The article on Throwing a Lifeline to Scientists Drowning in Data discusses how we need to be able to “sift through the noise” of large data sets. Also, increase data processing to accommodate the deluge of faster and faster data feeds. This data comes from a variety of sensors and devices. The issue, in reality, is not the amount of information models that hold retail or defense data. It is about finding the proverbial “signals” the data provides that you need to know to take advantage of bigdata’s capabilities.

In controlled environments, like retail and business, this has been done for years. They do this to guide business analytics and targeted micro-actions. For instance, gambling industries did this for 15 years. They have been taking in all the transnational data from each pull of a slot machine. All their machines record this from all their hotels linked with your loyalty card. They also consider the time of year, when you go, your profile, your trip patterns, and the current state laws. Then, they adjust the looseness of the slots, the coupons provided, and the trip rewards. They do this to ensure they do what they must in capitalism: be profitable

Even in uncontrolled environments such as intelligence, defense or internet searches, the model is meant to build analytics on analytics. This will improve the data quality and the data’s life cycle so that the analytics at the end  can improve.

Continue on to read more on our follow-on article: BigData is a big deal because it can help answer questions fast