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Big Data and Decision-Making in the 5V Framework: Decision-making architecture enhanced by the 5V characteristics of big data - Softcover

Kapalala Kapenda, Blaise

 
9786630408478: Big Data and Decision-Making in the 5V Framework: Decision-making architecture enhanced by the 5V characteristics of big data

Synopsis

Today, Big Data is a cornerstone of digital transformation and a strategic asset for organizations. Its distinctive nature is defined by five fundamental dimensions, known as the 5Vs: Volume, Velocity, Variety, Veracity, and Value. These characteristics define the nature of big data and determine how it influences and transforms the decision-making process. Volume refers to the enormous quantity of data generated every second through social media, digital transactions, sensors, connected devices, and web platforms. This volume requires organizations to have infrastructure capable of storing and processing this data efficiently. Velocity, meanwhile, refers to the speed at which data is produced, collected, and analyzed. In a world where decisions must be made quickly, the ability to leverage real-time data streams becomes a decisive competitive advantage. Variety highlights the diversity of data forms: structured (databases), semi-structured (logs, communications), and unstructured.

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