Five V’s of Big Data

Is big data helpful in all cases? How can it benefit your company in any way? The five V's are the characteristics that data scientists use to evaluate the value of big data.

Volume: Since "big" is a relative term, the volume of data generated defines whether it is big data or not. This statistic might assist businesses in determining whether they require a big data solution to process their confidential data.

Velocity: The usefulness of data depends on how quickly it is generated and transferred across systems.

Variety: Data is now gathered from a wide variety of sources, including websites, apps, social media platforms, audio and video content providers, smart devices, sensor-based equipment, and more. Enterprise business intelligence includes these various bits of data.

Veracity: Information obtained from many sources may be inadequate, incorrect, or inconsistent. Enterprise business intelligence and analytics cannot offer value unless the data is complete, accurate, and consistent.

Value: How beneficial big data is for the organization depends on the value it adds to business decisions.

Big data must be handled differently than traditional approaches due to the sheer volume and variety of the data. Before being consumed by business intelligence and analytics systems, large, complicated data sets must be cleaned, processed, and transformed. To generate real-time data insights from big data, intelligent storage systems and incredibly rapid processing speeds are required.