Innovation & Technology

LSBF Blog

4 types of data analytics to improve decision making

When executed effectively, data-driven decision-making can have a tremendous impact on the long-term success of a business. Business intelligence and big data have grown to become the most popular buzzwords of the 21st century. These two aspects of a business help us make better decisions in the future, as well as analyse a business's past performance. If you want to learn about the types of data analysis that are available and the data analytics strategy that every business should be aware of, then undergoing a Diploma in data analytics is the best route to gain information about using the right mix of advanced data analytics techniques to obtain fact-based insights. Learn how data-backed decisions can help you efficiently manage your business.

Data analytics application: Effective use in different industries

Big data has become a necessity for any modern industry to survive. As AI continues to infiltrate our everyday lives, its applications are being actively leveraged by academicians, influencers, and eminent international business stakeholders. There are around 4.8 billion internet users globally, according to a report published by Cisco VNI Global IP Traffic Forecast and it is predicted that 49% of the world’s stored data will be held in the cloud by 2025! This brings with it vast opportunities for data science graduates. Undergoing professional training on data analytics applications can significantly enhance your prospects and help your company reach its objectives. This article will provide you with a deeper insight into the data analytics applications, tools, practices, and technologies that allow business organisations to make more informed business decisions.

Top 10 tools & programming language used for data analytics

Are you tired of your digital gadgets knowing things about you that you haven’t even shared with your friends and family? Have you been wondering about ways you can track the smart digital assistance that loads your mind with additional information? The internet of things (IoT) such as laptops, tablets, and smartphones are loaded with publicly operated clouds, controlled by social media giants like Facebook, Google, Apple, Microsoft, and Twitter. What’s the secret behind handling data in this tech-savvy world and is it even safe to use data limitlessly? According to the data growth statistics published by the Techjury, over 1.7 MB of data was created every second and consumed by us regularly in 2020! Did you know that with the current rate of usage in mobile networks and Wi-Fi, 200+ zettabytes of data will be stored in the cloud by 2025? These alarming stats highlight the need for data analytics tools that can be used to evaluate the data integration requirements of the future. In this blog post, we have touched upon some of the big data analytics tools that can help simplify the otherwise overpopulated data pipeline and warehouse, for smooth access to data sources.

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