We have seen a variety of users incorporating visual analytics tools in their daily lives, from business users, to students and homemakers. For example, Ngee Ann Polytechnic, one of Singapore's leading institutions of higher learning, has embedded data analytics into its curriculum for both teachers and students. In fact, lecturers have also started using visual analytics tools in their classrooms, encouraging students to be more comfortable and familiar with working with data.
More and more, visual analytics will serve as the common language, empowering people to reach insights quickly, collaborate meaningfully, and build a data-smart community.
The data product chain is a democracy
Self-service analytics tools have changed people's expectations for good. In 2016, people will seek empowerment across the data continuum. Driving a large part of this change will be the millennials who are at the age of entering into the workforce - PwC predicts millennials to make-up 50 percent of the global workforce by 2020.
Millennial workers will expect to have easy access to data no matter in the office or when they are on the road. They will want to explore the data themselves to make their own discoveries on the fly. That is why the demand for self-service data preparation tools and even self-service data warehouses will grow as a natural extension of self-service analytics. This democratization will allow people to respond quickly to shifting priorities.
Data integration gets exciting
These days many companies want agile analytics. They want to get the right data to the right people, and quickly. This is no small challenge, because that data normally lives in many different places.
Working across data sources can be tedious, impossible, or both. In 2016, we will see a lot of new players in the data integration space. Companies will stop trying to gather every byte of data to have them stored in the same place as more sophisticated tools for data integration emerge. Data explorers will connect to each data set where it lives and combine, blend, or join with more agile tools and methods.
Advanced analytics is not just for the analysts
Non-analysts across the organisation are becoming more sophisticated. They have come to expect more than a chart on top of their data. In a recent study, Gartner noted that business and IT leaders are boosting investment in advanced analytics that address business problems and provide business benefits far beyond conventional BI.
Business users now want a deeper, more meaningful analytics experience. Organisations will adopt platforms that let users apply statistics, ask a series of questions, and stay in the flow of their analysis.
Data and analytics will fly to the clouds
In 2015, people who work with data began embracing the cloud. They realised that putting data in the cloud is easy and highly scalable. They also saw that cloud analytics allows them to be agile.
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