If you’re doing business in this era, then you’re dealing with a lot of data. That data is everywhere as well, especially if parts of your business are global. Depending on where you’re doing business, the data your business is generating has to adhere to different data rules, especially where disaster recovery and business continuity are concerned.
There are two ways to look at big data: it either means you have a lot of data, or it means that you’re doing a lot of data processing. Often times, you’re doing both.
Often data is considered secondary (and thus not important), generated out of their primary application, and the company is using it to better understand how an application is working. Generally in cases such as this, the emphasis to protect data is not top priority. All businesses in this situation want are service credits towards when the infrastructure supporting data is down.
Meanwhile, others are using data processing as part of their mission-critical, revenue generating work, so the data becomes a goal in its own right. Some businesses that approach data this way are advertising, natural language processing, finance, and healthcare, among other primary forms of data analytics as well as data gathering focused businesses.