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)

How to Become Proficient in Analyzing Data

At this point, you might be working for an organization or are about to start a project, and you are wondering what to do first and how to keep improving your skills. Like everything in life, we have to take it step by step. This chapter will focus on a methodical approach to navigate through the ocean of data. Remember that it is easy to get lost in the different analysis techniques and methodologies, but it is imperative that you develop your own discipline and rhythm. In this book, we will give you some advice and examples on how to tackle a data project, the minimum sequential steps you can take, and a routine if you do that will serve as the basis for your future projects.

This is not a final recipe, nor is it supposed to be the norm, but it will help you create, as quickly as possible, a picture of the roadmap your data journey will take you through, thus helping you navigate it. These are minimal common-sense steps that will spark your creativity. Most of your work is not quantifiable and is not an algorithm; it takes deviations, branches out and comes back to the original point, and moves far away to a different path. This is supposed to give a sense of order to a chaotic enterprise.