Month: October 2018

From Data to Knowledge to Intelligence | PART TWO: The DATA

Welcome back!

Before we get started I wanted to say that I’m absolutely impressed by the questions and comments that the first and second articles in this series generated. All your feedback seems to indicate that, in spite of all the hype around Big Data, understanding fundamental concepts like data lifecycle, insights, true value of data and so on is still a challenge. Few comments indicate that the complexity is to blame. Steve Jobs once said, “Simple can be harder than complex: You have to work hard to get your thinking clean to make it simple.”

Getting our “thinking clean” is one of the reasons that led me to do this series.

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From Data to Knowledge to Intelligence | PART ONE: The Journey Map

First, I want to Say Thank You for sending comments and sharing the first article of this series. Personally I found your response both humbling and invigorating at the same time. Thank You again!

Today, I’d like to take a closer look at the overall Journey. It’s not that the individual stages are not worth discussing (yet!), but I think we need to spend some time understanding the bigger picture before diving into a lot of details (and some code).

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The Data Journey: From Data to Knowledge to Intelligence

Let me start by making a statement that most of us may find common sense: The ultimate goal of any expedition into the Data Cosmos is to make better decisions.

Just like a chess player, we want to not only gain valuable insights from studying and analyzing Data, but also want to be able to simulate different scenarios and pick the most favorable outcomes. Lastly, we want to monitor the results of our decisions and make adjustments as needed.

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