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Big Data can be thought of as having 5 distinct dimensions.
Refers to the Huge Volumes of Data.
An abundance, an explosion of Data.
The number of people getting infected through the peaks of the pandemic.
The number of people getting tested versus testing positive.
The speed at which new data is created,
and the need for the new data to be considered and analyzed.
The speed at which the data is generated and processed to meet the expectations.
The speed at which the pandemic was spreading to new geographies.
The pace at which the new variants and their infections were spreading.
The nature of data, their Heterogeneous sources of structured, semi-structured and unstructured data.
Diversity of Data Distribution.
Can lead to different Interpretations.
May call for Specialization and Standardization.
The correlation of various Age Factors and Pre-existing health conditions affecting the spread.
Inconsistencies and Uncertainties in Data.
Depends on factors of data, like - sampling methods, mode of capture, place, time, intervals, parameters, accuracy, completeness, etc.
Can lead to variations in meaning, interpretation, processes, and challenges involved.
Completeness, Correctness of data relating to symptoms and pre-existing conditions. And their interpretations.
Experience of personnel recording the data.
Types of equipment and tools used to record and capture.
How the data is put to work?
Can lead to informed decisions and measurable improvements based on the data being collected, analyzed, researched, and interpreted at a global-scale.
Leading to informed decisions like -
Lifelong Learner. Audible Fan. Deep Generalist.
Data is a critical tool for today's fast-paced world. Covid pandemic has proved that recently. The fight against covid has highlighted how we can use an intensely data-driven approach for the future of our existence.
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