The Data Swarm

2016 ◽  
Vol 6 (1) ◽  
pp. 52-64
Author(s):  
Jeffrey Smith ◽  
Manjeet Rege
Keyword(s):  
Swarm Intelligence ◽  
Data Warehouse ◽  
Data Availability ◽  
Retail Stores ◽  
A Chain ◽  
Data Analytic ◽  
Logical Data ◽  
Distributed Analytics

The traditional data warehouse model is no longer able to keep up with the evolution and changing requirements of the data analytic world. As we see the concept of a logical data warehouse gain momentum, there's a resulting need to drive a portion of the analytics closer to where the data is actually created and used. This paper uses the concept of swarm intelligence as a basis for simple, distributed analytics architecture to help address this need. It illustrates this with an example based on a chain of retail stores and demonstrates how this model could simplify the architecture and, at the same time, and increase data availability while decreasing cost.

Teaching Data Analytics Skills in Auditing Classes Using Tableau

2018 ◽  
Vol 15 (2) ◽  
pp. 137-150 ◽  
Author(s):  
Thomas R. Weirich ◽  
Norbert Tschakert ◽  
Stephen Kozlowski
Keyword(s):  
Data Visualization ◽  
Data Analytics ◽  
Data File ◽  
Student Feedback ◽  
Data Availability ◽  
Audit Planning ◽  
Visualization Software ◽  
Hands On ◽  
Data Visualizations ◽  
Data Analytic

ABSTRACT We present a case for teaching data analytics skills in auditing classes using the data visualization software Tableau. We use the Tableau-embedded data file “US Superstore,” which we edited to include cash receipts and discounts to provide a complete order to cash cycle. Students learn how to create data visualizations and dashboards, and how to apply them to audit-planning considerations. Students then perform substantive testing of the revenue (order to cash) cycle and identify issues in the data that relate to revenue. We propose that this case material can be tailored by instructors to fit their particular needs and course curriculum. This case provides students with hands-on exposure to data analytic and visualization capabilities. Student feedback was very favorable and student comments indicated that the case was practical, realistic, and informative, and provided them a better understanding of data visualization. Data Availability: For data availability, please contact the corresponding author.

scholarly journals A Knowledge-Based Hybrid Approach on Particle Swarm Optimization Using Hidden Markov Models

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1417
Author(s):  
Mauricio Castillo ◽  
Ricardo Soto ◽  
Broderick Crawford ◽  
Carlos Castro ◽  
Rodrigo Olivares
Keyword(s):  
Swarm Intelligence ◽  
Markov Models ◽  
Optimization Problems ◽  
Hidden Markov ◽  
Hybrid Approach ◽  
Knowledge Based ◽  
Long Time ◽  
Classification Prediction ◽  
A Chain ◽  
Online Methods

Bio-inspired computing is an engaging area of artificial intelligence which studies how natural phenomena provide a rich source of inspiration in the design of smart procedures able to become powerful algorithms. Many of these procedures have been successfully used in classification, prediction, and optimization problems. Swarm intelligence methods are a kind of bio-inspired algorithm that have been shown to be impressive optimization solvers for a long time. However, for these algorithms to reach their maximum performance, the proper setting of the initial parameters by an expert user is required. This task is extremely comprehensive and it must be done in a previous phase of the search process. Different online methods have been developed to support swarm intelligence techniques, however, this issue remains an open challenge. In this paper, we propose a hybrid approach that allows adjusting the parameters based on a state deducted by the swarm intelligence algorithm. The state deduction is determined by the classification of a chain of observations using the hidden Markov model. The results show that our proposal exhibits good performance compared to the original version.

