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[HTML][HTML] Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories
Prescriptive analytics plays an important role in decision making in smart factories by
utilizing the available data to gain actionable insights. The planning, integration and …
utilizing the available data to gain actionable insights. The planning, integration and …
Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories
The emerging trend of Prescriptive Analytics tries to prescribe actionable decisions. The
goal is to help production experts in automating their decisions in the factory. Decision …
goal is to help production experts in automating their decisions in the factory. Decision …
[LIBRO][B] Predictive analytics for energy efficiency and energy retailing
K Hopf - 2019 - books.google.com
8.1 Summary of the results 193 8.2 Implications for research and future work 198 8.2. 1
Value creation through predictive analytics 198 8.2. 2 Energy informatics to support energy …
Value creation through predictive analytics 198 8.2. 2 Energy informatics to support energy …
[PDF][PDF] Prioritizing and organizing the modeling of the long tail of business processes
Abstract Design activities such as process modeling always face a trade-off between quality
and quantity. That is, process management initiatives typically focus on modeling and …
and quantity. That is, process management initiatives typically focus on modeling and …
Constructing actionable insights: The missing link between data, artificial intelligence, and organizational decision-making
It goes without saying that the growth in available data across the globe is exploding (eg,
Shirer and Rydning, 2020), resulting in the global data-intensive technologies market valued …
Shirer and Rydning, 2020), resulting in the global data-intensive technologies market valued …
[PDF][PDF] Customer-oriented service innovation grounded in data-driven decision-making: A readiness assessment framework
M Weck, S Kedonperä, M Sihvonen - … International Conference on …, 2023 - researchgate.net
In the current increasingly competitive and technologically advanced market, significant
opportunities to develop service innovations can be realized by utilizing datadriven decision …
opportunities to develop service innovations can be realized by utilizing datadriven decision …
Collaborative rationality and evaluation in data-driven decision-making: from theory to a model and design principles
N Sanad - 2024 - oulurepo.oulu.fi
Original papers Elgendy, N., Elragal, A., & Päivärinta, T.(2022). DECAS: A modern data-
driven decision theory for big data and analytics. Journal of Decision Systems, 31 (4), 337 …
driven decision theory for big data and analytics. Journal of Decision Systems, 31 (4), 337 …
Bridging Fields of Practice: How Boundary Objects Enable Collaboration in Data Science Initiatives
N Rahlmeier, K Hopf - 2024 - aisel.aisnet.org
Data-intensive technologies draw high investments. Yet, data science projects are reported
to suffer from poor collaboration, unrealistic expectations, and difficulties in realizing …
to suffer from poor collaboration, unrealistic expectations, and difficulties in realizing …
Setting Sail for Data-Driven Decision-Making an Action Design Research Case from the Maritime Industry
To react to new market dynamics, OEM, one of the largest marine equipment manufacturers
in the world, was facing the task of transforming its aftersales business from key-account …
in the world, was facing the task of transforming its aftersales business from key-account …
[PDF][PDF] Business Intelligence & Analytics Cost Accounting: an Action Design Research Approach
R Grytz, A Krohn-Grimberghe, O Müller - 2020 - scholar.archive.org
In order to sustain their competitive advantage, data driven organizations must continue
investing in business intelligence and analytics (BI&A) while mitigating inherent cost …
investing in business intelligence and analytics (BI&A) while mitigating inherent cost …