data analytics

Database and Data Mining for Consumer Products and Services {0}

By Jonathan C.

A successful business needs to have quality products and services. Today, to achieve both at the same time with efficiency, business must have a way to achieve the data collecting, storing, analyzing and sharing the information. The introduction of computer enabled business a new way to deal with increase data instead of pen and papers. Some company have their database as early as 1970s. Per Jianfeng Wang, Wal-Mart’s database of programs and control systems were activated in 1972 for store and management levels use. At the early stage, the database is mostly used for product distribution and communication between the suppliers and retailer. Moreover, per Constance L. Hays from The New York Times, database and mining for consumer did not start until early 2000. Now many major business services such as retail, banking, insurance, health, and many more are using database and mining to benefit their relationship with their customers. The world of marketing has change from product-orientation to customer-orientation. read more...

Machine Learning Applied to Agriculture {0}

By Johnny C.

Technology is always changing and growing. In the modern day, advancements in technology come at exponential rates. One of the fastest ways to get ahead in an industry is by investing in cutting-edge technology. Agriculture is a huge part of the economy and is very important in sustaining countries. A more recent development in agriculture industry, is machine learning. Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed (Rouse, 2016). An example of this is, is an advancement made by biologist David Hughes and epidemiologist Marcel Salathe. “They fed a computer more than 50,000 images, and by learning on its own, the program can correctly identify 99.35 percent of the new images they throw at it.” This is a huge advantage for farmers, allowing them to understand what is affecting the crops, and finding faster ways to cure them. Machine learning can also help discover the best times and locations for crops, maximizing the yield. Although there are limits and challenges to machine learning, it is capable of pushing the boundaries in agriculture. read more...

Data Analytics Enhances Higher Education {Comments Off on Data Analytics Enhances Higher Education}

by Allen D
The concept of data analysis is useful in transforming human behavior innumerably. Search engines, learning machines, and predictive analytics shape the types of products people buy, the games people play, and the movies people watch. The article, “Big Data For Higher Ed: With $4.1M From First Round, Floodgate, Former Kaplan Exec Launches Civitas Learning” by Rip Empson, announced that Civitas Learning, a start up company, has embarked on this contingency to transform higher education. Colleges and universities are limited to their old systems and resources as student admissions are rapidly increasing. This makes it difficult for institutions to track the efficacy of students’ progression towards their degree. This includes figuring out whether or not their curricula, testing, coursework, and teaching styles are working for them. Civitas Learning provides a service that enables administrators to process student demographics and behavioral information between generations. Such technology grants institutions the ability to make sense of their large data and provide  recommendations to different courses. Civitas is well on its way towards their mission. They raised $4.1M in funds from companies such as Austin Ventures, First Round Capital, and Floodgate. So far, they’ve collected over one million student records and more than seven million course records from community colleges, four-year universities, and proprietary schools. Charles Thornburgh continues to work with more than dozens of institutions to optimize their data proceeds. read more...

Personal Data Analytics {2}

by Allen D
The article, “What 23 Years of E-Mail May Say About You”, by Anne Eisenberg talks about ways in which every day people can utilize the power of data analytics. We tend to perceive the idea of data analysis on a larger scale– businesses keeping track of their daily, monthly, and annual progress through data modeling and analysis. Stephen Wolfram, a scientist and entrepreneur, incorporated the idea of corporate data analysis into his new software, “Wolfram Alpha Pro”, where people can monitor their daily activities digitally. As citizens of the digital age, we accumulate large amounts of data in our lives through everyday activities– especially telephone conversations, electronic mails and writing. Dr. Wolfram suggested that the outstanding compilation of our digital information could be used to analyze our daily lives. Over time, data graphs give us a visual snapshot of a specific period in our lives that depict how we spend our time and energies. Such as how businesses analyze their data to make better decisions in the future, people can also use their personal data to improve their lives. For example, Dr. Wolfram tracked patterns in his personal data to determine what activities helped stimulate new ideas during his entrepreneurial venture. We may have memories of times he sprouted a brilliant idea, but details of its upbringing are often times unclear. A data graph provides contextual evidence to help us recall these situations for the purpose of future innovation. On the other hand, businesses become a lot more competitive. For example, companies may realize through data graphs that periods of highest outgoing calls correlated with the highest sales percentage. Such business would have an idea of what worked and what didn’t. Perhaps we want to track the progress of our weight loss goals. We could simply record the foods that we consume on a daily basis and the amount of calories burnt during an exercise session. In a matter of 30 days, we should have an idea of our habits and how we could fix them to better reach our goals. With so much potential in its usage, the data tracking system may end up becoming a sort of digital treasure trove of memories, historian or even a coach for developing better work habits and productivity. read more...