Wyniki wyszukiwania - Biblioteka Nauki

1

The concept of diagnostic analytics

100%

Wolniak R. , Grebski W.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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tom z. 175

651--670

EN

Purpose: The goal of the paper is to analyze the main features, benefits and problems with the diagnostic analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The paper discusses the concept of diagnostic analytics, which is a powerful tool for organizations to understand the underlying factors and reasons behind specific outcomes or events. By analyzing historical data and applying statistical techniques, organizations can identify root causes, patterns, and correlations that explain past events. This understanding enables informed decision-making, performance improvement, risk mitigation, enhanced customer insights, process optimization, resource allocation, and continuous improvement. Nevertheless, there are several challenges associated with diagnostic analytics. Firstly, the analysis process can be time-consuming due to the need for thorough examination and interpretation of data. Additionally, real-time insights may be limited as diagnostic analytics primarily focuses on historical data. Issues related to data quality and availability may also arise, impacting the accuracy and reliability of the analysis. Furthermore, diagnostic analytics lacks predictive capabilities, making it more challenging to anticipate future outcomes. The complexity of analysis, data privacy and security concerns, risks of bias and misinterpretation, and difficulties in identifying causal relationships further add to the challenges organizations face. Originality/value: Detailed analysis of all subjects related to the problems connected with the diagnostic analytics.

2

The concept of descriptive analytics

100%

Wolniak R.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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tom z. 172

699--715

EN

Purpose: The goal of the paper is to analyze the main features, benefits and problems with the descriptive analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The paper discusses the concept of descriptive analytics, which involves collecting, cleaning, and summarizing historical data from various sources to provide a clear and concise summary that can aid in decision-making. The paper explains the importance of descriptive analytics as the foundation for other types of data analytics, and highlights the steps involved in its implementation, including data collection, cleaning and preparation, exploration and visualization, analysis, interpretation, and reporting. The paper also mentions the advantages of descriptive analytics, such as identifying trends and patterns, optimizing processes, improving decision-making, and simplifying communication, while cautioning businesses about the potential pitfalls and challenges of this approach, such as limited predictive power, incomplete data, data privacy concerns, biased results, and overreliance on historical data. The paper emphasizes the importance of understanding these issues to ensure that the insights generated are relevant, accurate, and useful. Originality/value: Detailed analysis of all subjects related to the problems connected with the descriptive analytics.

3

Functioning of real-time analytics in business

100%

Wolniak R.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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tom z. 172

659--677

EN

Purpose: The goal of the paper is to analyze the main features, benefits and problems with the real-time analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The paper focus on the advantages and disadvantages of real-time analytics. The ability to process and analyze data in real-time allows organizations to quickly identify trends and patterns, optimize their operations, and allocate resources more efficiently. Additionally, real-time analytics helps businesses identify new revenue opportunities and optimize their pricing strategies, monitor user behavior, detect security threats, and react without delay. However, real-time analytics can be expensive to implement, require technical expertise, and generate false positives. Proper data quality, security measures, and system scaling are also essential for effective implementation. The vague definition of real-time and the requirement to collect detailed requirements from all stakeholders can also present challenges to businesses. Originality/value: Detailed analysis of all subjects related to the problems connected with the real-time analytics.

4

A classification of real time analytics methods. An outlook for the use within the smart factory

80%

Trinks S.

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2018

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tom z. 119

313--329

EN

The creation of value in a factory is transforming. The spread of sensors, embedded systems, and the development of the Internet of Things (IoT) creates a multitude of possibilities relating to upcoming Real Time Analytics (RTA) application. However, already the topic of big data had rendered the use of analytical solutions related to a processing in real time. Now, the introduced methods and concepts can be transferred into the industrial area. This paper deals with the topic of the current state of RTA having the objective to identify applied methods. In addition, the paper also includes a classification of these methods and contains an outlook for the use of them within the area of the smart factory.