We expect more people to transition to the cloud in the coming year thanks, in part, to tools that help them consume web data. Early adopters are already learning from this data, and others are realising they should. And more companies will use cloud analytics to analyse more data faster. They will come to rely on it just like any other critical enterprise system.
"Schooled" in data analytics
One of the main focus of Singapore's Smart Nation initiative is to provide more open data to the public. With this, an increasing number of organizations will establish a Center of Excellence to foster adoption of self-service analytics. These centers play a critical role in implementing a data-driven culture. Through enablement programmes like online forums and one-on-one training, the centres empower even non-experts to incorporate data into their decision-making.
Singapore's IDA Hive, opened by the Minister for Communications and Information, is a good public sector example of this. This government facility is focused on ensuring that the digital experiences delivered to citizens are useful, relevant and easy to use. Aimed at leveraging on data analytics to gain better insights into the needs of users to improve their digital government transaction experiences, the unit also doubles up as a consultancy, assisting agencies on the development of new services or enhancement of existing ones.
The independence of mobile analytics
Mobile analytics has grown up and moved out. It is no longer just an interface to legacy business intelligence products. In 2015, products with a fluid, mobile-first experience began to emerge. Working with data out on the road will be less of a chore and a more dynamic part of the analytics process.
Digging deeper into IoT data
The Internet of Things (IoT) is poised to become even more prevalent in 2016. It seems that everything will have sensors that send information back to the mothership, be it fitness tracking wearables, home security systems or industrial machines.
Just think of all the data that mobile devices are already generating around the clock. As the volume of IoT data grows, so does the potential for insights. Companies will look for tools that allow users to explore the data, then share their findings in a secure, governed, and interactive way.
The rise of new technologies
New technologies designed for the BI ecosystem are constantly emerging. As these go to market, we will see gaps that need to be filled. Hadoop accelerators, NoSQL data integration, IoT data integration, improved social media, each of these present an opportunity for businesses.
In 2016, we will see the rise of the gap fillers, leading to a market consolidation. Organisations will continue to shift away from single solutions and embrace an open and flexible stack that includes these new technologies.
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