2017 Big Data Trends
Everybody talks about how data is growing in databases of businesses and nearly everyone agrees that big data has taken the business world by storm.
As can be seen below according to Excelacom in just 60 seconds millions of data have been created and consumed by new era consumers.
What happens in an Internet minute?
OK, big data is growing day by day as well as interest over it (take a look below to google trends)
But what’s next? Obviously, interest in Big Data will continue to grow but what technologies will develop around it? What will be next big thing in the Big Data ecosystem? Lets take a look at the list of Big Data trends prepared by the Exastax Marketing Team.
Data volume will continue to grow
It is obvious that with the ever rising rates of smartphone usage and engagement, mobile consumers will both generate and consume more data. An area of particular interest is the stable yet growing mobile usage within social media platforms where user generated content is increasing day-by-day.
SPARK is coming
While SQL is still the standard, it can be said that there can is a shift in data analyzing techniques towards Spark. In other words; marketers, IT managers and business intelligence professionals should consider Spark as an emerging complementary tool for data analysis.
As predicted by Gartner, machine learning will continue to be a strategic technology trend for marketers. Companies who will embrace predictive analysis in their businesses will see significant improvements to their bottom line in the future.
Growing usage of data mining techniques, machine learning and predictive analytics enable marketers to construct personalized experiences to their customers. On the other hand, this approach leads to a rise in privacy concerns, especially so following the new privacy regulation by the European Union. Companies who are capturing consumer data should be transparent about their privacy controls and their data usage terms.
Creating omni-channel experiences
Tailor made personalized experiences for each customer according to their omni-channel data will be a core differentiating point for brands in the coming years. While creating omni-channel experiences, integrating digital analytics data with customer data will be a vital point for companies.
‘Chief Data Officer’ as a new role
According to Forrester, Chief Data Officers will emerge as a new CxO role within companies. The role profile might not be crystal clear at the moment, but, without any doubt, responsibilities for omni-channel data, machine learning and predictive analytics will be handled by the CDO.
To sum up, 2017 will see even more emphasis and investment into machine learning and predictive analytics. Privacy will remain one of the main concerns and risk factors. Companies who utilise omni-channel data in their campaigns will be able to deliver better create value to their customers and will differentiate themselves from the competition.
Here at Exastax we are happy to help your business in the areas of data collection, management and analysis. Exastax builds high performance, scalable products to improve your business agility. If you want to learn more about our products and solutions email us at email@example.com.