The Analysis of Factors Affecting College Choice by Using Tableau

2018 ◽  
Vol 6 (9) ◽  
pp. 100
Author(s):  
Harika Devi Kotha ◽  
V Mnssvkr Gupta
Keyword(s):  
College Choice ◽  
Data Visualization ◽  
Business Intelligence ◽  
Visualization Tool ◽  
Data Discovery ◽  
Efficient Manner ◽  
Factors Affecting ◽  
The People ◽  
Using Data

Business depends on Data. Now a days we are dealing with large amounts of data, like petabytes. IT teams receive continuous requests from the users in the issues related to handling data. so the key objective now is, how we are going to handle data in an efficient manner , and how to represent that data in an understandable format. One of the available solution is using data visualization- an art of presenting the data in a manner that even a non-analyst can understand[1] . The most popular tools for visualizations / data discovery are Qlikview and Tableau. In this paper we are going to focus on One of the fastest evolving Business Intelligence (BI) and data visualization tool is Tableau . In short, Tableau - helps the people see and understand their data. In this paper we are going to introduce about Tableau and represent an organizational data by using this Tableau , Then we will focus on creating views and analysis of data.

Using Business Intelligence for Operational Decision-Making in Call Centers

2012 ◽  
Vol 4 (1) ◽  
pp. 43-54
Author(s):  
Eric Kyper ◽  
Michael Douglas ◽  
Roger Blake
Keyword(s):  
Business Intelligence ◽  
Call Center ◽  
Call Centers ◽  
Insurance Company ◽  
Service Levels ◽  
Factors Affecting ◽  
Intelligence System ◽  
Operational Decision Making ◽  
Using Data ◽  
Window Approach

This paper proposes an operational business intelligence system for call centers. Using data collected from a large U.S. insurance company, the authors demonstrate a decision tree based solution to help the company achieve excellence through improved service levels. The initial results from this study provide insight into the factors affecting this firm’s call center service levels, and the solution developed in this paper provides two distinct advantages to managers. First, it enables them to identify key factors and the role they play in determining service levels. Second, a sliding window approach is proposed which allows managers to see the effects of resource reallocation on service levels on an on-going basis.

scholarly journals Employee Attrition Dashboard Using Tableau

2021 ◽  
Vol 9 (9) ◽  
pp. 1696-1703
Author(s):  
Kovuri Sanjana
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Employee Turnover ◽  
Crucial Role ◽  
Attrition Rate ◽  
Visualization Tool ◽  
Job Roles ◽  
Effective System ◽  
Employee Attrition ◽  
Attrition Analysis

Abstract: Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data in a very easily understandable format. It also allows non-technical users to create customized dashboards. The purpose of this paper is to visualize and analyse the employee attrition rate using the Tableau visualization tool by considering various important factors that play crucial role in affecting the attrition rate. In order to visualize and predict the attrition rate of employees of an organization, we proposed an intelligent, flexible and effective system that helps the managers to identify the valuable employee and try to retain them. The attrition rate can be analysed based on various factors such as job roles, years since last promotion, gender and number of companies worked. Keywords: Employee Attrition, Tableau, Attrition Analysis, Visualization, Employee Turnover, Dashboards

scholarly journals A business case for a data-driven decision-making tool to support the UNBC research enterprise.

2020 ◽  
Author(s):  
◽  
Mark Barnes
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Business Intelligence ◽  
Resource Planning ◽  
Business Case ◽  
Data Driven ◽  
Visualization Tool ◽  
Data Driven Decision Making ◽  
Business Decisions ◽  
Design Document

