Data analysis consisting of data collection, data sharing and data analytics. In healthcare the data collection is done by electronic medical record (EMR), sharing the data between the workflow team done by health information exchange (HIE), finally collected and shared data is analyzed by enterprise data warehouse (EDW). HCO are vastly using analytics capacity to gain an accurate and deep understanding of information and operational improvement to meet the business new challenges. Analytic data provide more personalized healthcare, we can also find frauds and predict the patient behavior. In organization every level has its own kind of development, organizations like Intermountain healthcare ineffective at lower levels but from level 5 its start efficiency where analyst and data architects spend more time on marketing differentiating analytics.
In today’s society, another revolutionary invention that has shaped the circulation of information is the World Wide Web, also known as the Internet. The Internet’s quality of data widely varies from either outright abominable to pristine and clear data. The widespread abundance of all of this data is now known as “Big Data” Silver (2012). Silver goes on to illustrate many examples of statistics at work among many fields such as the failure of the stock ratings agencies to properly rate the actual integrity and value of the corporations due to greed. Silver also goes on to criticize television pundits and classifies so called “analysts” and experts into two groups; hedgehogs and foxes.
Business analytics is used by companies to convert collected information into practical data that is usable for optimizing performance (Griffin, 2010). It includes almost all data analysis activities a company conducts. “Business analytics includes predictive analytics and modeling, performance management, business intelligence (BI) and data management” (Griffin, 2010). The foundation of business analytics is statistical data which is used to determine or predict possible outcomes (Galleto, 2017). These potential outcomes are then used to make smarter business decisions and to plan strategy moves (Galleto, 2017) Benefits of Business Analytics Molly Galetto, of NG Data identifies some of the benefits a company can receive from implementing business analytics in its decision-making process.
Verizon has embarked on an enterprise-wide Data Centralization and Analytics initiative to use data as a competitive advantage and provide business insights that enhance shareholders value. Verizon understands how enhancing the maturity of the use of BI and advanced analytics on data will drive the business. Verizon just as many other companies such as Walmart, Netflix and Google are constantly apply their analytical capabilities with analytics. Understanding or acquiring the talents that have a passion or diligently wanting to improve and transform data analytics is a key priority at Verizon. Verizon has created a new team and initiative that forward think out of the box to achieve multiple parallel projects in the governance/operating work stream and the overall initiative.
Mathematics is a necessary skill that we have to possess in our daily lives. Including statistical knowledge, mathematics can not only help us solve simple calculations, but also changes conversations and encourage the disruptive innovation in the 21st century. In this essay, a speech, performed by Talithia Williams in the main building of UTSA, which is aimed to use big data to change the world, will be discussed.
The search for meaningful patterns in data has always been at the forefront for curiosity. From scientists examining the infinite blackness of space to find a set of laws in an otherwise chaotic universe, to children exploring their small ecosystem in search of reasons as to why Mother always responds positively to laughter, analytics is deeply ingrained in all of society. This phenomenon of humanity's recent obsession of metrics have now invaded the work environment. For companies that have accepted this recent shift, every action that an organization does is calculated and methodical.
The key components of value creation are time and uncertainty and I want to learn the implications of these components in assessing value. You have solved the puzzle if you can figure out what is the worth of something at the end. Therefore it is my desire to learn the art of aggregating financial data, to figure out how an organization can leverage it, to operate more effectively and effectively and use it to connect the dots from business gains to human behavior and from data generation to money spent. I believe that I have a strong ethical responsibility towards society and have always chosen to do the right thing. I hope to design financial solutions to solve major healthcare and social problems in the underdeveloped and developing
“..when computers can engineer software and cure diseases on their on their own, demand for human labor will plummet” (Gus Veerman). Even the White House officials agree that occupations that require a high use of creativity, interpersonal communication and analytical thinking will be most secured in the world of technology. Jobs such as those are immune to these technological advances. There is no gaurentee that a great job graduating college today, will be a good job five years from now. The innovative society today takes jobs from college graduates every
“Investments in analytics can be useless, even harmful unless employees can incorporate that data into complex decision making
In reference to Business Analytics, I am intrigued by the challenge that is presented in representing the client's data and taking control in creating a platform that will help them analyze and make key
Going forward, I aspire to be a senior analytics professional and solve complex business problems using different analytical tools like SAS, R, SQL and Tableau. I feel that I am a good listener and extremely client-focused which helps me take best decisions on their behalf. I’ve been told by those I’ve worked for that they entrust me with complex business problems, as I like to solve for business insights and create solutions.
Following are the trends to watch out for in 2017. 1. Big Data becomes fast and approachable 2. Variety, not velocity or volume, drives big-data investments. Analytics platforms will be evaluated on the basis of their ability to provide live direct connectivity to these disparate sources.
As big data things continue to grow in this modern era, today we can learn how to predict or assume anything that will happen in the future with data from the past. This studies known as Predictive Analytics. Predictive analytics combine methods from machine learning, data mining and statistics to find meaning or pattern from a huge volume of data. Tom H Davenport, a senior advisor at Deloitte Analytics has broken down three primer models on doing predictive analytics: the data, statistics, and assumptions.
My interests lies in the fields of Artificial Intelligence, Machine learning and Data Mining and use these disciplines to contribute in the fields of science and business. The learning climate at University will teach me to think radically, boost my confidence and broaden my perspective. The Master’s program in Computer Science at the sound academic environment will help me achieve my true potential. It is therefore, just the right place that will prepare me with exceptional academic and professional skills and enhance my personal growth.
PERSONAL STATEMENT My personal objective is to use my knowledge, experience, and skills with the intention of securing a professional Career with an opportunity for challenges and career advancement while gaining knowledge of new skills and Expertise. I have taken up every chance I have had to learn about computers through theory and also do practicals for the theory learnt Computers have been an important future of the day to day life as they have influenced the rapid changes in my country in the recent years, Information technology has brought practical solutions for the already existing problems in the country , I believe that this Master’s degree will help me attain my personal fulfillment and also be able to benefit the country at large, being able to help transfer different systems from manual to computerized . Information technology is a distinct science from information system management, computer science, and computer engineering. IT focuses on meeting the needs of users through the creation, application, and management of computing technologies.
