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Top 5 trends for 2016 as big data gets even bigger

Daniel Ng, Senior Director, APAC, Cloudera | Jan. 15, 2016
As the world gets even more dependent on data this year, Daniel Ng, Senior Director, APAC at Cloudera, dives deeper into the top 5 trends for big data in 2016.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

We saw major transformations in information technology (IT) last year, as many organisations looked towards being more effective in managing and leveraging their data for decision making. The focus on smart city type of initiatives that drive trends like enhanced connectivity, improved mobility, and generally the proliferation of and access to data, in Asia Pacific, further pushed up the significance of data for businesses, both big and small.

In 2016, we will see an even wider shift in this regard as data will be further embedded into decision-making processes across businesses and industries. Business decision makers will want to, if they have not already, tap on data-driven initiatives to gain a competitive advantage and play a part in the connected universe.

In fact, this is becoming inevitable for businesses as the data-culture is already permeating into our daily lives. Think smartphone apps that analyse traffic data and advise users on the best route to take for getting around a city, wearable fitness trackers that help users monitor and live a more active lifestyle, etc.

As big data gets bigger and the world gets even further dependent on it, the following is a list of trends that stand out for 2016:

Where business and technology collide

More than ever, organisations will look to technology and data to solve real business problems. In the past few years, we have seen popular use cases, such as organisations developing a 360 view of customers to build revenue streams, driving efficiency in product and service delivery, as well as managing risk, compliance and cybersecurity.

This year, companies will look beyond the technology and see the business value of these use cases - they will realise, even more, the true meaning of turning data into dollars. Now, organisations will derive greater value by aligning data and technology to business objectives.

The modernisation of traditional enterprises

More traditional enterprises will start functioning like modern enterprises, becoming more open to being data-centric and information-driven. These traditional enterprises will overcome the challenge of different silo systems that they traditionally have with the help of easily available, modern data management analytics platforms. They will continue to become less application- and process-centric, resulting in a higher competitive advantage for their products or services, regardless of what size or growth stage their business may be at.

 

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