Extract from Zapproved’s article “What is Big Data in Ediscovery?”
Driving Down the Cost of Ediscovery Part 1
Taming the Data Dragon
The more data you have, the higher your ediscovery costs. Therefore, the first step to driving down the cost of ediscovery is to simply reduce the amount of data you have to manage. Data reduction requires consideration of the entire lifecycle of data, beginning with a plan for information governance and ending with defensible data disposition. But first, let’s explore exactly what big data is and more importantly what it means for ediscovery.
What is Big Data and How Does it Affect Ediscovery?
The term big data is thrown around a lot and tends to be a hot button topic as our world becomes more technology forward. According to Oracle, big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.
Put simply, big data is larger, more complex data, often coming from entirely new data sources. These data sets are also so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.