Building an Industry 4.0 analytics platform: practical challenges, approaches and future research directions
C Gröger - Datenbank-Spektrum, 2018 - Springer
The ecosystem of big data technologies and advanced analytics tools has evolved rapidly in
the last years offering companies new possibilities for digital transformation and data-driven …
the last years offering companies new possibilities for digital transformation and data-driven …
Designing manufacturing dashboards on the basis of a Key Performance Indicator survey
Target-oriented and real-time information provisioning across all hierarchy levels, from shop
floor to top floor, is an important success factory for manufacturing companies to facilitate …
floor to top floor, is an important success factory for manufacturing companies to facilitate …
A framework for analytical cost estimation of mechanical components based on manufacturing knowledge representation
This paper presents a novel framework for manufacturing and cost-related knowledge
formalization. This artefact allows industries to capitalize the knowledge of experienced …
formalization. This artefact allows industries to capitalize the knowledge of experienced …
From data asset to data product–the role of the data provider in the enterprise data marketplace
In the big data era companies have an increasing volume of data at their disposal. To
enable the democratization of this data so it can be found, understood and accessed by the …
enable the democratization of this data so it can be found, understood and accessed by the …
Product life cycle analytics–next generation data analytics on structured and unstructured data
L Kassner, C Gröger, B Mitschang, E Westkämper - Procedia CIRP, 2015 - Elsevier
Existing analytics approaches on unstructured data around the product life cycle focus on
isolated data sources from a single product life cycle phase, do not make use of structured …
isolated data sources from a single product life cycle phase, do not make use of structured …
The data-driven factory-leveraging big industrial data for agile, learning and human-centric manufacturing
Global competition in the manufacturing industry is characterized by ever shorter product life
cycles, increasing complexity and a turbulent environment. High product quality …
cycles, increasing complexity and a turbulent environment. High product quality …
The Stuttgart IT architecture for manufacturing: An architecture for the data-driven factory
The global conditions for manufacturing are rapidly changing towards shorter product life
cycles, more complexity and more turbulence. The manufacturing industry must meet the …
cycles, more complexity and more turbulence. The manufacturing industry must meet the …
[HTML][HTML] The Lakehouse: State of the Art on Concepts and Technologies
In the context of data analytics, so-called lakehouses refer to novel variants of data platforms
that attempt to combine characteristics of data warehouses and data lakes. In this way …
that attempt to combine characteristics of data warehouses and data lakes. In this way …
Ganzheitliches metadatenmanagement im data lake: Anforderungen, IT-werkzeuge und herausforderungen in der praxis
Data Lakes haben sich in der industriellen Praxis als Plattformen für die Speicherung und
Analyse aller Arten von (Roh-) daten etabliert. Erweiterte Anforderungen hinsichtlich …
Analyse aller Arten von (Roh-) daten etabliert. Erweiterte Anforderungen hinsichtlich …
A mobile dashboard for analytics-based information provisioning on the shop floor
Today's turbulent global environment requires agility and flexibility of manufacturing
companies to stay competitive. Thus, employees have to monitor their performance …
companies to stay competitive. Thus, employees have to monitor their performance …