How Big Data and Business Intelligence tie in

Nov 12
11:43

2015

Innes Donaldson

Innes Donaldson

  • Share this article on Facebook
  • Share this article on Twitter
  • Share this article on Linkedin

How Big Data and Business Intelligence tie in.

mediaimage

You can’t separate successful mobile application development from either data or analytics. Consumers demand immediate insight into their “mobile moments” — exact points in time where context and real-time data fuels decision-making,How Big Data and Business Intelligence tie in Articles prompts a buyer to purchase, and allows companies to present brand consistency across devices. Meanwhile, enterprises need immediate data from a wide array of sources in order to fuel processes by means of the combination of big data and analytics. 

Here, in this area of big data are a few of the points you need to keep in mind: 

  • First, the size of big data alone is overwhelming. While we speak of petabytes and zettabytes, we are approaching the era of the yottabyte (10 raised to the power of 24 bytes).
  • Second, this data avalanche consists overwhelmingly of unstructured data that cannot be stored in a traditional database. Examples include videos, Word documents, PowerPoint presentations, and telecommunications. Unstructured data has surpassed in only the past few years all data ever created before it.
  • Third, the so-called Internet of Things (“IoT”) contributes more big data than another source. With sensors around the world embedded in our wristbands, cars, street corners, and geolocation systems, the IoT is growing exponentially. This has benefits. 

As an example of the premise set forth in the title of this piece, we will examine big data and mobile app development. The challenges that it faces; its myriad, globally dispersed actors; and the need for data worldwide and immediately make it a strong use case. 

Intelligent predictions of the future can occur within predictive analytics platforms — a highly competitive market that includes Oracle, IBM, Tibco, and Esri, as well as a host of companies that specialize in geospatial analysis and data visualization. Business analysts apply algorithms to the company’s data sets in order to yield granular, real-time predictions. This is a recursive process. This is a process which will also go on and on over time as the tech behind all of this is able to develop so much more in this area.