Business intelligence tools allows for data-driven decision-making within organizations using historical events to predict future trends, which is especially valuable when allocating operational resources. As a research-intensive Canadian university, UNBC has seen a significant increase in activities related to supporting the research enterprise, which requires additional resources (human, capital, financial etc.) in order to effectively and efficiently advance the mission of the research community. As outlined in our Annual University Accountability Report, 2018/19 was an incredibly productive year for research with more than $14 million received in support of research. The University has seen a significant increase in the number and breadth of agencies and organizations funding research at UNBC. The administration of research awards involves both pre-award and post-award processes, which requires responsible allocation of available resources to ensure a sustainable model will be developed to achieve goals outlined by the institution’s strategic priorities and build the foundation to reach our goal of a research enterprise generating $25M in annual research revenue. Therefore, using business intelligence tools to utilize historical data to predict the necessary resourcing needs of the institution will allow UNBC to make strategic investments in research and remain competitive on the provincial, national and international stage. Informed decision-making when investing resources are critical to the success of any business. The goal of my MBA project is to gather critical information to be used in the development a data visualization and forecasting tool that will allow for informed decisions for the allocation of resources necessary to support the research mission at UNBC. The objectives of the MBA project are two-fold, which include the development of the business case for the UNBC data visualization tool (DVT) and also the completion of a design document. The information gathered6 from this project will be used in the future (post-MBA) to develop a data visualization tool that will allow for the on-going monitoring of UNBC’s progress towards putting in place the appropriate resources to reach $25M in annual research revenue. Specifically, the MBA project will consist of completing a comprehensive business case outlining the “business need” and potential solutions. Secondly, the MBA project will consist of developing a “design document” for an eventual tool that will be used to visualize research funding and labor information to inform business decisions for resource planning for the UNBC research enterprise. This design support system will be used by senior leadership within UNBC to effectively and efficiently make decisions to allocate resources.

scholarly journals Data visualization: foundations, techniques, and applications

2021 ◽  
pp. 27-34
Author(s):  
Hans-Christian Hege
Keyword(s):  
Data Visualization ◽  
Visual Analytics ◽  
Tool Design ◽  
Digital Transformation ◽  
Data Driven ◽  
Visualization Tool ◽  
Using Data

The idea that there is no precedence for the amount of data that is being generated today, and that the need to explore and analyze this vast volumes of data has become anincreasingly difficult task that could benefit from using Data visualization is presented. It is pointed that the goals of data visualization are data-driven and depend largely on the type of application, but the final objective is to convey to people information that is hidden in large volumes of data. Finally, the visualization pipeline is presented to review aspects of visualization methodology and visualization tool design, to conclude that the true potential of visualization emerge from the interaction of the user with the visualization model. The paper concludes establishing that the current processes of digital transformation will increase the need for visual analytics tools.

MODEL UNTUK MENILAI KESIAPAN PEMDA “DKI JAKARTA” DALAM PENGEMBANGAN WILAYAH BERBASIS DUNIA USAHA

2012 ◽  
Vol 11 (1) ◽  
Author(s):  
Puguh Suharso
Keyword(s):  
Data Gathering ◽  
Business Environment ◽  
Standard Of Living ◽  
Achievement Level ◽  
Global Competitiveness ◽  
The People ◽  
Frame Work ◽  
Using Data ◽  
Level Of Effort ◽  
Research Analysis

Globalisation era is surely passed on and to lead the people of the world into social interactive one another and also economical competitiveness. How far is DKI Jakarta Government preparing to be up against the global competitiveness in the frame-work to manifest improving the standard of living like advanced of society. There are some of indicators to be used as well as criterion to measure an achievement level of effort to be advanced of society, i.e infrastructure which needed by entrepreneur like : permission, taxation, laboract, traffic road, customs and harbor, publics infrastructure servicing, landuse, security condition, business financial access, and business environment condition. It was the research analysis be done by using data gathering from entrepreneur opinion at the operational area. The aim of research analysis is to measure how level of each indicator value has DKI Jakarta Government prepared to be up against the global competitiveness ? The research conclusion says that : DKI Jakarta Government has well enough prepared to be up against the global competitiveness. The weakness indicator is just taxation because its category included in bad (goodless) while the other indicators are well enough. The measuring parameters due to weakness taxationare time necessity for servicing to arrange tax, amount and various of region retribution, amount and various of region tax, and clarity of tax arrangement prucedure.

