A Case Study in Managing the Analytics “Iceberg”: Data Cleaning and Management using Alteryx

Author(s):  
Ann O’Brien ◽  
Dan Stone

This case introduces accounting students to data management using a “no code” approach. Many tools can be used for extract, transform, load (ETL) processes. Herein, we introduce ETL using Alteryx Designer, a market-leading tool for managing and manipulating data. In the case, students learn basic data cleaning and joining skills, explore key data management concepts including workflows and metadata, and learn how to create and document workflows in Alteryx. Undergraduate or graduate accounting students with basic database knowledge (e.g., in an introduction to accounting systems class) and data processing will benefit from the case. Evidence from use suggests that the case is relevant, challenging, and useful for the goal of teaching introductory and intermediate-level ETL skills, using Alteryx. The case is easy to implement and an important resource for teaching data management and Alteryx Designer.

2020 ◽  
Vol 17 (1) ◽  
pp. 21-31
Author(s):  
Ann D. O'Brien ◽  
Dan N. Stone

ABSTRACT This case introduces students to visualizing accounting data in Tableau. In it, students import data, conduct basic data cleaning, answer client queries, and create visualizations, including dashboards and storyboards. From the case, students learn basic data cleaning and visualization skills. In its final phase, they also learn critical thinking skills from analyzing a business case and creating a dashboard and storyboard to support business decision making. They experience first-hand the exciting processes of understanding, performing, and communicating professional data analytics work. Undergraduate or graduate accounting students who have completed an introductory accounting class will benefit from the case. Evidence from applications suggests that the case is relevant, interesting, and useful for the goal of teaching introductory data visualization skills, using Tableau, to accounting students. The case is easy to implement, authentic, engaging, and a timely instructional resource for accounting instructors and students.


Author(s):  
Ann O'Brien ◽  
Dan Stone

This case introduces students to visualizing accounting data in Tableau. In it, students import data, conduct basic data cleaning, answer client queries, and create visualizations, including dashboards and storyboards. From the case, students learn basic data cleaning and visualization skills. In its final phase, they also learn critical thinking skills from analyzing a business case and creating a dashboard and storyboard to support business decision making. They experience first-hand the exciting processes of understanding, performing, and communicating professional data analytics work. Undergraduate or graduate accounting students who have completed an introductory accounting class will benefit from the case. Evidence from applications suggests that the case is relevant, interesting, and useful for the goal of teaching introductory data visualization skill, using Tableau, to accounting students. The case is easy to implement, authentic, engaging, and a timely instructional resource for accounting instructors and students.


2020 ◽  
pp. 25-28
Author(s):  
XU HUILIN ◽  
CHEN HUIHUI ◽  
ZHOU WEI ◽  
FU JIAJIA

Tidal fats resources is an important resource in coastal areas of China, which shows a trend of dynamic growth. Ratonal development and efectve utlizaton of tdal fats resources can alleviate the contradicton between more people and less land in China, and is of great signifcance to the development of coastal economy and the protecton of ecological environment in China. Taking Yancheng Tidal Flats of Coastal Areas as an example, analyzes the present situaton of development and utlizaton and the existng problems at the present stage. Relying on the existng industrial foundaton, this paper puts forward the development and utlizaton model of strengthening the constructon of port-neighboring industry, towns and ecological leisure tourism on the basis of modern agriculture


Author(s):  
E. E. Akimkina

The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.


2012 ◽  
Vol 414 ◽  
pp. 624-631 ◽  
Author(s):  
Shuping Yi ◽  
Haiyi Ma ◽  
Chunmiao Zheng ◽  
Xiaobin Zhu ◽  
Hua'an Wang ◽  
...  

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