Business Intelligence Career Master Plan: Launch and advance your BI career with proven techniques and actionable insights

Business Intelligence Career Master Plan: Launch and advance your BI career with proven techniques and actionable insights book cover

Business Intelligence Career Master Plan: Launch and advance your BI career with proven techniques and actionable insights

Author(s): Eduardo Chavez (Author), Danny Moncada (Author)

  • Publisher: Packt Publishing
  • Publication Date: 31 Aug. 2023
  • Language: English
  • Print length: 224 pages
  • ISBN-10: 1801077959
  • ISBN-13: 9781801077958

Book Description

Learn the foundations of business intelligence, sector trade-offs, organisational structures and their choice of technology stacks while equipping yourself with potential coursework, certifications and interview success strategies

Key Features

  • Identify promising job opportunities and discover the ideal entry point into the BI profession
  • Architect, design, implement and maintain BI systems
  • Access author’s recommendations on certifications, trainings, and courses to ace your BI interview

Book Description

Navigating the challenging path of a business intelligence career requires considering individual expertise, interest, and skills. This book explores key skills like data modeling, visualization, and warehousing, alongside organizational structures, technology stacks, coursework, certifications, and interview advice, thus enabling readers to make informed decisions about their BI journey.

The book will begin by assessing the different roles of BI and provide an in-depth walkthrough of the roadmap while helping you match your skills and career with the tech stack in business intelligence. The book will then teach you to build taxonomy and a data story using visualization types. You would be learning the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management to give you a broad-level view of the end-to-end BI process. This book will also help you to identify what subjects and areas are crucial to study and what does not add much value to your BI skill set. You would be able to find the right job fit and build a business problem and data solutions matrix.

By the end of this book, you would be able to make an informed, well-thought-out decision on which of the myriad paths to choose in your business intelligence journey.

What you will learn

  • Understand BI roles, its roadmap and technology stack
  • Find out how to land your first job in the BI industry
  • Build taxonomy of various data sources for your organization
  • Use the AdventureWorks database and PowerBI to build a robust data model
  • Create compelling data stories using pillars of data visualization
  • Automate, templatize, standardize and monitor systems for productivity

Who This Book Is For

This book is for BI developers or business analysts who are passionate about data and its complexities, and would like to add more proficiency to advance their career in any business intelligence organization. While foundational knowledge of tools like Microsoft Excel is required, having working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP is beneficial to maximize the value gained from the book.

Table of Contents

  1. How to enter the BI world
  2. How to become proficient analyzing data
  3. How to talk data
  4. How to crack interviews
  5. Business Intelligence Landscape
  6. Becoming Data Proficient or Subject Matter Expert
  7. Business Intelligence Education
  8. Beyond Business Intelligence

Editorial Reviews

About the Author

Eduardo Chavez, a Google Professional with over 18 years of industry experience, hails from Mazatlan, Mexico. He holds multiple Data certifications from Oracle, Microsoft, Google, and AWS since 2010. With a Bachelor’s degree in Information Systems and three Master’s degrees, including IT, Business Administration, and Business Analytics, Eduardo specializes in SQL, Semantic Layers, and Data Modeling. He has worked for prominent private companies like Accenture, Oracle, and Google, as well as the University of Minnesota in the Public Sector. Eduardo is known for advocating the rapid development cycle, emphasizing Late Binding Data Warehousing, Rapid Prototyping, and a Top-Down approach.

Danny Moncada is a seasoned IT professional with 15 years of experience, excelling in project implementations related to database administration, data analysis, and data engineering. He has contributed his expertise to renowned companies like Cigna Healthcare, Indeed, IOTAS, as well as the University of Minnesota in the non-profit sector. In 2020, Danny completed his M.S. in Business Analytics from the Carlson School of Management, where he was recognized as the most helpful student by his peers. He has achieved various certifications, including Python Programming from NYU, Google Cloud Platform, and IBM Data Engineering paths from Coursera. Danny’s specialties lie in data visualization, analysis, and data warehousing.

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