Database Application

Food database in food industry {0}

By Titan T.

Database management systems are becoming important for commercial and domestic users because these help in managing data efficiently, storing large size of information and carrying out multiple tasks at a time. Use of databases in food industry is the focus of this paper and it will help in finding out trends in food databases, applications of food databases, how these are making food business more competitive and successful.

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Data Mining in Pharmaceutical Research & Development {0}

By Ryan T.

The pharmaceutical industry has always relied heavily on data. That data consists of historical clinical trial results, cellular, genetic, microbial, molecular, proteomic, and metabolic data. With most, if not all, of this data being stored electronically and so much to sift through data mining has been highly advantageous in pharmaceutical research and development (Elvridge, 2016). Several proprietary and nonproprietary tools are available to researchers each with their own distinct differences. The pharmaceutical companies utilizing big data ranges from large companies to small firms since data mining effectively reduces the barrier of entry. This goes without saying, but big data mining does comes with risks and limitations when it comes to the pharmaceutical industry. Overall, the benefits far outweigh the risks though as developers and researchers continue improving their products.

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Data mining in Tourism {0}

By Billy S.

Nowadays, travel and tourism have grown into a large industry throughout the world. As technology has played a major role in our day to day life, it tends to affects the behavior of travelers since it was easy enough to find information on the spot. Lately, travelers have changed how they travel where they prefer to roam freely and use technology as a guide rather than strict their schedule to a plan (1). As a result, tourism industry requires quick and up to date information from many locations around the world. Therefore, data mining has become a necessity to obtain accurate data and information; from popular travel destination, places of interests and popular cultural attractions. However, globalization has changed the behavior of traveler where it made an impact on their cultural criteria, social criteria, personal criteria, and psychological criteria(1).

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Machine Learning for Human Resources and Recruitment {0}

By Kevin C M.

In our world, there is a big demand for workers who are highly qualified and skilled in their profession. These workers also have high expectations for their employers to provide the best salaries, benefits, etc. The business world is never stopping and always progressing at a rapid pace, but HR and talent recruitment individuals have a hard time keeping up.

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Database Security {0}

By Joel R.

The world has rapidly shifted from using physical documents to storing all important organizational information into digital databases. This shift has caused a new crime to develop dubbed, cyber-crime. Being recently developed, cyber-crime is now recognized as the most imminent threat to our national security. The steps implemented in combatting cyber-crime involves the use of establishing databases with known attack signatures such as, IP addresses, behaviors, and malicious code among others. The way these databases are created is through the use of big data analytics.

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Data Mining Within The Retail Business World {0}

By Andrew R.

Across various business, data mining forms a crucial part of the decision-making process when it comes to steering a firm in a direction that is according to the information they have about their products & services as well as their customers. In the retail world, this involves collecting information on products, their customers, & the relationships between those two entities so that they may better be able to adapt the business to ongoing trends. Companies that can craft accurate models for themselves give themselves a competitive advantage when it comes to oversight over their business.

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How YouTube and Netflix Stores, Manages and Analyze their Data {0}

By Soledad O.

There is an estimated 300 hours of video content being uploaded on YouTube from various sources every minute, and an estimated 5 billion videos are watched every day. On Netflix, an average of 33.3 million subscribers stream an average of 2 hours of movies and/or TV shows a day. From a data analyst point of view, the data being exchanged seems to be limitless. So where do these top media sites store and retrieve their content? How do they know what to recommend to a specific user? How do they know what you are watching? The answer lies in the complex and diverse management of the company’s database.

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Databases in Manufacturing {0}

By Angelo N.

Databases are the backbone of many manufacturing software information systems. It is in these databases that information for each raw material, product, and components can be archived and retrieved for further evaluation, tracking, and quality control in the manufacturing process. Usually there are many databases in the manufacturing process in which they would become integrated with one another. Primarily they can broken down into three major components in the manufacturing databases. These are Supply Chain Databases, Production Item Databases, and Inventories Databases Each and every one of these databases work together in order to have a fully integrated information system.

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Data Mining in the Insurance Industry {0}

By Angel M.

As the world moves towards an era of “Internet of Things” companies are trying to find different ways to produce accurate and effective information in the insurance industry. In the years, past client’s information was poorly documented on paper and was kept in folders and filing cabinets. Today, we can see a major transition of the same information being documented online and stored in databases or data warehouse for easier access. Tech companies have produced software such as, data mining tools that allow insurance companies to sort through their information within seconds. The process will allow insurance companies to cut down on insurance fraud and increase operational efficiency.

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Integration of Data Mining in Human Resource {0}

By Anish M.

Data mining is the practice of examining large data sets in order to generate new information. In human resources, data mining is an essential tool in order to compete with the rapidly growing competition such as artificial intelligence and the technological advancement of automated programs. Human resources role in an organization is in the form of skills and knowledge of people, which makes it difficult to measure sometimes. “Human resource improves with age and experience, which no other resource can do naturally” (Dictionary, 2016). The purpose of this article is how data mining is integrated into Human Resources. It is done by the growing interest in using worker-based behavioral statistics to make predictions and to acquire information at a fast rate which helps with the decision making process in the human resource management.

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