Big Data Archive

Data Mining and Database use in the Construction industry

By Mackenzie B.

With the advancement of technology and our ability to pool and collect information digitally, we’re able to minimize the collection of previously written copies of work and compile them into simple small archives of information. Where previously files, folders, and endless drawers of signed documents were once stored; Databases allows us to maximize the efficiency of the construction industry ranging from a collection of completed land permits, to legal documents and leases, to client information and a collection of parts for labour. Having engineers being able to pre-test their designed structures and building managers and clients being able to understand how strongly designed their structures are, are some of the most important steps in creating a well built building. read more...

Data Mining in Agriculture

By: Paola A.

Every year, technology changes and new developments help many economic sectors discover new ways to improve, forecast a change, etc. For example, one economic sector that is benefitting from using new developments in technology is agriculture. In agriculture, a way to discover this type of changes is through data mining. But what exactly is data mining and how is agriculture benefitting from this. “Data mining involves the process of finding large quantity of previously unknown data, and then their use in important business decision making” (Milovic & Radojevic, 2015). For instance, in developing countries such as India, using data mining for “price prediction helps the farmers and also Government to make effective decision[s]” (Hemageetha & Nasira, 2012). Furthermore, data mining is something that could also help consumers by preparing them in case of any change in prices. Finally, this method of collecting data is something that can definitely improve and benefit the way farmers, government, and consumers make better decisions in the future with different applications, but it also has challenges and limitations.
Using data mining in agriculture benefits farmers, government, etc. in many ways. One of the ways that using data mining is beneficial in agriculture is “possibility to study hidden patterns in datasets in agricultural domain. These patterns can be used for diagnosing crop condition, prognosing market development, monitoring customer solvency” (Milovic & Radojevic, 2015). In other words, it can help farmers tell around the time that their crop would flourish, make predictions of when their product is more likely to sell, and what product customers are buying more. Also, another benefit is that “Agricultural institutions use data mining technique and applications for different areas, for instance agronomists use patterns measuring growth indicators of plants, crop quality indicators, success of taken agro technical measures and managers of agricultural organizations pay attention on user satisfaction and economically optimal decisions” (Milovic & Radojevic, 2015). read more...

Data Mining in Marketing

By: Mohammed A.

Have you ever experienced this, where you open your social media page and all of a sudden see advertisements of a shirt or pair of shoes you were looking at a day ago; well know that it is not a coincidence. It is very likely that the company has been monitoring your online habits for some time and used that data to market and advertise specific products that align with your interests. Within the journal article “Revisiting the problem of market segmentation,” the author emphasizes how data mining helps marketing users to target marketing campaigns and also to align campaigns with the needs, wants, and attitudes of customers and prospects (Lien). This process is most widely used digitally, where every website a person visits leaves a digital footprint, which allows companies to gather that data and market products that will appeal to the individual the most. In essence, data mining can be very beneficial in the advertisement and market industry, where companies are able to gain a competitive advantage through the use of various tools and techniques that allow them to monitor their potential customers’ behaviors. read more...

Marketing Analytics

By Michael S.

Businesses have to do something to make sure that they are not wasting money. One way to help business not do that is to analyze market performance, it sees if the company is being efficient and maximizing effectiveness. Market analytics can also help find customer trends to see what customers are currently interested or what they will start to get interested into next. Also, with the advancing technology businesses have to use more than just web and social analytics to see make effective decisions, they need marketing analytics. With marketing analytics, they can get information over a span of time across all the other channels. read more...

Software as a Service

By Jose T. S.

If the internet did not exist, imagine how much effort and production a business will spend without the applications and tools that exists today. Software as a Service, in short for SaaS delivers software applications to business enterprises over the internet using a pay per use (subscription) based revenue model. It is a tool that is established to maintain customer focus and faster business communication. read more...

Future Business Decisions with Prescriptive Analytics

By Jerome F.

