Making Data Reports Useful: From Descriptive to Predictive

Alfred, C

doi:10.7759/cureus.10920

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…This study demonstrated the importance of zeolite incorporation to halt heterotrophic respiration (Rh) in tropical peat in the form of its rate and incubation time, supported by coupling descriptive statistical analyses (LME-REML and PCA; Figure 1) and advanced predictive-based pedotransfer modelling (Figure 7) approaches. By tailoring this combination approach, soil science and agricultural researchers are able to extract valuable information and gain understanding from various perspectives, as also pronounced by other researchers from diverse disciplines, such as material science (Bock et al, 2019), engineering (Patrick et al, 2019), as well as health and medical science (Basu et al, 2020;Ma, 2020). This study presents an initial stepping stone from the traditional approach into the multidimensional realm of analytics in soil science and agricultural studies.…”

Section: Discussionmentioning

confidence: 99%

Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches

Pulunggono

Hanifah²,

Nadalia³

et al. 2022

J.Degrade.Min.Land Manage.

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Nowadays, halting greenhouse gasses (GHG) emission is the world's major concern to mitigate global climate change. In oil palm cultivated tropical peatland, GHG emission is primarily constituted of CO2 flux emitted from aerobic heterotrophic respiration (Rh), the natural degradation process of organic material in an oxidative environment. By coupling descriptive and predictive statistical approaches, this study attempt to gain an in-depth understanding of the effects of zeolite rates and incubation time on CO2 emission that came from aerobic Rh in peat, as well as their decomposition process. This study found that zeolite amelioration up to 30% of the peat at field capacity and starting from the first month of observation (month-1) significantly restricted peat Rh, denoted by a reduced amount of observed CO2 flux (0.021 and 0.019-0.012 mg m-2 sec-1, respectively). Both factors and several soil variables exhibited some non-linear relationships with Rh at different magnitudes and importance, showing the limitation of the traditional linear-based approach to interpreting their complex interrelationships, as well as predicting CO2 flux. This study highlights the vital role of a polynomial (GAM) and artificial intelligence (Cubist and GBM) -based pedotransfer models in improving our understanding regarding the dynamic of the peat decomposition process as affected by zeolite amendment.

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Section: Discussionmentioning

confidence: 99%

Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches

Pulunggono

Hanifah²,

Nadalia³

et al. 2022

J.Degrade.Min.Land Manage.

View full text Add to dashboard Cite

show abstract

“…Important factors include data patterns, types of analysis, and attributes underlying predictions. Data affected by unexpected variables, such as the evening occupancy report for this study, will result in inaccurate predictions [7]. Data summarization and aggregation, data mining methods, descriptive statistics, and data visualization are examples of descriptive analysis activities.…”

Section: Fig 1 -Common Threads Of Descriptive Predictive and Prescrip...mentioning

confidence: 99%

“…In response to the Industrial Revolution, descriptive analysis, predictive analysis, and prescriptive analytics have become the focus of the current curriculum. 4.0 [7]. However, research interest in prescriptive analytics, which attempts to determine the optimal course of action for the future, has increased.…”

mentioning

confidence: 99%

Analysis of The Best Strategy for Great Education Policy Using Prescriptive Analytics (Indonesian School Experience)

Marjuni¹,

Ulwani²

2022

JSTARD

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This paper discusses an analytical prescriptive approach to analyzing education policy. This study uses an appropriate literature review method so that the results of the study are in the form of an overview based on a critical analysis of the subject matter of the benefits of prescriptive analytics in the field of Islamic education management. The main issues discussed in this study include a prescriptive analytics approach as an educational policy analysis approach, a prescriptive approach model in education policy analysis, and the advantages and disadvantages of a prescriptive approach in education policy analysis. This study finds that a project manager must undertake prescriptive analytics today and in the Industry 4.0 era. However, managers have a weakness in skills in this area because the future of data analysis is prescriptive, despite the impact of the obligation to change management. Research advises educationmanagers to realize that prescriptive analytics is not always correct. Prescriptive analytics products can only be applied to one educational institution. However, the domino effect of prescriptive analytics has many benefits for educational institutions,both tangible and intangible.

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The faster the better? Comparing sustainability performance information in fast and luxury fashion

Tickle,

Hannibal,

Zapparoli

2024

IJPPM

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PurposeFashion brands, including fast and luxury segments, receive harsh criticism for engaging in unethical practices such as poor working conditions and environmental damage. As a result, fashion supply chains are pressured by stakeholders to publicly disclose internal supply chain performance information and to show a high level of supply chain transparency. This paper compares supply chain transparency in fast and luxury fashion in Europe.Design/methodology/approachBy applying the maturity curve of fashion supply chain transparency, developed by Muratore and Marques (2022), the websites of 20 fast and 20 luxury fashion brands were analysed and classified as Opaque, Translucent or Transparent.FindingsDespite its reputation, fast fashion demonstrated higher levels of transparency than luxury fashion. Luxury fashion only performed better in terms of the accessibility of sustainability information. Luxury brands avoided disclosing key transparency information, suggesting that they may be operating in contradiction to that which is inferred on their websites.Originality/valueThe findings of the study shed light on the sustainability credentials of the fashion industry, which has the potential to influence the purchase intentions of consumers, particularly millennials and Generation Z. Implications for practice are developed to highlight how fashion can improve its supply chain transparency.

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Making Data Reports Useful: From Descriptive to Predictive

Cited by 3 publications

References 5 publications

Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches

Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches

Analysis of The Best Strategy for Great Education Policy Using Prescriptive Analytics (Indonesian School Experience)

The faster the better? Comparing sustainability performance information in fast and luxury fashion

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