www.myvirtualdataroom.net/fundraising-digitalization-with-online-data-room-software/

Big Data Techniques is a collection of techniques that are employed to analyze vast and diverse data sets. They use advanced analytic technology and the data can be anywhere from terabytes up to Zettabytes in size. It can include structured, semistructured and unstructured data. It is derived from many sources and is generated by a myriad of applications.

Customers generate a lot data every day when they send emails, use apps, engage on social media and react to services or products. They also create data when they visit a store, talk to a customer service representative or make an online purchase. Businesses collect all of this data in the course of their operations and use it to improve customer loyalty and expand into new geographic areas, or create new products.

Data is typically presented in different formats than it was in the past. It’s no longer presented in spreadsheets or databases but is now available via wearable devices, social media and various other technological platforms. It is usually unstructured texts, images and videos and does not have a strict structure. This type of data has contributed to putting the “big” in big data.

Velocity is the second characteristic of big data and it is the speed at which data is generated and moved around. All of these actions, such as sending a text message or responding to a Facebook, Instagram or credit card purchase or making a purchase, create data that needs to be processed quickly. Big data is difficult to manage due the speed.