Data Analytics in the Travel Industry

We live in an era where internet-enabled services are lucrative businesses. Be it hotels, flights, trains or even buses and cabs – there are a number of companies that have sprung up over the last decade in the business of online booking. The extent of digitization is creating a large amount of transactional data which can be used to serve customers better and improve earnings.

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Business Analytics in Oil & Gas Industry

It is not a huge stretch to say that almost any industrial activity or even a private activity in the entire world is impossible without oil and gas. These resources are not only used in heat and power space but also in everyday items like plastics, apparel and transportation. Oil & Gas is acting as a lubricant to smoothen the operation in several industries.

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Big Data with smartphones

Mobile technology is having a huge impact on our lives and our society – along with changing the way we think about data and use the massive amounts of information generated by that technology. Experts have been taking note of the mobile phenomena and the impact on our culture.

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Big Data with Car Manufactures

Big data is everywhere and used in nearly every type of business. While many people might not be aware of its prevalence, it’s clear from the way companies are engaging in big data analytics that it is playing a big role in achieving new levels of success.

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Data Analytics in Aviation Industry

The aviation industry is a sector involving high cost and security concerns. Analytics in this sector has huge potential, as varied data can be collected at each touch point showcasing customer interests. Crucial factors such as weather forecast should be critically analyzed using sophisticated tools to ensure passenger safety.

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Big Data in Fire Service

Big Data-it's a term that's everywhere. It's in newspaper headlines and in business journals. It's in boardrooms and classrooms. It's on cable news, network news and even in sports news. Five years ago, "Big Data" didn't even exist, but today it seems to be in the middle of everything-the center of a phenomenon that's sweeping across our social and economic landscape.

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Data science in Insurance

Insurance is all about risk, but risk is a complicated concept. The insurance industry has always run on statistics to make sense of those risks. Actuaries (possibly the original data scientists), who calculate the likelihood of certain catastrophic events that might require policy payouts, have been a mainstay at insurance companies since the 17th century.

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Using SQL Database for a College Library

This post is about how database can manage the resources of library in college. This system could provide basic set of features all about issuing of books, membership and storage of books in library. Mostly, many colleges haven`t got proper system to keep record of books and library board's details. Often, there is no proper system to check which books are overdue and fines are payable but using database queries we can easily find the list of members who are due for fine.

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Using Data Mining in telecommunications to prevent customer churn

The telecommunications industry generates and stores a tremendous amount of data. These data include call detail data, network data and customer data. The amount of data is so great that manual analysis of the data is difficult, if not impossible. The need to handle such large volumes of data led to the development of knowledge-based expert systems.

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Data Science Aid in Disaster Relief

Data science makes all of our lives easier. It coordinates the fleet of Uber cars we take to work but it could also save your life. 337 natural disasters occurred in 2013, resulting in 22,542 deaths and more than $119 billion worth of damage, according to the Centre for Research on the Epidemiology of Disasters. Using data science, we can make those numbers much smaller.

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Medical care with data science

Thanks to advances in technology, we can now collect the greater part, including information about heart rate, sleep patterns, blood glucose levels, stress levels, and even brain activity. Data Science proves invaluable for improving the living outcomes for its ability to automate much of the work - in a fast, flexible and precise manner. In this case of the emergency services, big data gathered from medical records of patients - diagnosis, treatment plans, dose of the drug and many more pieces of information that individually may not seem significant, but..

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Using data science to confront policing challenges

It has the potential to equip police departments and citizens around the world with the intelligence they need to predict crime both in real time and in the future. With advanced analytics capabilities that we use such as Microsoft Power BI, Stream Analytics, and Machine Learning, police departments now have the capability to predict when and where crimes will happen in the future. By building a crime analytics and predictions Power BI dashboard, law enforcement agencies can take advantage of predictive policing approaches to bring about safer cities.

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Implementing data science in bank technology

Every banking transaction is a nugget of data, so the industry sits on vast stores of information. For banks – in an era when banking is becoming commoditised – the mining of big data provides a massive opportunity to stand out from the competition. By using data science, our company can collect and analyse big data and in that way banks can improve, or reinvent, nearly every aspect of banking.

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Data Science helping with provision of better services for our community

Big data could transform businesses and economies, but the real game changer is data science. With powerful new techniques that we know, including complex machine-learning algorithms, R programming, PowerBI, data science enables us to process your data better, faster and cheaper than ever before.

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