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For pharmaceutical distribution companies it is essential to obtain good estimates of medicine needs, due to the short shelf life of many medicines and the need to control stock levels, so as to avoid excessive inventory costs while guaranteeing customer demand satisfaction, and thus decreasing the possibility of loss of customers due to stock outages. In this paper we explore the use of the time...
A Schema-less NoSQL system refers to solutions where users do not declare a database schema and, in fact, its management is moved to the application code. This paper presents a study that allows us to evaluate, to some extent, the data structuring impact. The decision of how to structure data in semi-structured databases has an enormous impact on data size, query performance and readability of the...
A Data Warehouse (DW) is widely used as a consistent and integrated data repository in Business Intelligence systems. Under today's dynamic and competitive business context, warehoused data alone no longer provide enough information for decision-making processes. Business analyses should be enhanced by including Linked Open Data (LOD) to offer multiple perspectives to decision-makers. This paper provides...
In a smart power distribution system a crucial task is to categorize properly the different types of power consumers in order to optimize the transportation grid as well as the rates and contracts between the power suppliers and consumers. By using intelligent meters and analyzing the behavior of consumers relevant information can be obtained, which may be used for capacity distribution or to have...
The data managed in a software system is often controlled to behave dependently. Basically, dependent parts of the data can be controlled through their internal connections. However in a real-world system, dependencies among the data and its required behaviors are generally complex and designing its internal structure and control mechanism to satisfy all requirements becomes challenging. To cope with...
In the past decade, the role of data has increased exponentially from something that is queried or reported on, to becoming a true corporate asset. The same time period has also seen marked growth in corporate structural complexity. This combination has lead to information management challenges, as the data moving across a multitude of systems lends itself to a higher likelihood of impacting dependent...
The electric power distribution is considered as a monopoly public service, in which there cannot be direct competition, so it must be submitted to price and service quality regulation.
Results of applied short-term forecasting for the Slovenian natural gas market are presented. A case study for one of the major Slovenian natural gas distribution companies is considered, with forecasting results in hourly resolution in the forecasting horizon from 1 to 48 hours. The development of a forecasting strategy is presented, which includes daily data acquisition from various sources, development...
The value of data is on the rise since the new technologies are collecting more data than ever before. Use of data is maturing, disconnecting itself from the IT sphere and blending with other technology areas like the Internet of Things (IoT). Consequently data analytics is gradually turning into an important part of many industries in helping with challenges faced by implementation of new technologies...
To stay ahead of open competition, labour-intensive small and medium-sized enterprises, such as Leather, Textile and Garment, resorted to choose the best alternate production system that were popular in other sectors. This paper discusses a simulation as a decision making tool to choose the best alternate production system for leather small and medium-sized enterprises (LSMEs). The simulation models...
This journal introduces the reader the background of Big Data Analytics and how efficiently Agile methodology can be applied to achieve the business goal. The journal focus on giving background of Big Data and how using Agile practices such as iterative, incremental, and evolutionary style of development can be applied for Big Data Analytics. This methodology brings in the advantage of involving business...
In this competitive world, business is becoming highly saturated. Especially, the field of telecommunication faces complex challenges due to a number of vibrant competitive service providers. Therefore, it has become very difficult for them to retain existing customers. Since the cost of acquiring new customers is much higher than the cost of retaining the existing customers, it is the time for the...
To achieve a high logistical performance, adjustments in production structure are inevitable. The impact of structural changes however remains unclear. To investigate the effects of changes concerning production structure on logistical targets, the use of simulation models is possible. In this paper, we propose an approach for dynamically generating simulation models of production structures using...
NoSQL data stores have emerged in last years as a solution to provide scalability and flexibility in data modelling for operational databases. These data stores have proven that they are better suited for some kinds of problems than relational databases. In order to scale, they relaxed the properties provided by relational databases, mainly transactions. However, transactional semantics is still needed...
The Internet has become an essential part of day-today business. Many personal and industrial business use cases assume the availability of perpetual Internet access for fulfillment. The access to the Internet, ironically, is expensive, given various tiered pricing models that Internet Service Providers (ISP) employ. In many developing economies, the availability of the Internet is very sporadic,...
In recent years online social network is used as a marketing platform for advertisement industry for advertising their products or services to the huge volume of people in short period of time. In that Information Diffusion is a type of process in social network for predicting the future interest of people for some specific product or services. For example, a people are interested to buy any new product...
The development needs the internet and cable television entertainment increase per year that affect popping up various multimedia service provider company which is offered a lot of services to win the market. This makes customer has a lot of company choices and makes customer to be more demanded and move easily from a provider to other provider, where company knows that keep customer has the cost...
Data analytics is an emerging domain in information systems literature and an increasing number of companies try to use data analytics to make sense out of their environment. Accordingly, the ability of companies to leverage digital data to explore new business opportunities becomes important to develop competitive advantage in digitalized world. Consequently, extant literature investigates different...
Agile development for big data analytics has become the new normal. However, research questions remain: 1) how should a big data system be designed and developed to effectively support advanced analytics? and 2) how should the agile process be adapted for big data analytics development? This article contributes an Architecture-centric Agile Big data Analytics (AABA) development methodology evolved...
Big Data is an emerging research topic. However, the term remains fuzzy and is seen as an umbrella term. Its origin, composition, possible strategies, and outcomes are unclear. This impedes the positioning of publications addressing business administration issues related to Big Data. The missing theoretical foundation of Big Data has been recognized, as has the need for underlying relationships and...
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