Big Data Applications: Nowadays, big data has been playing a major role in a big game changer for most industries over the last few years. The main goal of Big Data applications is to help companies make more informative business decisions by analyzing large volumes of data. However, it includes web server logs, social media content, Internet clickstream data, text from customer emails, mobile phone call details and machine data captured by multiple sensors. Organizations from the various domain are investing in Big Data Projects, for identifying huge data sets to uncover hidden patterns, market trends, unknown correlations, and other useful business information.

Real-Time Big Data Applications

Here, the list of real-time big data applications such as

• Healthcare
• IoT
• Manufacturing
• Media and Entertainment
• Banking

Let's understand how big data applications are playing an essential role in various industries.

Healthcare

To evaluate, healthcare industry is booming at a faster rate and the necessity to maintain patient care and innovative medicines have increased synonymously. With the rise in such needs, latest technologies are being adopted in the industry. The level of data generated within the healthcare system is not trivial. In traditional, this industry lagged in using Big data because of limited ability to standardize and consolidate data. Nowadays, this technology has improved healthcare by providing personalized medicine and prescriptive analytics. By mapping healthcare data with geographical data sets, it is possible to predict disease which will escalate in specific areas. based on predictions, it is easier to strategize diagnostics and plan for vaccines.

IoT – Internet Of Things

Data extracted from Latest IoT Projects devices that provides a mapping of device inter-connectivity. Such mappings have been used by several companies to enhance efficiency. In fact, Internet of Things is increasingly adopted as a means of gathering sensory data, and this sensory data is utilizing in manufacturing and medical contexts.

Manufacturing

Predictive manufacturing provides near-zero downtime and transparency. However, it requires a massive amount of data and advanced prediction tools for a systematic process of data into useful information.

Benefits of using big data applications in the manufacturing industry such as

• Product Quality And Defects Tracking
• Manufacturing Process Defect Tracking
• Increasing Energy Efficiency
• Testing And Simulation Of The New Manufacturing Process
• Support For Mass-Customization Of Manufacturing

Media and Entertainment

In the media and entertainment industry, they are facing new business models. The way they create and distribute their content. This is happening because of the current consumer's search and the requirement of accessing content anywhere, any time on any device. This technology offers actionable points of information about millions of individuals. The insights are gathered via various data mining activities.

Benefits of using big data in the media and entertainment industry such as

• Predicting What The Audience Really Wants
• Scheduling Optimization
• Ad Targeting
• Increasing Acquisition And Retention
• Content Monetization And New Product Development

Banking

The volume of Big Data Skills generated and handled in the banking industry is enormous. Barring those instances wherein you receive cash from an ATM or submit physical forms at your branch, customer interactions with banks have become mostly online. As the number of electronic records grows, financial services are actively using it to store data, derive business insights and enhance scalability.

Benefits of using big data in banking

• Efficient Risk Management To Prevent Errors
• Personalized Banking Solutions To Customers
• Boost Overall Performance
• Effective Customer Feedback Analysis
• Optimize And Streamline Your Internal Processes