2.0 INYANDIKO
CONVENTIONAL IMPLEMENTATION : Digital Records of 1.0 People | Evaluated 5.0 Results (evaluated reports...)
CONVENTIONAL IMPLEMENTATION : Digital Records of 1.0 People | Evaluated 5.0 Results (evaluated reports...)
Factual Information: Factual information such as measurements, knowledge bases, planning documents, project reports..., or statistics - to be used largely as a basis for reasoning, discussion, or calculation. Great Significance for Organizational Leadership & Management of Resources. Koribisubizo's Major Operational Focus.
Output By Sencing Device or Organ: Information Output by a Sencing Device or Organ That Includes Both Useful and Irrelevant or Redundant Information and Must Be Processed to Be Meaningful. Of Importance to Koribisubizo For Digitization (by Technology From Analog to Digital Formats) & Digitilisation (Use of Digital Assets...) and Studies. May Include Factual Information.
Data to be Processed or Transmitted: Information must be in Digital Form to Be Transmitted or Processed. Critical for Practice, Technology, Industry... - Overarching Aim of Data Science.
KORIBISUBIZO UMUGANDA VILLAGE DATA IMPLEMENTATION
Society-All (Leaders...) Citizens: Participate Freely in All Activities or Interactions or Transactions or Sharing... Within and Without Umuganda.
Working Professionals & Aspirants ...17+ Yrs: Bring Own Information, Own Device... and Own Work Experiences to Apply, Present, Test, Learn, Demonstrate, evaluate... to Umuganda (monthly) to result into evaluated reports 5.0 RESULTS for each Umuganda Production Cycle.
In-Governance Roles: Contribute Digital Records of All, All People in Society - 1.0 PEOPLE for each monthly Umuganda Cycle.
Almost all domains/ fields/ Areas/ Sector... have their own ways of defining Data, and they all fit into a subject we call Data Science. Data is, and is in text, figures, pictures, videos, sounds, signs, symbols, stories, books, messages, smells, feelings... ad-infinitum.
Data Science uses Machine Learning, Natural Language Processing, Data Visualization... involves Data Collection, Cleansing, Feature Engineering, Model Building...
Skills Needed include Statistics, Programming, Machine Learning..., Data Analytics for Big Data...
Data science can be described as an interdisciplinary field that combines scientific methods, statistical techniques, programming skills, and domain expertise to extract knowledge and insights from data. It encompasses various processes, including data collection, cleaning, analysis, interpretation, and visualization. The primary goal of data science is to uncover valuable information that can drive informed decision-making, predictive modeling, and process optimization.
Data science helps optimize transportation routes, reduce traffic congestion, and improve logistics operations. It enables real-time tracking, predictive maintenance, and demand forecasting for efficient supply chain management.
Be it internet search for focused education, fraud and risk detection for business protection, price comparison websites and digital advertizements for us all, applications of data science or simply modern/digial applications are what fuels the digital economy and revolution.
The mastering of data science (through correct and quality education...) by nations, promises not only to create jobs of immense value but also of joy. So, seek to multiply such jobs to faster socio-economic development growth and complete eradication of social ills including crime.
If you want to scale the knowledge you have about people, their jobs, their way of life, their level of development, - specifically what they feel, think, do, and commit to, and replicate such knowledge across organizations, big and small and in far more complex and unpredictable situations, you need to have data in widely accessible and retrievable records of interactions with citizen consumers, citizen employees, and citizen leaders (active heads...). This is where technology can have the biggest impact - in the process of capturing or creating digital records of people (e.g., what they do, who they are, what they prefer, etc.). We call this “digitization,” or the process of datafying human behavior, translating it into standardized signals (0s and 1s).
To track people and performance (Legacy jobs/projects...) - you need to back-trace Action Plans down/up to Vision... the seven elements of strategic planning.
Vision > Mission > Core Values > SWOT Analysis > Goals & Objectives > Strategies > Action Plans
Action Plans are documents that list what steps must be taken to achieve Specific goals. Action Plans break the goal(s) down into actionable steps (legacy tasks...) that can be easily followed and tracked. From Vision up, up... to Action Plans. Legacy (People... ) planning ends. Digital (Data...) planning begins.
To track people and performance (High Tech jobs/projects...) - you need to back-trace Action Plans to Vision as in Legacy above, then break them... further (Decompose/analize...) into ever smaller/tiner digital tasks..., then back-trace Maintenance to Planning... the seven software development lifecycle (SDLC) for Application Develoment.
> Task... Planning > Requirements > Design > Development > Testing > Deployment > Maintenance.
Digital (Data...) planning begins and ends in metadata creation, digitilization, digitization, coding... for computers to take the tasks over (processing...) into deployments, use and maintenance...
Participate in Legacy Planning
Review Existence of Digital Resources