[HTML][HTML] Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories

J Weller, N Migenda, Y Naik, T Heuwinkel, A Kühn… - Mathematics, 2024 - mdpi.com
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 …

Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories

J Weller, N Migenda, S von Enzberg, M Kohlhase… - Procedia CIRP, 2024 - Elsevier
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 …

[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 …

[PDF][PDF] Prioritizing and organizing the modeling of the long tail of business processes

M Fischer, F Imgrund, C Janiesch - 2020 - scholar.archive.org
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 …

Constructing actionable insights: The missing link between data, artificial intelligence, and organizational decision-making

A Shollo, RD Galliers - … Artificial Intelligence and Decision Making in …, 2024 - elgaronline.com
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 …

[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 …

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 …

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 …

Setting Sail for Data-Driven Decision-Making an Action Design Research Case from the Maritime Industry

T Thiess, O Müller - Design Science Research. Cases, 2020 - Springer
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 …

[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 …