Logical Data Warehouse Design

2014 ◽  
pp. 121-178
Author(s):  
Alejandro Vaisman ◽  
Esteban Zimányi
Keyword(s):  
Data Warehouse ◽  
Warehouse Design ◽  
Logical Data

Breastmilk Substitutes Marketing Violations and Associated Factors in Rio de Janeiro, Brazil

2020 ◽  
pp. 089033442097840
Author(s):  
Maria Inês Couto de Oliveira ◽  
Cristiano Siqueira Boccolini ◽  
Enilce de Oliveira Fonseca Sally
Keyword(s):  
Rio De Janeiro ◽  
Cross Sectional Study ◽  
World Health ◽  
Retail Stores ◽  
Department Stores ◽  
Chain Store ◽  
Cross Sectional ◽  
Factors Associated ◽  
A Chain ◽  
Health Organization

Background Aiming to protect breastfeeding, the World Health Organization released the International Code of Marketing of Breastmilk Substitutes in 1981, which was adopted by the vast majority of the 118 member countries, including Brazil. The Brazilian Code regulates the marketing of infant formulas, baby bottles, teats, pacifiers, milk, and processed complementary food. Research aims (1) To determine if retail stores had violated the Brazilian Code and (2) to analyze factors associated with these violations. Methods This cross-sectional study included all drugstores, supermarkets, and department stores in the Southern Zone of Rio de Janeiro City, Brazil. Trained health professionals observed retail stores for marketed products and violations of the Brazilian Code and then interviewed their managers. Factors associated with the retail stores violating the Brazilian Code (outcome) were analyzed, employing a logistic regression model with 95% Confidence Interval. Results Of the retail stores ( N = 349) evaluated, 62.8% violated the Brazilian Code, ranging from 1 to 37 violations per retail store. The most common promotion strategies were price discounts and special displays. Retail stores being part of a chain store (aOR = 4.59) and their manager receiving visits from industry business representatives (aOR = 2.14) were associated with the presence of violations. Conclusions The prevalence of Brazilian Code violations was high, especially in chain stores. The association between regular visits by industry representatives and violations suggests an indirect influence of manufacturers on the promotion of human milk substitutes. We recommend strengthening compliance with the Brazilian Code through calling on governmental surveillance agencies and civil society mobilization.

scholarly journals Intelligent Vehicle Scheduling and Routing for a Chain of Retail Stores: A Case Study of Dhaka, Bangladesh

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 63
Author(s):  
M. Azizur Rahman ◽  
Al-Amin Hossain ◽  
Binoy Debnath ◽  
Zinnat Mahmud Zefat ◽  
Mohammad Sarwar Morshed ◽  
...  
Keyword(s):  
Vehicle Routing ◽  
Vital Role ◽  
Intelligent Vehicle ◽  
Retail Stores ◽  
Dhaka City ◽  
Dijkstra Algorithm ◽  
Customer Demand ◽  
Real Time Traffic ◽  
A Chain

Background: Retail chains aim to maintain a competitive advantage by ensuring product availability and fulfilling customer demand on-time. However, inefficient scheduling and vehicle routing from the distribution center may cause delivery delays and, thus, stock-outs on the store shelves. Therefore, optimization of vehicle routing can play a vital role in fulfilling customer demand. Methods: In this research, a case study is formulated for a chain of retail stores in Dhaka City, Bangladesh. Orders from various stores are combined, grouped, and scheduled for Region-1 and Region-2 of Dhaka City. The ‘vehicle routing add-on’ feature of Google Sheets is used for scheduling and navigation. An android application, Intelligent Route Optimizer, is developed using the shortest path first algorithm based on the Dijkstra algorithm. The vehicle navigation scheme is programmed to change the direction according to the shortest possible path in the google map generated by the intelligent routing optimizer. Results: With the application, the improvement of optimization results is evident from the reductions of traveled distance (8.1% and 12.2%) and time (20.2% and 15.0%) in Region-1 and Region-2, respectively. Conclusions: A smartphone-based application is developed to improve the distribution plan. It can be utilized for an intelligent vehicle routing system to respond to real-time traffic; hence, the overall replenishment process will be improved.

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