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Top Three Big Data Trends: Expert Predictions For 2020

Nov 29, 2019

The rapid advancements in technology have amplified data generation, opening doors for big data trends to enhance business processes and boost profitability.  The role of big data trends in enterprise decision making has been elevated to such an extent where analyzing data to extract insights has been proven to be invaluable to both large- and small-scale establishments. As we enter the next phase of big data evolution, businesses across industries are heading for a fundamental shift backed by the adoption of big data trends. In such a scenario, businesses must not only keep an eye on the emerging big data trends but must leverage them successfully to succeed in the long run.

We bring to you the top three big data trends that are set to change the business landscape in 2020 and beyond.

Top 3 Big Data Trends Set to Change the Business Landscape in 2020

#1: Edge Analytics Gains Traction

The proliferation of IoT and sensor-embedded smart devices demands advanced analytics solutions for data analysis and edge analytics is probably the befitting answer. Edge analytics refers to the processes involved in the real-time analysis of data at a sensor-level, switch, or at the edge of a network instead of waiting for it to be transported to a central data storage system. Adopting such an approach to data analysis empowers businesses to reduce latency, minimize the impact of load spikes, and improve scalability to drive outcomes. Owing to its widespread impact and ability to collect and analyze complex data sets, edge analytics will surely witness large scale adoption by more establishments globally.

With several years of expertise in the field of data and analytics, we help businesses manage their data sets at cost-effective rates by offering actionable insights into big data trends to help them take their business forward. Request a FREE proposal to learn how we can help you.

#2: Industry-wide Automation of Data Analysis

Despite the fear of automation replacing human employment and interactions, automation of data analysis can help businesses embrace change to drive positive business outcomes. Automation using AI also plays a crucial role in reducing the mundane, manual tasks that employees have to perform on a day-to-day basis, thereby helping businesses improve productivity and reduce time-to-market.

#3: Augmented Data Management Breaks New Ground

Augmented data management revolves around the use of cognitive technologies such as artificial intelligence and natural language processing to analyze and refine unstructured data sets. Leveraging augmented analytics to analyze data sets can help businesses to make better business decisions and optimize business processes to improve profitability. This not just helps maintain data quality to improve productivity but also reduces the manual tasks performed by data scientists.

Most developments that take place in today’s technologically inclined world have a solid foundation in the form of big data. Though the proliferation of technology and advancements in analytics will continue to play a crucial role in improving business outcomes, to make the most of these big data trends you must fully understand how they are used and how they can help achieve your business goals in the future.

This is only the beginning, as big data trends are poised to act as the catalyst in the changes you are going to witness in 2020. It is now up to you on how to efficiently adapt to these big data trends to embrace change and drive positive outcomes.

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