The Contribution of Obeya for Business Intelligence

Author(s):  
Gonçalo Sousa ◽  
José Carlos Sá ◽  
Gilberto Santos ◽  
Francisco J. G. Silva ◽  
Luís Pinto Ferreira

The main objective of the study is to minimize interdepartmental communication, potentiation of fast and efficient decision making, and computerization of data. Using software such as MS Excel® and MS Power BI®, a Power BI® tool was conceived to be capable of incorporating, for the entire company, the dashboards that collect the main KPIs of each department. After the tool was implemented, the company's paradigm shift was noticeable. Quickly, the weekly meeting of the planning team began to take place using the MS Power BI® dashboard. In this way, processes were automated and the important data for the normal functioning of the company became accessible to all departments, thus minimizing interdepartmental communication. The chapter shows an Obeya Digital that was implemented in a company in which all the performance indicators of each department are incorporated. In this way, information becomes accessible to all employees and manual data update processes are minimized.

Author(s):  
Josenildo Almeida ◽  
Manoel Joaquim Barros ◽  
Sérgio Maravilhas-Lopes

One of the biggest challenges for managers today is decision making. The adoption of technological solutions to obtain information more easily and intuitively is increasing, so decisions are taken with greater coherence. In this aspect, Business Intelligence (BI) appears as a tool that extracts, transforms, and enables data to be crossed to assist managers in making decisions. This chapter proposes a BI maturity assessment model to assess the level of this phenomenon in the management of the Information Technology (IT) area to verify the main reasons why the IT managers of a company from the private sector in the city of Salvador, Bahia, Brazil, do not use BI tools in their management practices whereas their clients implemented such processes in the last two years. As a result, the level of maturity reached was 01, denominated empirical management or without maturity.


Author(s):  
George Gantzias

Artificial intelligence and robots together with fake news have challenged irrevocably not only the traditional business organizations and representative democracy but also the role of regulatory mechanisms in digital capitalism. In 2020, companies will need to develop a new culture (i.e., the business intelligence culture[BIC]) in order to understand that human resources, currently one of the lowest rungs in a company ladder, will be elevated to the same position as research and development. This chapter examines and analyses artificial intelligence, robots, and human decision-making process together with the role of automatic decision-making algorithms in business systems. It considers critical questions regarding global regulation, ethical standards, public interest, and democracy. It examines the need for regulation in digital capitalism. Finally, it outlines the models business intelligence culture (BIC) and collective will democracy (CWD) as methodological tools to analyze humans and robots' governance in the digital era.


2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani

This study aims to determine the stages that must be implemented in building a Business Intelligence System structured and appropriate in building Business Intelligence Systems in an organization, and understand the important aspects that must be considered for investment development Business Intelligence System is increasing. Business must be based on the conditions and needs of the organization in achieving the desired goals. If these conditions occur, then the decision-making process will be better and more accurate. The purpose of this study is to determine the important aspects that must be understood and prepared in using the Business Intelligence System in an organization. The method used is the explanation as well as the research library of several books, articles and other literature.


2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Iwan Kurniawan Subagja, SE., MM. ◽  
Slamet Istoto

Decision making is an individual activity that is directly involved in obtaining and using the goods offered. Promotion is one of the variables in a marketing mix that is very important to be implemented by a company in marketing its products or services, thus influencing consumers to make purchasing decisions. The quality of the product can also affect consumers in making purchasing decisions. This study aims to analyze the effect of product quality and promotion on purchasing decision of Melon fruit. Population and sample of research is purchasing or buyer from consumer of PT. Syafina Niaga as many as 30 companies and sampling methods using saturated sampling techniques as well as analysis used with regression analysis. The results showed that there is a significant influence between product quality and promotion of purchasing decisions.


2018 ◽  
Vol 23 (1) ◽  
pp. 72-85
Author(s):  
Lasminisih ◽  
Emmy Indrayani

Company financial statement can be used to monitor the performance of a company. Financial statements are also used as a means for decision making so that the company can anticipate future plans. The purpose of this study was to find out the effect of Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR) and Return on Assets (ROA) on profit changes percentage of Banking Companies. The number of sample companies used in this study was 27 Banks listed in the Indonesia Stock Exchange with observation periods from 2007 to 2008. The method used in this study was multiple regression. The results of this study have indicated that CAR, LDR, and ROA gave significant effects on changes in Banks profit so that Banking Companies performances can be measured. Keywords: CAR, LDR, ROA, Profit


Author(s):  
Vivek N. Bhatt

The article focuses on the study of prevailing decision making styles of Small Scale Industrial (SSI) Units. It presents data collected from 200 SSI units from Bhavnagar – a coastal city of Gujarat, India. The objective of writing the article is to depict heuristic decision patterns of small and medium enterprises, and the rare use of analytical or statistical business intelligence tools in decision making processes. It would be interesting to study the design of decision taken on routine basis in small units, poorly equipped with technology and technical know-how. The paper is descriptive in terms, and lays a lucid picture of present decision making processes.


Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1271
Author(s):  
Humberto. J. Prado-Galiñanes ◽  
Rosario Domingo

Industries are nowadays not only expected to produce goods and provide services, but also to do this sustainably. What qualifies a company as sustainable implies that its activities must be defined according to the social and ecological responsibilities that are meant to protect the society and the environment in which they operate. From now on, it will be necessary to consider and measure the impact of industrial activities on the environment, and to do so, one key parameter is the carbon footprint. This paper demonstrates the utility of the LCI as a tool for immediate application in industries. Its application shall facilitate decision making in industries while choosing amongst different scenarios to industrialize a certain product with the lowest environmental impact possible. To achieve this, the carbon footprint of a given product was calculated by applying the LCI method to several scenarios that differed from each other only in the supply-chain model. As a result of this LCI calculation, the impact of the globalization of a good’s production was quantified not only financially, but also environmentally. Finally, it was concluded that the LCI/LCA methodology can be considered as a fundamental factor in the new decision-making strategy that sustainable companies must implement while deciding on the business and industrial plan for their new products and services.


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