BIBA students at FCU blog about big data

BRADLEY NIKOLAS 施金龍 D0726892 Participating gamers enjoy $50,000 (£36,000) salaries, while competing for a prize pool totalling a cool $3.5 million (£2.5 million). Just as data analytics is helping golfers, athletes, F1 teams, football clubs, and cricketers improve their performance, esports is well-placed to follow suit. Nowadays, creating pre-game strategies, analysing matches post-game and guiding training regimes are all informed by access to match footage and data analysis online. “Back when I started there weren’t really many resources [for data],” says esports broadcaster and analyst Harry Thomas (aka Lethal_HT). It’s why specialised gaming analytics firms have sprung up, not only capturing the vast wealth of match information available, but using algorithms to automatically suggest improvements. Mobalytics[1] pitches itself as the first ‘personal performance analytics platform that highlights your strengths and weaknesses to help you boost your game.’ Devoted to League...

BRADLEY NIKOLAS 施金龍D0726892 Criminal justice policy in the US is out of control and needs fixing, argues Daniel P. He writes that many policies designed to tackle crime lack an evidence base, and combine with punishment-based responses to create what he terms a ‘cycle of dysfunction.’ In the current era of Big Data, he calls for a move away from ‘correctional quackery’ towards a criminal justice and correctional policy that is informed by data and analytics. Gun-related violence affects every part of America. Researchers have found that the situation is, if anything, bleaker when we turn to criminal justice and the correctional system. Consider the claim that mental illness leads to violence: Yes, some individuals with mental illness commit crime. If we want to reduce gun-related or violent crime, targeting these individuals will achieve little relative to what could be gained by a more comprehensive approach to assessing criminal risk. Another indicator is three decades of emp...

Short History of big data Where does Big data comes from? The term Big Data has been used since early 1990's. It is used to support decision making process. Now days the amount of data has been increasing very fast that is impossible to analyse all of it. The need of process these increasingly large and unstructured data sets is called Big data. The evolution of these process is mainly separated in 3 phases each one with different characteristics and capabilities.          Big Data phase 1 It is originated by the longstanding domain of database management. It relies on  the storage, extraction and optimization techniques that are common in   Relational Database Management Systems (RDBMS). Data management and data warehousing are considered the main components of this phase.         Big Data phase 2 In the early 2000 the internet started to offer data collections and analysis opportunities. Some big companies started t...

How AI Drives Customer Experience I think that AI will become the basis of the world one day as the only thing human cannot control is  innovation and evolution, technology will continue to evolve because it is essentially the core of what technology is, innovation, and the end result will be that technology surpasses the human capacity if knowledge and intellectual capacity and that in its final form would be AI (artificial intelligence) that personally is my opinion. Artificial Intelligence (AI) is no longer a futuristic term that has the ability to send shivers down our spines as it brings back memories from the movies we have all watched with robots taking over the world. AI is now perceived as a beneficial and friendly word of the 21st century and it is yet to grow even more in popularity. Corporations of all sorts and sizes and turning an eye towards the potential benefits of implementing AI into their business strategy and expectations are that the use of artifi...

The Math Behind Machine Learning I think machine learning will become the basis of most technology around the world in the future because it eliminates the need for human manpower and therefore eliminates the human error that is occurrence in most sectors of industry which accounts for most errors as machines learn faster are smarter more cost efficient over the long term and instead retraining and retrenching employees machine learning can be improved with upgrades both hardware and software which makes it both faster more efficient and simple , it also takes out the emotion sector of problems which will ensure a constant productivity. Machine learning is a wildly popular field of technology that is being used by data scientists around the globe. Mastering machine learning can be achieved via many avenues of study, but one arguably necessary ingredient to success is a fundamental understanding of the mathematics behind the algorithms. Some data scientists-in-training often tr...

