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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

The best advice on how to enter the BI world is to enter it by any means – through personal projects, through work or a “side quest” in your organization, or through a problem you identified in either your life or at work. Data can always help, as data is the language used in the BI world.

To wrap things up – in a typical BI project, we can find several steps, and each one is handled by a BI role, and each BI role requires the development of certain skills to be successful.

At the same time, a BI project is part of a larger picture we call a BI roadmap, and it is driven by the organic inclination of companies to generate value. A traditional BI roadmap, which every organization should have in place, should attempt to interpolate from basic analytics, including BI reports, dashboards, and ETL development, all the way to data science projects to predict internal and external factors in the operation of your organization.

Each role and BI component...

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