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)

Data behavior in different business units

Let us turn our attention to how data behaves in different business units. Why would data behave differently in different business units of the same organization? This occurs because the types of data collected, the goals of business units, and the way the data is used vary. Marketing departments might use data to track customer behavior, identify trends, and target marketing campaigns. Sales managers might use data to help their sales reps track leads, close deals, and measure performance. A finance department might use data to track revenue, expenses, and profitability over time. As you can see from these examples, three teams within the same organization have diverse needs and goals with data.

The way data is used in different business units also varies. In some cases, data is used to make decisions in real time. A marketing team might use data to decide which ads to show to which customers. In other cases, data is used to make decisions...