The article on Throwing a Lifeline to Scientists Drowning in Data discusses how we need to be able to “sift through the noise” to be able this faster and faster deluge of sensors and feeds. Its not amount information management models of fast, large retail or defense data. It is about finding the signals you need to know to take advantage.
In controlled environments, like retail and business, this has been done for years on end to guide business analytics and targeted micro-actions.
For instance, gambling industries have been doing this for 15 plus years taking in all the transnational data of each pull of a slot machine from all their machines from all their hotels linked with your loyalty card you entered and time of year and when you go, your profile, your trip patterns, then laws allowing, they adjust the looseness of the slots, the coupons provided, the trip rewards all to make sure they do what they are supposed to do in capitalism – be profitable.
Even in uncontrolled environments such as intelligence, defense or internet search, the model is build analytics on analytics to improve the data quality and lifecycle so that the end analytics can improve. Its sound equalizers on top of the sound board.
Do go for the neat tech for your MIS. Go because your users are asking more of you in the data information knowledge chain.
Continue on to read more on our follow-on article: BigData is a big deal because it can help answer questions fast