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.


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.


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.


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.


Data Mining for Logistics and Transportation {0}

By Danielle N.

Big Data has made an immense impact on logistics and transportation sector by changing how businesses operate and has become highly critical and beneficial for companies to utilize. From personally customers’ experiences on the web to managing supply chains more efficiently, Big Data has changed the way businesses keep up as technology advances. Data mining is a concept used to analyze data from different sources and is utilize to summarize meaningful information. This information is an important factor that can be used to increase revenue, cuts costs, or both. It is a useful analytical tool for analyzing data and businesses are able to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified (Wu 2012).


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.


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.


How Government Services Are Using Data Technologies {0}

Nelly L.

We think of citizens as legally recognized subjects of a particular state or community. As citizens, they are bound to certain regulations and rules that are maintained and controlled by governmental agencies, who oversee every aspect of their lives for the well-being of the inhabitants as a whole. These government agencies control the economy, social freedoms, and political systems of the citizens. Unsurprisingly, they also take advantage of the most sophisticated business techniques today in order to do so. If that is so, how is business related to the government? And how does the government use data obtained from these business technologies to oversee citizen community engagement?


Data Mining in Health {0}

By Amanda L.

Data mining has proven itself to be a highly useful analytic process and instrumental in effective decision making in various industries. By analyzing large sets of data to discover patterns and correlations, an e-commerce organization can understand consumer shopping habits and predict future behavior, or manufacturer can assess quality control and schedule maintenance accordingly. Nevertheless, data mining in health provides nearly as many benefits, with its use becoming increasingly more extensive and popular.


Data Mining in the Finance Industry {0}

By Brian Lam

In an industry that relies substantially on information, financial services institutions have long adopted the practice of gathering and analyzing data to improve business activities and decisions. In following more recent trends towards the automation of this process, financial businesses have begun turn their attention towards data mining and its benefits. Businesses such as banks, credit-card companies, insurance companies, etc. are implementing data mining tools and software within their companies to reap the benefits it has to offer. There are numerous applications of data mining within the finance industry, including illegal stock trading detection and customer relationship management. Although, as valuable as data mining can be for a company, it still has its challenges and limitations.