In general, Data Analysis is used to check the validation of the vaguely collected data in terms of variations and profitability. However, if Data Analysis is not used we cannot obtain the accurate, factual and optimum solution of the given challenge. Data Analysis tools helps us to understand the question and produces answer in a detailed space. It also helps to find the gaps between data such as missing values, unidentified variations, inconsistency of data and many more. However, the main objective of data analysis is to detect the problem. In addition to this, Data Analysis is widely used in detection of duplicity, sampling (purposive, stratified, cluster, simple random), fraud detection and forensic audits, ANCOVA, payrolls, time series, …show more content…
For analysis, advanced statistical tools are used and the experimenter can draw necessary conclusions and inferences. In business sectors, they have a huge amount of scattered data in terms of profits, loss, demand, supply, sales and production. The industrial, insurance, agricultural, banking, information technology, food industry, telecommunication, retail, utilities, travel, pharmacy and many more have challenges to manage their data. As the coin always has two sides, there are both advantages and a few disadvantages of data analysis. The key advantages of data analysis are- The organizations can immediately come across errors, the service provided after optimizing the system using data analysis reduces the chances of failure, saves time and leads to advancement. It is also used to compare strategies between two companies so as to reduce the prices and gaining attention of target customers, ultimately leading to maximization of profit and minimization of cost(as done in Game Theory). However, big data analysis sometimes becomes more tedious and disadvantageous because it uses software Hadoop which requires special provisions in the computers. For now use of Hadoop for real-time analysis is not available. The manner in which the data is collected and the decision making view can vary from one person to another. Here, the quality of data gets affected and leaves the data insufficient or inefficient. In order to tackle this problem, the researcher must be well experienced and should have deep knowledge about the characteristic under study. Also, we need to update data from time to time so as to avoid the changes in trend caused by the past data especially, for the rapidly growing
Hadoop [8] is an open source implementation of MapReduce programming model which runs in a distributed environment. Hadoop consists of two core components namely Hadoop Distributed File System (HDFS) and the MapReduce programming with the job management framework. HDFS and MapReduce both follow the master-slave architecture. A Hadoop program (client) submits a job to the MapReduce framework through the jobtracker which is running on the master node. The jobtracker assigns the tasks to the tasktrackers running on many slave nodes or on a cluster of machines.
Hadoop MapReduce is a framework for processing large data sets in parallel across Hadoop cluster. It uses two steps Map and Reduce process. An initiated job has a map and reduces phases. The map phase counts the words in each document, then reduce phase aggregates the per document data into word counts spanning the entire collection. The reduce phase use the results from map tasks as input to a set of parallel reduce tasks and it consolidate the data into final result.
There are many benefits that the BIS can bring to an organization such as boost productivity, sales and market intelligence, the setting of more accurate and realistic goals, positive return on investments, gain insights into consumer behaviors, operational visibility and identification of key trends (Holley, A. 2015). Recommendations for developing and using the BIS described in this case, include the use of an effective BIS that incorporates different factors or circumstances in the internal and external environment of the organization such as sales, costs, weather, items or services offered by the company, and trends. Another reason to implement BIS is to reduce voluminous amounts of irrelevant data, poor data quality, and user resistance that affect the effectiveness of
Data warehouses supports and transform enormous of data from single transactional files into single decision-backing database technology (K. Wagner, F.Lee, J. Glaser, 2013). Also, data mining is an IT concepts that Epic system has for extracting and identify specific clinical data. This transaction occurs when the tool is programmed to look for patterns, trends and/or trend rules. For example, North Point Health and Wellness Clinic render the following services: dental, mental health, primary care, lab, ex-rays, mammograms, vision and pharmacy services.
2015 St. Andrews International School Business & Management Extended Essay [Which components of Arsenal Football Club’s promotional mix in China need to be developed in order to maximize merchandise sales?] ABSTRACT The finality of this research project is to suggest the best promotional mix strategy that Arsenal Football Club could use to maximize their merchandise sales. Throughout the essay this paper will aim to answer the question “Which components of Arsenal Football Club’s promotional mix in China need to be developed in order to maximize merchandise sales?”
1. Define the following terms: GIS; A geographic information system is system made to capture, store, manipulate, analyse, manage, and present spatial or geographical data. FOSS; Free or Open Source Software. FOSS programs have licenses that allow users to freely run the program for any purpose, modify the program as they want, and also to freely distribute copies of either the original version or their own modified version. ILWIS; Integrated Land and Water Information System is a GIS / Remote sensing software for both vector and raster processing.
The data for this thesis paper will be obtained from research online, from
2.0 Procedure A few secondary resources were used in the research process. These sources range from newspapers articles, news website (BBC) and online databases which were accessed via the Internet. These sources were chosen based on direct relation to the topic and its scope. Moreover, these sources were referred to gain better understanding about the topic and explore expert opinions and research done in order to fulfil the criteria of each objective
IDEO Exceeds word limit IDEO is an international design and innovation consulting firm founded in 1991.IDEO provides product development and branding services for a large number of clients including 3M, Acer, Coca-Cola, ConAgra, Ford, Intuit, Marriott, Microsoft, Sony, Target, Toyota, Visa, Walgreens and many more. Examples of their projects include Apple’s first mouse, the Palm V, and Steelcase’s leap Chair. They currently employ more than 600 people in a wide range of disciplines that include behavioural sciences, communication design, digital design, education, electrical engineering, industrial design, organizational design, and software engineering. Their three major global
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.
First of all, I need to clarify that there is no dominant method of comparison between countries. Every method has its own advantages and disadvantages involving the level of abstraction, the scope of covering, etc. (Landman & Carvalho, 2016).In the early days, Lijphart (1971) called comparing many countries when using quantitative analysis, the ‘statistical’ method and on the other hand, when comparing few countries with the use of qualitative analysis the ‘comparative’ method. But nowadays, comparative studies are conducted to compare similarities and differences across countries and within countries.
The following section will consider advantages and limitation of the first two mentioned types of digital forensics: Traditional (dead) and Live computer forensics. TRADITIONAL (DEAD) VS LIVE DIGITAL FORENSICS Traditional (Dead) Forensics In order forensic acquisition to be more reliable it must be performed on computers that have been powered off. This type of forensics is known as ‘traditional’ or 'dead ' forensic acquisition. The whole process of dead acquisition, including search and seizure flowchart and acquisition of digital evidence flowchart is shown on Figure 2 and Figure 3 respectively.
Relational Database Management System: This type of database management system that stores the data in the form of related tables. It is a social database administrator which deals with some typical kind of queries and uses SQL for the development of the database. This type of database is a very powerful database as it deals with the relations which makes the data manipulations easier other than any other database. It has the features of data entry, data deletion, and creating of new entry and records etc. the database provides the ease of accessing and maintaining data easily.
One of the foundations of sustainable development is efficient environmental management (UNEP 2002). However, balancing the needs of current generations without compromising the environment for future generations poses to be quite problematic. A number of environmental decision-making instruments have been developed in an attempt to ensure that development is sustainable. One of the most popular of these is environmental impact assessment (EIA). This essay will be based on the strengths and limitations of an Environmental Impact Assessment.