Category: Coursera Course 1
External Dark Data
Course 1 Lessons Value-focused Definition of Dark Data: Data in any form that has or has not been attained and are needed but are not creating or providing, value or impact. Resultant from poor positioning, inability, illiteracy, obliviousness, or any impacting factor that is unintentional. Value-focused Definition of Data Products: A tool or asset that defines its […]
Internal Dark Data
Course 1 Lessons Value-focused Definition of Dark Data: Data in any form that has or has not been attained and are needed but are not creating or providing, value or impact. Resultant from poor positioning, inability, illiteracy, obliviousness, or any impacting factor that is unintentional. Value-focused Definition of Data Products: A tool or asset that defines its […]
Dark Data Foundations – Intro
Course 1 Lessons Value-focused Definition of Dark Data: Data in any form that has or has not been attained and are needed but are not creating or providing, value or impact. Resultant from poor positioning, inability, illiteracy, obliviousness, or any impacting factor that is unintentional. Value-focused Definition of Data Products: A tool or asset that defines its […]
Space Travel Exercise
Course 1 Lessons Space Travel Problem Statement: In 2050 the Earth’s resources are becoming inefficient to support human life. Experts calculate that by 2070 the earth will be uninhabitable. Background In 2048 the Mars expedition of that began in 2044 failed to generate an atmosphere that is suitable for human life pervasively. However, there is a […]
Algorithmic Thinking & Logical Reasoning
Course 1 Lessons Definition of Algorithmic Thinking: Algorithmic thinking is a problem-solving technique that involves breaking down a problem into smaller, more manageable parts, identifying patterns and relationships, and developing algorithms to solve it. It is a way of thinking that is focused on the logical steps and processes that are needed to solve a problem […]
Computational Thinking – Problem Decomposition
Course 1 Lessons Definition of Computational Thinking: Computational thinking is a process in which you creatively apply a four-step problem-solving cycle to ideas, challenges and opportunities you encounter to develop and test solutions. The emphasis is learning how to take real-life situations and abstract—often to programs—so a computer can calculate the answer.Computational Thinking is the fundamental […]
Nebulous Data: Tier 5
Course 1 Lessons Value-focused Definition of Nebulous Data: Data living on the web, in other environments, or free-floating waiting to be observed and captured. Nebulous Dark Data Nebulous data pertains to topics like the fifth dimension, the next and best inhabitable planet, the anatomy of the nearest alien life-form, or something as simple as what exactly […]
Unattainable Data: Tier 4
Course 1 Lessons Value-focused Definition of Unattainable Data: Data that cannot be captured in any shape or form due to lack of knowledge limits with modern technology or other unknown limitations. Unattainable Dark Data This data is primarily unknown, there are very few scenarios in which organizations can be made aware of this data and collecting […]
Uncaptured Data: Tier 3
Course 1 Lessons Value-focused Definition of Uncaptured Data: Uncaptured Data is data that is available for capture but is unintentionally not captured, either due to lack of awareness, lack of capability, lack of capacity, legal constraints, political constraints, or lack of organizational maturity. Uncaptured Dark Data Uncaptured data can be a good place to enhance an […]
Generative Data: Tier 2
Course 1 Lessons Value-focused Definition of Generative Data: Data that can be created produced, or derived fromcaptive data and/or organizational knowledge. This data can provide meaningful value and have organizational impact. Generative Dark Data This is typically unknown, however depending on the level of organizational awareness and engineering skill this valuable information can become known. On […]
Captive Data: Tier 1
Course 1 Lessons Value-focused Definition of Captive Data: Data in your ecosystem that is known or unknown and unintentionally ne being used. Captive Dark Data Captive data is the most straight-forward of all the types of dark data, it is typically used in most situations. Captive data is typically known, however depending on the organization and […]
Dark Data Tiers
Course 1 Lessons Value-focused Definition of Captive Data: Data in your ecosystem that is known or unknown and unintentionally ne being used. Captive Dark Data Trying to classify dark data is difficult because it is very amorphous, here I attempt to describe the concept more plainly. I simplify the tiers of dark data so as we […]
Dark Data Opportunities
Course 1 Lessons Finding Other Sources of Dark Data It may seem like dark data resides only in digital assets, but in most organizations it also resides in the documents and spreadsheets that knowledge workers generate daily for their specific usage. These artifacts containing data from a variety of sources in an organization contain organizational […]
What Impact Can Dark Data Have?
Course 1 Lessons We can reliably deliver, and get things done. That’s good, but that doesn’t indicate success. If the trajectory of our impact does not oscillate upward, consistently, failure is subtly being achieved, unknowingly. Organizational Impacts Dark data can have many impacts in an organization. Some of them are decision-making/missed opportunities, data products, profitability, […]