A look at the biggest data analytics trends for 2019

As our understanding of data analytics has developed, data analytics is being used in wave of innovative and exciting new ways. From IoT analytics and augmented analytics and DataOps we look at the top data analytics trends for 2019

If you’ve ever taken the time to shop online with a major retailer, everything from your customer journey to your buying decisions will have been quantified in some way. Your data will have added to a larger data set filled with other customers data. Data engineers will then use data analytics platforms to try and extract insights.

For many enterprises, these datasets are the key to creating a more efficient service that delivers a more targeted customer experience. The growth of data analytics has been particularly dramatic. In 2018 alone, big data adoption increased to 59% from 17% in 2015.

However, the ways that data analytics is manifesting within the workplace is undergoing a quiet revolution. New data analytics methodologies like DataOps and hybrid solutions like IoT analytics are coming to the forefront of the next wave of development. No longer is data analytics being used in isolation but in tandem with other disruptive technologies.

Data analytics has become one of the driving forces for digital transformation efforts around the world. Though with respect to modern enterprises, the changes have only just begun. There are a number of emerging trends that are important for CTOs to watch out for this year.

One of the most disruptive technologies making its way into modern workplaces is Internet of Things (IoT) devices. IoT devices are devices that can connect to networks. These devices can be connected to the edge of a network and include everything from smart lighting to health monitors. Gartner anticipates that there will be 20.4 billion IoT devices by 2020.

Everyone single one of these IoT devices will be generating data that organisations can monitor with data analytics platforms. Data analytics is integral to help data scientists realise the potential of this data. Manually reading through this data would be impossible as the abundance of data would be too great.

Digital transformations planning to incorporate IoT devices on a large scale are starting to incorporate data analytics as a supporting technology. Providers like Amazon Web Services have started to deploy their own IoT analytics solutions like AWS IoT Analytics. As the adoption of IoT devices increases we can expect more focus on these type of edge analytics solutions.

Companies that intend to collect data from IoT devices will inevitably incorporate some form of data analytics. Data analytics and IoT devices are an ideal match as analytics solutions deliver transparency over the data gathered by connected devices.

Two years ago, Gartner predicted that by 2020, augmented analytics will be the “dominant driver of new purchases of business intelligence, analytics and data science and machine learning platforms and of embedded analytics”. Forecasts of the augmented analytics market seem to agree with this outlook as well.

The global augmented analytics market is expected to grow from USD 4.8 billion in 2018 to 18.