Data is raw unorganized facts, figures, symbols, or observations such as numbers, words, images or sounds that have not yet been processed to reveal meaning. Once analyzed, interpretated, and organized into context, it (data) acts as the fundamental block of that created Information.

KORIBISUBIZO UMUGANDA VILLAGE DATA CLASSIFICATION

(1) People (Users...) Citizens (...as Target, Focus...)  |  (2) Content (Actual Information, Messages, Materials etc ...)   |   (3) Context (...as Environment, Circumstances, Frameworks, Giving Meaning to People and Things...)

......Learning Challenge: Data Science 

In Thoughts, Works, Acts, Questions, Problems... answering/solved by Physical & Social Infrastructure and The Natural & Engineered Systems to Which We Belong...  

Insights are clear, deep, and often sudden understanding (s) of complex situations or problems, answering the "Why" and "So What" questions of those situations or problems. Insights connect dots, reveal underlying truths, and explain motivations. They reveal actionable understanding, new perspectives, and strategies and often emotional understanding of a customer's hidden needs or a new way to look at a problem.

KORIBISUBIZO's VILLAGE MARKETING/MOBILIZATION/ INSIGHT TYPES

(1) Anecdotal: Content created in-house. Not necessary true or researched - based on personal accounts…

(2) Authoritative: Content incorporating the work of respected third parties like industry analysts. Able to be trusted as being accurate or true; reliable.

(3) Current: Content centered on original, company-generated research and surveys. Belonging to the present time; happening or being used or done now…

(4) Visionary: Content that leverages in-house expertise but looks to the future of the industry and defines what’s next. Thinking about or planning the future with imagination or wisdom.

NOTE: But even getting to the insights stage is not enough. As a matter of fact, the most interesting, captivating, and curious insights will go to waste without a solid plan to turn them into actions.

....... Learning Challenge: Data Science 

In Thoughts, Works, Acts, Questions, Problems... answering/solved by Physical & Social Infrastructure and The Natural & Engineered Systems to Which We Belong...  

.... FROM DATA (Documents/Resources,  Information/Data) TO INSIGHTS (INFORMATION > KNOWLEDGE > WISDOM...)

..... Data: Records, Reports to Insights

For Jobs:- Design, Documentation & Digital Execution...

For Learning:- From Analytics, Through Data Science to Data & Insights...