Topic 5: Big Data in E-Learning: The Future of eLearning Industry Name: 陳美菁 Student ID: D0773630 Reference: https://elearningindustry.com/big-data-in-elearning-future-of-elearning-industry Author: Christopher Pappas In recent years, Online learning systems have met big challenges, especially due to rapid changes in technology, the gigantic amounts of data to be stored and manipulated, the large number of learners, and the diversity of educational resources. As a result, e-learning platforms must change their mechanisms for data processing and storage to be smarter. In this context, big data is the relevant paradigm for the distributed and parallel processing of large data sets through thousands of clusters. It also offers a rich set of tools in order to improve data collection, storage, analysis, processing, optimization, and visualization. Big Data is set to revolutionize the way E-Learning is designed, developed, and delivered. Introducing this technological innovation...

Topic 4: How Is Big Data Transforming Business? Name: 陳美菁 Student ID: D0773630 Reference: https://www.bernardmarr.com/default.asp?contentID=767 Author: Bernard Marr With the help of big data, companies aim at offering improved customer services, which can help increase profit. Enhanced customer experience is the primary goal of most companies. Other goals include better target marketing, cost reduction, and improved efficiency of existing processes. Big data technologies help companies store large volumes of data while enabling significant cost benefits. Such technologies include cloud-based analytics and Hadoop. They help businesses analyze information and improve decision-making. Furthermore, data breaches pose the need for enhanced security, which technology applications can solve. Big data has the potential to bring social and economic benefits to businesses. Therefore, several government agencies have formulated policies for promoting the development of big data...

Topic 3: How Does Big Data Help Companies Name: 陳美菁 Student ID: D0773630 Reference: https://www.bernardmarr.com/default.asp?contentID=1738 Author: Bernard Marr Using Big Data has been crucial for many leading companies to outperform the competition. In many industries, new entrants and established competitors use data-driven strategies to compete, capture and innovate. According to experts, Big Data can create a lot of new growth opportunities. It can even give rise to a new category of businesses, such as the ones that analyze and aggregate industry data. Most of these companies will be sitting in the middle of large information flows about services and products, suppliers and buyers, consumer intent, and preferences. Companies across industries should start building their Big Data capabilities aggressively. Big Data is a combination of all the processes and tools related to utilizing and managing large data sets. The Big Data concept was born out of the need to understan...

https://www.upgrad.com/blog/data-analytics-applications/ In our generation, it seems that data dominate human society. A significant amount of information is circulating all over the world due to that the internet becomes more and more popularization. As a result, the big data analysis becomes an emerging technology which will be essential in our daily life. All the convenience in our daily life nowadays is based on energy since several industrial revolutions have changed the way we live. Hence, searching sustainable energy and energy management comes first on the list. Indeed, many firms enhance their energy management system by using the applications of data analytics. With the assistance of the data analysis model, those utility-based companies can build constructions and equipment like smart-grid management, optimization of energy, energy distribution, and automation building. What is more, big data analysis helps by focusing on controlling and monitoring of a dispatc...

https://www.upgrad.com/blog/data-analytics-applications/ In our generation, it seems that data dominates the most modern companies. A significant amount of information is circulating all over the world due to that the internet becomes more and more popularization.  As a result, entrepreneurs are conscious that this data technology will raise a revolution in this era.   To obtain such critical insight into data as a whole and keep competitive, it is important to analyze data and structure specific information model that can be used to enhance certain aspects of a market or the business as a whole. There are several applications of data analytics elaborated in the following paragraphs, and businesses are actively using such data analytics applications to keep themselves in the competition. Not only businesses but even government departments are adopting data analysis for several reasons, like monitoring crime. Big data analysis can be used to revolutionize not on...

