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Data Demystified — DIKW model

Understanding the big picture first will set the stage for success in this journey

Anthony Figueroa
Towards Data Science
5 min readMay 24, 2019

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Data is one of the biggest new trends in both tech and business in general. Data “experts” are quickly becoming some of the best-paid individuals in the industry, and every single company wants to surf the wave of data capabilities.

It is becoming a fundamental way of understanding the world around us. We can think of data sciences as epistemology or a way of knowing. We can think of it, about a way to approach problems and solving them.

But as with any new trend, we have to ask ourselves: what do all these buzzwords actually mean?

What is a data scientist? In short, a person who is better at statistics than any software engineer and better at software engineering than any statistician.

The goal of this article is to demystify data analysis. We’ll explain what these buzzwords mean, what big data can and cannot do, and which technologies you should explore if you’re jumping on the data train

This article is the first of a four-part series on data analysis. We’ll start with some foundational knowledge, then build on that foundation, step-by-step, to explain the more sophisticated and robust systems in both computational and thinking…

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Towards Data Science
Towards Data Science

Published in Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

Anthony Figueroa
Anthony Figueroa

Written by Anthony Figueroa

CTO at Rootstrap. I lead tech strategy of a top digital product agency, applying agile methodologies and experience. Passionate about solving complex problems.

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