scholarly journals Employee Attrition Dashboard Using Tableau

Author(s):  
Kovuri Sanjana

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

Author(s):  
Harika Devi Kotha ◽  
V Mnssvkr Gupta

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.


2020 ◽  
Author(s):  
◽  
Mark Barnes

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.


2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.


Author(s):  
Liangjian Chen ◽  
Siyu Chen ◽  
Shengnan Guo ◽  
Yue Yang ◽  
Jianqiu Xu

2012 ◽  
Vol 29 (2) ◽  
pp. 223-234 ◽  
Author(s):  
Awalin Sopan ◽  
Angela Song-Ie Noh ◽  
Sohit Karol ◽  
Paul Rosenfeld ◽  
Ginnah Lee ◽  
...  

2019 ◽  
Vol Special Issue (Special Issue-FIIIIPM2019) ◽  
pp. 62-67
Author(s):  
Dr. R. S. Kamath ◽  
Dr. S. S. Jamsandekar ◽  
Dr. P. G. Naik ◽  

2021 ◽  
Author(s):  
Samantha Lyneham

Police and prosecutors face a range of challenges while investigating, prosecuting and, ultimately, attempting to secure a conviction for human trafficking and slavery offences in Australia. In this study, investigation and prosecution data were analysed to chart the progression of matters and identify reasons for attrition. Analysis revealed an overall prosecution attrition rate of 73 percent. Attrition was most evident during the initial phases of prosecution, when the decision to lay charges was being considered. However, there was a 60 percent chance of conviction as a result of the defendant either pleading or being found guilty. Defendants were more likely to be convicted for ancillary charges (eg migration offences) than the most serious charges of human trafficking and slavery. The prosecution attrition rate for the most serious charges was 80 percent, compared to 54 percent for lesser charges.


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