We live in an age where technology has far surpassed our expectations and has exponentially grown over the course of the past several decades. With these rapid technological advancements, it is has become more increasingly complex for organizations to examine data that will benefit their own business. Organizations remedy this issue by examining these raw data through the utilization of data analytics, a concept that is used by implementing three key ideas to create better efficient business decisions. Prescriptive analysis, the third and final phase in this process, wraps everything up and formulates recommended actions for organizations to move towards for desirable outcomes. read more...

Big Data in Agriculture

By Michael W.

The influence of Big Data has been felt in a variety of fields, but there is one that most people wouldn’t initially think of and that is agriculture. The current trend of Big Data has had such a huge impact in agriculture that it even goes by a different name known as precision farming. In this process, “real time and historically generated data is collected in structured and unstructured datasets” (Bendre 2015). Farmers are well versed in knowing the several factors that can affect their crops and livestock from producing the best results possible, but there is only so much they can do within a given time. This is why the effect of gathering useful data and analyzing it through the assistance of Information and Communication Technology (ICT) is crucial to maintain efficiency. With the help of this not only will farmers be able to make smarter decisions on what their next course of action should be but also how they will “figure out how to feed the 9 billion people that will be on this planet by 2050” (Gilpin 2014). The old methods used in agriculture used thus far will not be enough to solve issues of the future.
The Indian company, Chitale Dairy, has gone a similar route by increasing the overall quality of milk production from their cows by having Radio Frequency Identification tags (RFID) placed on each cow to transmit information to the cloud and mobile devices. In order for farmers to do everything that is instructed correctly, “the farm then sends a to-do list to farmers in their local language each morning on what each cow needs based on the data collected from the RFID signals” (Horowitz 2015). The execution of this allows farmers to do everything needed which will also inform them of any warning signs a cow may give off indicating illness.
Despite the clear positives of Big Data’s use, there are many issues that result from it as well. As with anything else involving technology, maintaining security is one of the top priorities for farmers. By having so many devices with special sensors attached to the transferring data to its respective cloud, it runs the risk of having valuable information accessed from a threat. As stated by one farmer, “the overwhelming fear is that it falls into the wrong hands, be it a neighbor, a seed retailer, a fertilizer company, or a big agriculture corporation. And then that data is used against the farmer by being sold to a competitor or undercutting a neighbor for a better deal on land prices” (Gilpin 2014). Another issue that needs to be addressed is how ethics is involved. As Dennis Ludena has stated in his work, due to the recent popularity of Big Data, a significant amount of people haven’t fully grasped the consequences of showing only portions of data that looks pleasing to other individuals after “cleaning” the data sets.
Being at the forefront of creating a greater yield of products consistently has been the driving force of using Big Data today and it will only continue to grow from here. Even though there are some clear problems dealing with the use of this valuable information once it is obtained, I strongly feel that it is the right way to go about solving pressing issues in agriculture. With the help of this, there can be a way for farmers to have a greater output with the same amount or maybe even less input. read more...

Big Data on Customers

By Kyle W.

Big data is becoming much more common and popular in many industries. The last decade has seen a huge increase in the amount of data that is continuously being generated and collected in a rapid rate, creating pressure among businesses to stay competitive that has amplified to a whole new level. Due to this, companies understand that customers can be assisted through big data analytics. Not only does Big Data help companies stay competitive, but it also helps create better customer relationships and experiences. read more...

Databases and Technology in Politics

By Tony W.

With the onset of the information age, databases and various sorts of technology have been playing a large role in politics around the world and in the United States. Nearly All successful political campaigns are using data in a meaningful way. Being able to understand it and take advantage of it can be the key to winning an election. read more...

IoT Application and Analysis

By Jonathan Tr.

Technology today is growing faster than ever and improving the way we live in multiple ways. Cloud technology is now wirelessly collecting data from everyday physical objects embedded with sensors, chips, onboard computers, and so on. It’s changing the way we do habitual things like eat, sleep, and exercise while simultaneously collect and store all the data. Tech giants today like Google, Amazon, Microsoft, Cisco, IBM, Intel, and many more, are realizing the potential of this real time data and offer a variety of unique ways in processing all that raw data to turn into information for the rest of the world. One of the many problems with all this real-time data is how we can analyze this data to build IoT applications and benefit consumers and the industry. read more...