scholarly journals ANALISYS OF MANAGEMENT INFORMATION SYSTEMS FOR TRADE ENTERPRISES

2021 ◽  
pp. 50-54
Author(s):  
Олександр Білоцерківський ◽  
Катерина Кочіна
Keyword(s):  
Information Systems ◽  
Comparative Analysis ◽  
Expert Opinion ◽  
Management Information Systems ◽  
Practical Importance ◽  
Customer Relationship ◽  
Information Support ◽  
Enterprise Management ◽  
Management Information ◽  
Expert Opinions

The analysis of management information systems for trade enterprises in Ukraine is considered. The process of a trade enterprise management determines the need to use information systems and technologies. However, the level of information support for Ukrainian trade enterprises remains very low because only 6 % of them actively used systems for customer relationship management. Therefore, the analysis and reasonable selecting of management information systems for trade enterprises is relevant and has practical importance. Analysis of the problem showed that researchers used two ways. The first one is to develop the own information systems. The second one is to use existing systems. The purpose of the article is a comparative analysis of management information systems for trade enterprises and their selection based on rating evaluation. Based on the method of analogy, a methodology for rating evaluation of information systems has been proposed. To check the consistency of expert opinion on the rating of information systems, an expert method was used. Kendall coefficient of concordance has been calculated. A comparative analysis of four information systems such as Bitrix24, Bpm'online, AmoCRM, Megaplan was carried out. Based on the survey, they were selected by fifteen signs. It is determined that the information systems such as bpm online and Bitrix24 have the highest ratings. There have been considered their functionality. Similar results were obtained for six information systems including Megaplan, bpm'online sales, Bitrix24, Amo CRM, 1C and Mango. The consistency degree of expert opinions on the rating of four information systems such as bpm'online sales, Bitrix24, AmoCRM and Megaplan is determined by the expert method. The value of Kendall concordance coefficient of 0.86 indicates a strong consistency of expert opinion, which confirms the preliminary calculations. So, information systems are arranged in the following order: bpm online ranks first, Bitrix24 ranks second, AmoCRM ranks third and Megaplan comes fourth. Thus, according to the results of the rating, the solution of the company Terrasoft «Bpm'online» is the most suitable for satisfying our needs.

scholarly journals Solution of integration tasks in enterprise management information systems

2016 ◽  
Vol 2016 (1) ◽  
pp. 37-44
Author(s):  
Valerij Vahrushev ◽  
Elena Bogomolova ◽  
Anna Lanskih ◽  
Yurij Lanskih ◽  
Andrej Luppov ◽  
...  
Keyword(s):  
Information Systems ◽  
Management Information Systems ◽  
Enterprise Management ◽  
Management Information

Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector

2018 ◽  
Vol 68 ◽  
pp. 187-197 ◽  
Author(s):  
Pilar Talón-Ballestero ◽  
Lydia González-Serrano ◽  
Cristina Soguero-Ruiz ◽  
Sergio Muñoz-Romero ◽  
José Luis Rojo-Álvarez
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Customer Relationship Management ◽  
Management Information Systems ◽  
Relationship Management ◽  
Customer Relationship ◽  
Management Information ◽  
Hotel Sector

Data Warehousing Development and Design Methodologies

2011 ◽  
pp. 424-430 ◽  
Author(s):  
James Yao ◽  
John Wang
Keyword(s):  
Information Systems ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Management Information Systems ◽  
Systems Design ◽  
Management Science ◽  
Customer Segmentation ◽  
Customer Relationship ◽  
Management Information ◽  
Design Methodologies

Information systems were developed in early 1960s to process orders, billings, inventory controls, payrolls, and accounts payables. Soon information systems research began. Harry Stern started the “Information Systems in Management Science” column in Management Science journal to provide a forum for discussion beyond just research papers (Banker & Kauffman, 2004). Ackoff (1967) led the earliest research on management information systems for decision-making purposes and published it in Management Science. Gorry and Scott Morton (1971) first used the term ‘decision support systems’ (DSS) in a paper and constructed a framework for improving management information systems. The topics on information systems and DSS research diversifies. One of the major topics has been on how to get systems design right. As an active component of DSS, which is part of today’s business intelligence systems, data warehousing became one of the most important developments in the information systems field during the mid-to-late 1990s. Since business environment has become more global, competitive, complex, and volatile, customer relationship management (CRM) and e-commerce initiatives are creating requirements for large, integrated data repositories and advanced analytical capabilities. By using a data warehouse, companies can make decisions about customer-specific strategies such as customer profiling, customer segmentation, and crossselling analysis (Cunningham et al., 2006). Thus how to design and develop a data warehouse have become important issues for information systems designers and developers. This paper presents some of the currently discussed development and design methodologies in data warehousing, such as the multidimensional model vs. relational ER model, CIF vs. multidimensional methodologies, data-driven vs. metric-driven approaches, top-down vs. bottom-up design approaches, data partitioning and parallel processing.

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