PARTICIPATING IN HEALTH INSURANCE AND FACTORS AFFECTING AMONG PERSONS WHOSE ENROLMENT IS VOLUNTARY IN THUA THIEN HUE PROVINCE

2015 ◽  
pp. 89-95
Author(s):  
Thi Hoai Thuong Nguyen ◽  
Hoang Lan Nguyen ◽  
Mau Duyen Nguyen
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Health Insurance Scheme ◽  
Insurance Scheme ◽  
Cross Sectional ◽  
Factors Affecting ◽  
The People ◽  
Universal Health Insurance Coverage ◽  
The Social

Background:To provide information helps building policy that meets the practical situation and needs of the people with the aim at achieving the goal of universal health insurance coverage, we conducted this study with two objectives (1) To determine the rate of participating health insurance among persons whose enrolment is voluntary in some districts of ThuaThien Hue province; (2) To investigate factor affecting their participation in health insurance. Materials and Methodology:A cross-sectional descriptive study was conducted in three districts / towns / city of ThuaThien Hue in 2014. 480 subjects in the voluntary participation group who were randomly selected from the study settings were directly interviewed to collect information on the social, economic, health insurance participation and knowledge of health insurance. Test χ2 was used to identify factors related to the participation in health insurance of the study subjects. Results:42.5% of respondents were covered by health insurance scheme. Factors related to their participation were the resident location (p = 0.042); gender (p = 0.004), age (p <0.001), chronic disease (p <0.001), economic conditions (p<0.001) and knowledge about health insurance (p <0.001). Conclusion: The rate of participating health insurance among study subjects was low at 42,5%. There was "adverse selection" in health insurance scheme among voluntary participating persons. Providing knowledge about health insurance should be one of solutions to improve effectively these problems. Key words: Health insurance, voluntary, Thua Thien Hue

THE PROFILE OF A LEADER AND HIS LEDERSHIP

2018 ◽  
Vol 28 (1) ◽  
pp. 345-350
Author(s):  
Ali Hajro
Keyword(s):  
Leadership Skills ◽  
Real Power ◽  
Governmental Organization ◽  
Factors Affecting ◽  
The Real ◽  
The Core ◽  
Behavior Code ◽  
The People ◽  
Study Case ◽  
Personal Skills

The Current and future leaders live in a turbulent and chaotic environment, where the real power of acting derives from the recognition of the concept of change and looking for options. In this type of environment a lot of competence is necessary for the leaders to survive. The aim of this study case was to explore i.e. gain a clearer picture of the position of the leader, their characteristics, functions, levels, the core and the factors affecting the leader and their leadership. To see what type of leader the people want simply to draw conclusions about the characteristics, qualities and techniques of a leader and their leadership. So that in the end, to have empirical proof of the leader. The set goal in this study case is today’s leaders in everyday process, starting from the very beginning of their work, to serve as an example in developing inter-personal skills at the same time as treating people with dignity and respect. In other words, they have to possess leadership skills, characteristics and the necessary actions. This research aims at finding out the real attributes that is the profile of a leader and their leadership running an organization regardless if it is economic, political, and military or some other non-governmental organization. The values are more than a set of rules, they are not only behavior code, and they say what a leader should be every day in every action that they take. The values shade the leaders’ identity and the organization that they run.

scholarly journals Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402198925
Author(s):  
Isidoro Guzmán-Raja ◽  
Manuela Guzmán-Raja
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Sport Performance ◽  
Data Envelopment ◽  
Professional Football ◽  
Efficiency Measure ◽  
Factors Affecting ◽  
Football Clubs ◽  
Main Factors ◽  
Using Data

Professional football clubs have a special characteristic not shared by other types of companies: their sport performance (on the field) is important, in addition to their financial performance (off the field). The aim of this paper is to calculate an efficiency measure using a model that combines performance (sport and economic) based on data envelopment analysis (DEA). The main factors affecting teams’ efficiency levels are investigated using cluster analysis. For a sample of Spanish football clubs, the findings indicate that clubs achieved a relatively high efficiency level for the period studied, and that the oldest teams with the most assets had the highest efficiency scores. These results could help club managers to improve the performance of their teams.

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