Book Image

Business Intelligence Career Master Plan

By : Eduardo Chavez, Danny Moncada
Book Image

Business Intelligence Career Master Plan

By: Eduardo Chavez, Danny 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)

Summary

Data proficiency and subject matter expertise are essential skills in today’s data-driven world. As organizations face increasing volumes of data, it is imperative to have professionals who can effectively analyze and interpret this wealth of information. Professionals with a strong command of data analysis and interpretation can navigate complex datasets, uncover valuable insights, and make informed decisions. However, the journey toward data proficiency can be challenging, requiring continuous learning as well as staying up to date with the latest tools and techniques.

Data challenges encompass issues such as data quality, integration, and governance. Overcoming these challenges requires a strong understanding of data management practices and leveraging online tools that facilitate data analysis. To overcome these data challenges, BI professionals need a strong understanding of data management practices. This includes implementing data quality checks, data cleansing...