Big data to become ‘just data’ by 2016
With mobile undoubtedly shaking up information dissemination, knowledge workers expect to be able to connect to systems from anywhere at any time and get information in the context of their situation. Content, analytics, reporting, all can be delivered “mobile.” The user experience has become more fluid, when working on data using various devices – users can start a process on a desktop computer, use a tablet in interacting with a customer, and take some notes on a smartphone.
However, the bottom line is that not all of this information requires a big data approach. And the new “big data way’ is not going to replace all other forms of information management. There is more room - and need - for experimentation in the area of ‘information of innovation,’ for instance with social media data, or by making processes more information-centric. According to Gartner, big data will grow past its hype towards 2016 to become “just data” once the technologies mature, and organizations learn how to deal with it.
Information management has gone ‘cross-platform content delivery’, and this line of innovation hasn’t ended yet. For example, mobile devices offer location-based context to select the right data, and augmented reality and mashups. However, mobile content delivery is only a part of the impact on information management. Mobile devices will develop to become a prime source of data collection.
Business analytics are moving forward at an astonishing rate. Yet, analytics are not limited to business use only. Increasingly, analytics will become available for consumers too. One example of this is the use of graph analysis, which helps determining rich relationships between data elements.
Additionally, big data analytics can be leveraged by an intelligence-driven security model for pervasive monitoring, threat information sharing and intelligent controls, which can allow for more rapid detection of attacks and shortening an attacker’s dwell time within a breached enterprise. As big data is the ability to extract meaning to sort through the masses of data elements and find the hidden patterns, the unexpected correlation or the surprising connection.
The underlying message of all these examples is that information is an asset in its own right. It has value and is not something of the far future, in fact, this is happening today in various industries, in commerce and public sector, in large and small enterprises.
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