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

This chapter aims to elevate your proficiency, enabling you to provide your end users with functionalities that extend beyond the standard features offered by every tool. It’s important to recognize that as we delve deeper, the complexity increases. This can be illustrated through a chart correlating the progression of time with the level of programming required to achieve these advancements.

Remember—BI is not a final destination; it’s a journey. There isn’t a single linear path; rather, it’s a road that diverges, intersects, and loops back onto itself. Sometimes, it extends endlessly. BI is not a one-way street; it evolves with the advent of new technologies and emerging requirements. BA takes a more proactive approach in the quest for insights. Data science, meanwhile, is a comprehensive effort involving a dedicated team and specialized tools to explore both the industry and the organization itself.

Ultimately, it’s essential...