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Four Big Data Trends in 2015

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Big data is getting bigger. As companies try to accommodate this growth and squeeze every drop of worth from their data, new trends emerge to meet demands. 2015 will see progress in the way we handle the volumes and variety of data reaching us each day.

Here are four keys foundational in big data during 2015:

 

Social and Strategic

Big data gets social in 2015. The quiet giant has slowly broadened its networks over the past few years. However as companies such as Hadoop and NoSQL gain traction big data will become the life of the party for many businesses. Studies suggest that these non-traditional social data types can produce huge benefits for enterprises. Cambria et al (2014) explains that, 'big social data analysis grows out of [the need to condense web data] and combines disciplines such as social network analysis, multimedia management, social media analytics, trend discovery and opinion mining.'

 

Analytics Ahoy

2015 will see increased emphasis on analytics. Inhi Suh, IBM VP of Big Data says companies will begin to, ‘infuse analystics into everything that employees touch.’ This is not surprising. Analytics is the driver of big data. Without it companies are left wading through copious amounts of inefficient, unusable raw data. A wider range of analytics applications will be available in 2015, spanning predictive analytics, reporting and strategic planning. Additionally an emphasis will be placed on social and mobile data types with the impending explosion of the Internet of Things, creating more data than ever before. This has benefits to all enterprises, regardless of size. They have the potential to improve profitability, maximise customer experiences and build long-term relationships.

 

Cloudy Days for Data

Cloud and big data are an increasingly common combination. This solution is particularly beneficial to small and medium-sized enterprises, who do not have the capacity or resources for an on premise big data solution, but still want to gain the benefits of big data. Ready-made Big data as a service solutions (which combine data management analytics and infrastructure) will become an attractive solution in 2015.

 

IoT Preparation

The Internet of Things (IoT) has been hyped up over 2014. And for good reason. According to Gartner by 2020 there will be nearly 26 billion Internet enabled devices. Kaplan explains that, ‘IoT will expontentially increase the volume, variety and velocity of data, but that’s not all you need to worry about.’ There are also increased security risks, changes to data management, hardware upgrades and expanded bandwidth. North (2014) warns that, ‘(IoT) will sustain communication and data sharing for billions of connected devices and systems. The number of connections and endpoints is so large it requires IPv6 addresses because the IPv4 addressing scheme cannot accommodate the volume of…devices that will be transmitting data over the Internet.’ Kaplans explains that, ‘IoT [will be able to] warn organizations when a product or service is at risk. Early detection is essential to either remedy the issue before it becomes a real problem.’ Such proactive monitoring and alerting will reduce downtime and labour and improve productivity.

 

big-data-ibm

(in case you needed any reminding about the size of big data IBM put together this sobering big data infographic to provide a little perspective)

 

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