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Top Real Time Big data Applications | Big Data & Analysis Tutorial: Introduction - Software Development PDF Download

Big Data can help in transforming major business processes by proper and correct analysis of available data. Such business processes include:


a) Procurement with Big data

Demand can be forecasted properly as per different conditions available with Big Data.


b) Big data in Product development

What product to be developed to increase sales


c) Big data in manufacturing sector

Big data can be used to identify machinery and process variations that may be indicators of quality problems.


d) Big data for product distribution

Based on data available, its analysis could be done to ensure proper distribution in proper market.


e) Big data in Marketing field

Big data helps in knowing better marketing strategy that could increase ale.


f) Price Management using Big data

To maintain position in market, price management plays a key role and Big data helps business in knowing market trend for it.


g) Merchandising

Big Data plays a major role in sales for retail market also.


h) Big data in Sales

It helps in increasing sale for the business. It also helps in optimizing assignment of sales resources and accounts, product mix and other operations.


i) Store Operations using Big Data

Different tools can be used to monitor store operations which reduce manual work. Big data helps in adjusting inventory levels on the basis of predicted buying patterns, study of demographics, weather, key events, and other factors.


j) Big data in Human Resources

Big Data has changed way of recruitment and other HR operations. You can also find out the characteristics and behaviors of successful and effective employees, as well as other employee insights to manage talent better.


k) Big data in Banking

Big Data has provided biggest opportunity to companies like Citi bank to see the big picture due to balancing the sensitive nature of the data for delivering value to clients along with prioritizing the privacy and protection of information. It has been fully adopted by many companies to drive business growth and enhance the services they provide to customers. Understand further how Income tax has benefited from Big data.


l) Big data in Finance sector

Financial services have widely adopted big data analytics to inform better investment decisions with consistent returns. The big data pendulum for financial services has swung from passing fad to large deployments last year.


m) Big data in Telecom

A recent report, “Global Big Data Analytics Market in Telecom Industry 2014-2018,” found that use of data analytics tools in telecom sector is expected to grow at a compound annual growth rate of 28.28 percent over the next four years. Mobile Telecom harnesses Big Data with combined actuate and hadoop solution.


n) Big data in retail sector

Retailers harness Big Data to offer consumers personalized shopping experiences. Analyzing how a customer came to make a purchase, or the path to purchase, is 1 way big data tech is making a mark in retail. 66% of retailers have made financial gains in customer relationship management through big data. Learn more about Big data retail usage here.


o) Big data in HealthCare

Big data is used for analyzing data in the electronic medical record (EMR) system with the goal of reducing costs and improving patient care. This Data includes the unstructured data from physician notes, pathology reports etc. Big Data and healthcare analytics have the power to predict, prevent & cure diseases. Learn more usage of Big data for healthcare here.


p) Big data in Media and Entertainment

Big data is changing the media and entertainment industry, giving users and viewers a much more personalized and enriched experience. Big data is used for increasing revenues, understanding real-time customer sentiment, increasing marketing effectiveness and ratings and viewership.


q) Big Data in tourism

Big data is transforming the global tourism industry. People know more about the world than ever before. People have much more detailed itineraries these days with the help of Big data.


r) Big data in Airlines

Big Data and Analytics give wings to the Aviation Industry. An airline now knows where a plane is headed, where a passenger is sitting, and what a passenger is viewing on the IFE or connectivity system.


s) Big data in Social Media

Big data is a driving factor behind every marketing decision made by social media companies and it is driving personalization to the extreme.


t) Big data in Ecosystem conservation

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FAQs on Top Real Time Big data Applications - Big Data & Analysis Tutorial: Introduction - Software Development

1. What are some examples of real-time big data applications in IT and software?
Ans. Some examples of real-time big data applications in IT and software include fraud detection in financial transactions, real-time monitoring and analysis of social media data, predictive maintenance in manufacturing, real-time personalized recommendations in e-commerce, and real-time data analytics for smart cities.
2. How does real-time big data analysis help in fraud detection?
Ans. Real-time big data analysis helps in fraud detection by analyzing large volumes of data in real-time to identify patterns and anomalies that may indicate fraudulent activities. By continuously monitoring and analyzing transaction data, it can quickly detect and flag suspicious transactions, enabling timely action to prevent financial losses.
3. Can you explain how real-time big data analytics is used for predictive maintenance in manufacturing?
Ans. Real-time big data analytics is used for predictive maintenance in manufacturing by analyzing sensor data from machines and equipment in real-time. By monitoring various parameters such as temperature, vibration, and pressure, it can detect anomalies and predict equipment failures before they occur. This enables proactive maintenance and reduces unplanned downtime, improving overall operational efficiency.
4. How does real-time big data analysis enable personalized recommendations in e-commerce?
Ans. Real-time big data analysis enables personalized recommendations in e-commerce by analyzing user behavior and preferences in real-time. By analyzing a vast amount of data, such as browsing history, purchase history, and demographic information, it can generate personalized product recommendations for each user. This enhances the user experience, increases customer engagement, and drives sales.
5. How can real-time big data analytics benefit smart cities?
Ans. Real-time big data analytics can benefit smart cities by analyzing data from various sources such as sensors, social media, and public transportation systems. It can provide valuable insights on traffic patterns, energy consumption, waste management, and public safety. This enables city administrators to make data-driven decisions, optimize resource allocation, and improve the overall quality of life for residents.
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