeholder needs. Some require comprehensive summaries, while others prefer concise overviews. Striking a balance between complexity and simplicity is crucial. Understanding stakeholder preferences is important, but there's more to it. The continuous feedback loop, influenced by varying perspectives, plays a role. While it can cause project delivery delays, it's a vital part of effective communication. Although often underestimated, effective communication is key to project success. While analysis is conducted within the given timeframe, failure to communicate it properly can hinder project delivery. Allocating sufficient time for communication is crucial, as it ensures stakeholders understand and appreciate the conducted analysis. By recognizing the importance of striking a complexity-simplicity balance, understanding stakeh...