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2017 proved to be a year that Big Data analysis trends will be at the forefront of collective global interest. With businesses in every industry utilizing data and analysis across departments for the advancement and alignment of business strategies and priorities, the current year will only indicate increased interest and implementation of various data and analysis technologies and tools.


Here are the five big data analysis trends happening now this year:


Machine Learning

Computers not only recognize patterns in existing data, but they learn to adapt as they are exposed to new data sets. Within the context of data analytics, machine learning is enabling organizations to obtain insights about future outcomes, trends, risks, and opportunities that will impact their business.



The Internet of Things is the connection between devices, hardware, people, digital machines, and the data generated and networked across this connection. Cell phones, city lamps, wearable devices, smart cars, and gaming consoles, all connect to the internet and produce massive quantities of data.

It is predicted that by 2020, over 26 million devices will be connected to the internet. Organizations must change and upgrade their platform technologies, internal infrastructures, cloud architectures, and security measures to reflect this massive surge in IoT data.


Predictive Analytics

To stay pertinent and competitive within their market, businesses are adopting predictive analytics tools and techniques into their strategies at an increasing rate. It’s no longer enough to be able to analyze historical data; companies have to be able to address future outcomes, risks, and opportunities to stabilize their position. Predictive analytics is applied to analyze data and make informed, fact-based predictions.


Cloud Convergence

To improve organizational efficiency and share, and access data more easily and quickly throughout an entire business, companies are looking to cloud convergence solutions. The large quantity of data utilization within organizations requires a scalable, capable, and cost-effective way to manage, network, compute and store data effectively.

Organizations are relying on cloud infrastructures to propagate business continuity, merging multiple technology components into a single cloud system for Big Data processing.


Customer Experience

Modern Big Data and analysis tools and technologies allow companies to understand their customers, and provide greater customer experiences as they connect with a business over time.

Insights derived from data and analysis can indicate areas that require improvement, provide information about a customer’s emotional connection to the business, where and how they interacted with a product, and allow businesses to serve the needs of their customers in a more pertinent way.




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