2.1 The Potential of Big Data in Decision Making
In making the decision making, the organization can use 5 concepts of big data which is volume, variety, velocity, variability and complexity of big data as reference before they start making a decision. The organization can gain more information by depending with big data in their decision making. The big data can give a potential to the organization in making their decision becoming one strategic decision. It is also can use in making a revolution in research and also in education. The academic organization can use the big data in their decision making to make an effective decision about the students’ education, staff etc. The organization can reach the data through the database that keep all
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Big data can give a consolidation in organization in handling their medicine. The big data can help organization in handling the patient. When patient come to the hospital to do a check up to know what kind of sick that they have, they will refer to the doctor first. Doctor will play a role as decision maker in deciding what kind of medicine that they need to give to their patient by doing a check up to their patient. Before that the doctor need to know either the patient have any disease or take any medicine before this before they are deciding the medicine to give to their patient. So, the doctor will refer to the big data through the database and look about the patient to see the history about patient’s health. From that, the doctor can decide what kind of medicine that they need to give to their patient. The doctor can use the big data in diagnoses their patient by look at the patient data through electronically by assembling the data and make it as report about the patient that they can get through the big data storage. The doctor cannot make the decision making without having a right data. All possibility about the patient must refer to the data first and then the doctor can decide what kind of medicine and tell the patient about their …show more content…
This is because all the data are storing in in the storage through electronically. All the data can get through using the electronic devices. The big data is store on in memory computing that enable to store a large amounts of data. That organization does not need to find the data through manually that require a lot of time in retrieval process. Moreover, big data that store manual using the traditional process is hard to access because its will place in the huge storage that need to find one by one through paper. It will make the task of staff become difficult because the data that request by the decision maker are not know where it been place. By having the big data through electronically, it easy to find and the decision making will be faster because all the data can assembly at one place to be a report because it have been place in one storage in the cloud or server. The decision maker only need to type the data that they want to use and it will appear a huge volume of data that known as big
• The four major systems each have its own database and interfaces had to be built for them to all communicate with each other. This is caused information to show in multiple formats and is difficult to reconcile. Providing accurate reports for banking and government regulators is very challenging.
"The Future of Big Data." Pew Research Center: Internet, Science & Tech. N.p., 19 July 2012. Web. 7 Mar. 2017.
We must filter and customize that downloaded data for the health conditions that we primarily try to improve. Once data is customized and filtered properly, it gives us “care gaps”. Those care gaps can be easily closed out by accessing patient’s EMR or by referral. This updated data then gets uploaded back to the healthcare insurance company data set for reporting purpose. Data analytics helps health profession close the care gaps and improv care coordination between
A well-organized system will save time when a doctor is in talking with a patient because all the pertinent information will be easy and quick to find. No patient wants to sit there and wait for the doctor to find the information or ask, "why are you here again?" Being able to easily navigate the system and have things well-organized will be in the best interests of the facility, to better care for their patients. Resources: The American Health Information Management Association.
Many people in the company need access to data to help them do their job better. The main questions revolve around who needs what data, and who chooses what data gets to be shared. Looking at all the pieces, as well as the IT and information assets, the governance of the data belongs to a data owner (Khatri & Brown, 2010). The main questions to be answered must include who is the data owner? Who is responsible for data quality?
"A leader is a person who decides; sometimes he decides right, but always he decides.” As this anonymous quote demonstrates, leadership and decision making are inextricably linked. Leaders are often called upon to make important decisions which will have far-reaching impacts on the lives of many people. Because of this, it is essential that those who wish to become great leaders work diligently to cultivate their decision-making skills. Aspiring leaders can learn to make positive decisions by studying the traits of the great decision makers of history, such as Rosa Parks, Cesar Chavez, Marie Curie, Martin Luther King, Jr., and Franklin Delano Roosevelt.
Clay Shirky, the author of “Does the internet make you smarter?” wrote about how ignorance has poisoned the internet with incorrect information. Not only does technology has its flaws, but so do books and novels dating back to the Protestant Reformation. Even though many people are against the internet Shirky reassures that if used correctly and appropriately, then it can become a very useful tool that can “tap our cognitive surplus”. The increased collaboration of technology is important to society for the reason that the internet is full of valuable knowledge that can be claimed very quickly and easily. Increased collaboration is absolutely a benefit.
Amazon is purely an online sales portal. Based on premium web rating organizations Amazon has a position ranging from 4 to 10 on a global ranking of premium websites. The presence of Amazon in the virtual world of internet is unquestionable. Big Data is a technology area which is highly talked about during the last several years. During the last 18 months, companies in the retail sector, manufacturing, construction, and technology areas have realized the extreme potential of Big Data and are trying to gain maximum advantage from it.
5.1: Identify ways of supporting an individual to make informed choices. In a health and social care there are many ways you can support individual 's that you may work with, to make some informed choices. As a career worker it is important that you are not judging while communicating, empowering and encouraging the individual to make informed choices, while respecting their choices as well as supporting them to challenge or question their decisions concerning that are made on their behalf to make sure that they are awake and have a full knowledge.
Even though organizations hold huge amount of data, they cannot use them effectively as they are unstructured. However new technologies are now available which enable analysis of large, complex, unstructured data. The accessibility of technology has become easy; as a result, there is massive increase in data amounts available with the entrepreneurs. The data usage depends on the ability the way it is stored, managed and then analyzing it adequately. Big data is an upcoming and emerging trend in the field of Information technology.
The firm procures raw materials and components across the world and continually examines its production requirement against its manufacturing capacities to pursue cost reduction. Capabilities Thanks to the cloud, Revlon has been able to resolve the difficulties of big-data management efficiently by classifying all the unstructured data in the company (Swan,
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.
Tasting Success Article Page 95 Discussion Questions Question 1 Which decisions in this story could be considered unstructured problems? And structured problems? Structured problem Can be defined as a straightforward, familiar and easily defined issue, and it is easily solved by the eight step-by-step process Identify a Problem, Identify Decision Criteria, Allocate Weights to the Criteria, Develop Alternatives, Analyze Alternatives, Select an Alternative, Implement the Alternative and Evaluating Decision Effectiveness. The issue as described in the article is the orange juice production and it is considered as a structured problem, and the way it is produced, its mechanism is responsible for the production as it is based on Coca-Cola’s mixture
Big Data There are many different definitions for Big Data. SAS (n.d.) an analytical software company describes it as, “a popular term used to describe the exponential growth and availability of data, both structured and unstructured.” Many think Big Data just came into existence but it has been around for years. Banks, retail, advertisers have been using big data for marketing purposes.
The information system provides the basic data on the informational database. To the enterprise, the information system has two subsystems are related. There is data processing or information supplying sub-system and a decision making sub-system. The responsible the data processing system are for acquiring, coding, processing and forwarding the information for the activity and operation. The responsible for decision making subsystem are the effect of directly or indirectly with management processes from data-processing systems.