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2017: What Do Big Data, Cloud, Self-Service And Machine Learning Have In Common?

6 January, 2017

2017: What Do Big Data, Cloud, Self-Service And Machine Learning Have In Common?

2017 is set to be a very exciting year for the technology industry and data analytics is going to see huge growth.

Big data has finally come of age and interest in the analytics industry has never been keener. The sums invested in big data analytics continue to increase every year. According to a recent IDC report, the big data and business analytics industry saw revenues of $130 billion in 2016 and is forecast to continue to grow, with estimates that it will reach $203 billion by 2020.   2017 will largely be a consolidation year for the core proposition of big data analytics, but it is a young industry and the effects of better data analytics are now beginning to spill into other related fields.

This is where the big changes will occur in 2017. As analytics continues to improve, the changes it initiates will impact wider areas such as cloud-based Analytics-as-a-Service, Business Intelligence, the Internet of Things and Machine Learning.

Deployment of cloud-based analytics will rapidly accelerate in 2017

In recent years, cloud adoption has moved from a niche proposition and into the mainstream. It is now becoming the norm for many businesses and the benefits are clearly understood. Looking ahead to 2017, the cloud will continue to be adopted by businesses of all shapes and sizes, irrespective of the market segments that they are active in – that is a given. However, what will change in 2017 is that cloud adoption will move beyond its staple of replacing infrastructure and software solutions; cloud adoption will move into data analytics as cloud-based analytics solutions mature, gain features and become attractive to businesses.

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