Analytics & Dashboards


Why to crunch the Data

Is Big Data Analytics helpful? Dealing with Big Data using conventional methodologies would pose a challenging task and result in waste of resources as well as time. To deal with this, organizations need to find the right mix of expertise and analytics techniques. Big data analytics enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. It would help the organization to gain valuable knowledge about the large volume of data that cannot be assessed with the traditional analytics.

Volume

This deals with the size aspect of Big Data. With the exponential increase in the amount of data generated due to a surge in global connectivity, it is a challenging task to store and process data with the traditional database systems.

Velocity

This refers to the speed at which data is processed to meet the sudden increase in demand. Organizations are expected to process the data and share it with the respective businesses for smooth functioning of day-to-day activities.

Variety

Big Data arrives from a diverse set of data being shared over the digital medium. With this diversity, it is important to classify the data according to its specifications. This is not possible with the conventional methods in hand.

Veracity

The quality of the data being captured can vary greatly depending on various factors. Accuracy of analysis depends on the veracity of the source data.

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