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Business Intelligence Career Master Plan

Business Intelligence Career Master Plan

By : Chavez, Moncada
4.8 (12)
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Business Intelligence Career Master Plan

Business Intelligence Career Master Plan

4.8 (12)
By: Chavez, Moncada

Overview of this book

Navigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.
Table of Contents (12 chapters)
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Summary

When presenting data, you want to communicate the message the data conveys. That is the number one priority – that, at least, your audience is able to interpret the output of your research. In this chapter, we analyzed how to achieve this by implementing critical steps in your project:

  • Know your audience. What are their interests? What do they need to know? What level of detail do they want?
  • Tell a story. Data is more than just numbers and charts. It’s a story about your business, your customers, and your results.
  • Make it actionable. What do you want your stakeholders to do with the information you’re presenting? Give them clear next steps.
  • Keep it simple. Use visuals and clear language to make your data easy to understand.
  • Practice. The more you practice, the more confident you’ll be when you present your data.

Communication skills will always give you a boost, so think about starting with a strong introduction. Grab...

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