Topic 2: Why AI Would Be Nothing Without Big Data Name: 陳美菁 Student ID: D0773630 Reference: https://www.bernardmarr.com/default.asp?contentID=1155 Author: Bernard Marr Big data, unstructured or structured, fast or slow, in multiple contexts or one is a beast to manage. Big data is growing fast fueled by the democratization of data and the IoT environment. Often organizations simply control what they know they get results from and then store the rest for future leverage. Big data and AI complement each other. AI becomes better, the more data it is given. It's helping organizations understand their customers a lot better, even in ways that were impossible in the past. On the other hand, big data is simply useless without software to analyze it. Humans can't do it efficiently. The pairing of big data and AI creates new needs around infrastructure, data preparation, and governance. But this is several things on how AI works when it is being applied to Big Data. ...

https://www.entrepreneur.com/article/341462 The Power of Data: Four Ways Process Mining Can Save Your Business Big data play a key role in many industries, analysis the database to improve your business, a t a minimum, companies have to monitor data related to budgeting, profits, and revenue. However, more and more companies rely on data analysis to track and understand marketing initiatives. Lead conversions, newsletter click rates, and website visitors are all key pieces of information that can help companies determine which measures are working and which ones may not be. Of course, there are tons of other data indicators companies use depending on their niche and objectives, and sales data is often integrated into these analyses as well.     1. The transformation  did right: You can’t transform and scale your business without understanding what processes need to change first. In fact, a lack of information about existing processes kills 70 percent...

BRADLEY NIKOLAS 施金龍 D072892 In a relatively short period of time, big data has become a big business in professional sports. The market for sports analytics is expected to reach almost $4 billion by 2022, and teams around the world are racing to get some competitive advantages. The way we play soon never be the same. Lets take a look how this sport has change by the data and become their new tool to reach success  Soccer : In 2007, there is a soccer club called Lincoln City F.C. They made a historic run to the quater-finals of the FA Cup for the first time since forever, becoming the first non league side to reach that stage in more than 100 years. And big data played a big role.  At the root of their analytic strategy was a video review tool, which is used by 150.000 teams worldwide. They record all their matches and upload the footage to the system, which automatically generated their statistical reports of their games. The video can be broken down into playlis...

BRADLEY NIKOLAS 施金龍 D0726892 Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.  The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of big data gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three V’s: Volume The volume of data refers to the size of the data sets that need to be analyzed and processed, which are now frequently larger than terabytes and petabytes. ...

Bradley Nikolas 施金龍 D0726892 Big data is a buzzword that has been tossed around a lot lately, but it has also become big business. Because of this rapid growth, the job market for big data is wide open. Jobs in almost every industry require big data specialists. Whether your interests lie in security and software development or even data management and storage, there is something to fit your skills and job preferences. As technology continues to expand, this trend is expected to explode even further over the next five years, and there will be a huge deficit of qualified applicants. Now is the time to break into this multi-billion dollar industry where you could land the job of your dreams. What a Career in Big Data Offers You Depending on the specific position along with your skill and education level, big data jobs are very lucrative. Not only is big data a rewarding career that exposes you to the latest in technology, but it also provides a nice living for you...

Big Data Is Offering Awesome Homework Solutions For Students Blog #5 Ariel Sonbay D0731711 website : https://www.bizidev.com/5-unique-ways-people-use-social-data-in-their-business/  Big data is changing the way students learn by offering amazing homework solutions. Here's what to know about what big data offers. Why Do Universities Use Big Data? One useful platform based on big data was created to reduce the number of dropouts. This platform aggregates all students’ grades and finds problems. A professional teaching staff work with students who fail to offer them tutors or other assistance. The university can also use big data to analyse student participation in a variety of campus activities. The university monitors the frequency of campus visits and activities with ID cards: if student involvement is decreasing, university staff identify the cause and can offer assistance. Big Data and Students’ Homework Students have always been unwilling to deal with their...

Blog #4 Ariel Sonbay D0731711 website : https://www.bizidev.com/5-unique-ways-people-use-social-data-in-their-business/  5 Unique Ways People Use Social Data in Their Business 1.       Event Targeting              Social data can help you to have visions on what kind of event your target audiences are interested into and helps you to target through them. With this, we can then collect your data on what kind of events best for our business. After we have the information, you can start a new marketing campaign for your business that is focused on those events. 2.       Identify Favorite Trends and Interests             When it comes to sharing content with audience, one of important thing to achieve the best results is by providing your audience with content that they actually like. If we m...