Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Business Intelligence Career Master Plan
  • Table Of Contents Toc
  • Feedback & Rating feedback
Business Intelligence Career Master Plan

Business Intelligence Career Master Plan

By : Chavez, Moncada
4.8 (12)
close
close
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)
close
close

Business Intelligence Landscape

The business intelligence (BI) landscape is constantly evolving, with recent technologies and trends emerging all the time. However, some key components remain essential to any successful BI strategy.

One of the most crucial elements of the BI landscape is data. Data is the fuel that powers BI, and without it, there would be no insights to gain. Businesses need to collect and store data from various sources, including transactional, historical, and customer data.

Once data is collected, it needs to be cleaned and prepared for analysis. This involves removing errors and inconsistencies, and normalizing the data so that it can be used consistently.

Once the data is clean and has been prepared, it can be analyzed using a variety of tools and techniques. BI tools can help businesses identify trends, patterns, and outliers in their data. They can also be used to create interactive dashboards and reports that can be shared with stakeholders.

In...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY