Abstract

Data is becoming the new valuable raw material in business and in our everyday life. Like any other raw material, the value of data increases as the degree of information processing in-creases. The ongoing hype in artificial intelligence and big data seems to emphasise the amount of data and the assumption often is that the form or structure of data is relatively sim-ple. Data exchange, integration and interoperability are still serious challenges in industry and business, and failing to succeed in meeting these challenges hinders everyday work and leads to productivity losses.
In this report, we focus on defining data as a concept in a comprehensive manner. As the form, structure, amount, source and application of data differs, there is no one definition and no one embodiment of data. The report points out the different forms of dealing with data. We also illustrate the influence of the type, structure and form of data on its use, transformation and exchange, and point out the bottlenecks in application of data, and software development. The report highlights the core domains of the value chain: design and engineering, manufacturing and production, asset life cycle management and life cycle services.
The rapid change of the role of data in industry and business, and especially the new and ris-ing opportunities to create new business and services based on data, have emphasised also the challenges related to data. As for any central resource in business, there are technical, but also many other aspects in using data, such as security, openness and availability, processes and even political issues.
Original languageEnglish
PublisherVTT Technical Research Centre of Finland
Number of pages66
Publication statusPublished - 29 Nov 2019
MoE publication typeD4 Published development or research report or study

Publication series

SeriesVTT Research Report
NumberVTT-R-01136-19

Fingerprint

Industry
Life cycle
Raw materials
Electronic data interchange
Interoperability
Artificial intelligence
Software engineering
Productivity
Availability

Keywords

  • data
  • digitalisaion
  • information
  • knowledge
  • typology
  • engineering
  • cognitive manufacturing
  • asset management
  • services

Cite this

@book{09c9bb8e8af04052aeeaf9b808ead20d,
title = "Data typology in manufacturing industries",
abstract = "Data is becoming the new valuable raw material in business and in our everyday life. Like any other raw material, the value of data increases as the degree of information processing in-creases. The ongoing hype in artificial intelligence and big data seems to emphasise the amount of data and the assumption often is that the form or structure of data is relatively sim-ple. Data exchange, integration and interoperability are still serious challenges in industry and business, and failing to succeed in meeting these challenges hinders everyday work and leads to productivity losses. In this report, we focus on defining data as a concept in a comprehensive manner. As the form, structure, amount, source and application of data differs, there is no one definition and no one embodiment of data. The report points out the different forms of dealing with data. We also illustrate the influence of the type, structure and form of data on its use, transformation and exchange, and point out the bottlenecks in application of data, and software development. The report highlights the core domains of the value chain: design and engineering, manufacturing and production, asset life cycle management and life cycle services.The rapid change of the role of data in industry and business, and especially the new and ris-ing opportunities to create new business and services based on data, have emphasised also the challenges related to data. As for any central resource in business, there are technical, but also many other aspects in using data, such as security, openness and availability, processes and even political issues.",
keywords = "data, digitalisaion, information, knowledge, typology, engineering, cognitive manufacturing, asset management, services",
author = "Helena Kortelainen and Juha Kortelainen and Antti Pulkkinen and Arto Juhola and Bj{\"o}rn Hemming and Julia Kantorovitch and Eetu Heikkil{\"a} and Heikki Ailisto and Juhani Heilala",
note = "VTT-R-01136-19, project 121900",
year = "2019",
month = "11",
day = "29",
language = "English",
series = "VTT Research Report",
publisher = "VTT Technical Research Centre of Finland",
number = "VTT-R-01136-19",
address = "Finland",

}

Data typology in manufacturing industries. / Kortelainen, Helena; Kortelainen, Juha; Pulkkinen, Antti; Juhola, Arto; Hemming, Björn; Kantorovitch, Julia; Heikkilä, Eetu; Ailisto, Heikki; Heilala, Juhani.

VTT Technical Research Centre of Finland, 2019. 66 p. (VTT Research Report; No. VTT-R-01136-19).

Research output: Book/ReportReport

TY - BOOK

T1 - Data typology in manufacturing industries

AU - Kortelainen, Helena

AU - Kortelainen, Juha

AU - Pulkkinen, Antti

AU - Juhola, Arto

AU - Hemming, Björn

AU - Kantorovitch, Julia

AU - Heikkilä, Eetu

AU - Ailisto, Heikki

AU - Heilala, Juhani

N1 - VTT-R-01136-19, project 121900

PY - 2019/11/29

Y1 - 2019/11/29

N2 - Data is becoming the new valuable raw material in business and in our everyday life. Like any other raw material, the value of data increases as the degree of information processing in-creases. The ongoing hype in artificial intelligence and big data seems to emphasise the amount of data and the assumption often is that the form or structure of data is relatively sim-ple. Data exchange, integration and interoperability are still serious challenges in industry and business, and failing to succeed in meeting these challenges hinders everyday work and leads to productivity losses. In this report, we focus on defining data as a concept in a comprehensive manner. As the form, structure, amount, source and application of data differs, there is no one definition and no one embodiment of data. The report points out the different forms of dealing with data. We also illustrate the influence of the type, structure and form of data on its use, transformation and exchange, and point out the bottlenecks in application of data, and software development. The report highlights the core domains of the value chain: design and engineering, manufacturing and production, asset life cycle management and life cycle services.The rapid change of the role of data in industry and business, and especially the new and ris-ing opportunities to create new business and services based on data, have emphasised also the challenges related to data. As for any central resource in business, there are technical, but also many other aspects in using data, such as security, openness and availability, processes and even political issues.

AB - Data is becoming the new valuable raw material in business and in our everyday life. Like any other raw material, the value of data increases as the degree of information processing in-creases. The ongoing hype in artificial intelligence and big data seems to emphasise the amount of data and the assumption often is that the form or structure of data is relatively sim-ple. Data exchange, integration and interoperability are still serious challenges in industry and business, and failing to succeed in meeting these challenges hinders everyday work and leads to productivity losses. In this report, we focus on defining data as a concept in a comprehensive manner. As the form, structure, amount, source and application of data differs, there is no one definition and no one embodiment of data. The report points out the different forms of dealing with data. We also illustrate the influence of the type, structure and form of data on its use, transformation and exchange, and point out the bottlenecks in application of data, and software development. The report highlights the core domains of the value chain: design and engineering, manufacturing and production, asset life cycle management and life cycle services.The rapid change of the role of data in industry and business, and especially the new and ris-ing opportunities to create new business and services based on data, have emphasised also the challenges related to data. As for any central resource in business, there are technical, but also many other aspects in using data, such as security, openness and availability, processes and even political issues.

KW - data

KW - digitalisaion

KW - information

KW - knowledge

KW - typology

KW - engineering

KW - cognitive manufacturing

KW - asset management

KW - services

M3 - Report

T3 - VTT Research Report

BT - Data typology in manufacturing industries

PB - VTT Technical Research Centre of Finland

ER -

Kortelainen H, Kortelainen J, Pulkkinen A, Juhola A, Hemming B, Kantorovitch J et al. Data typology in manufacturing industries. VTT Technical Research Centre of Finland, 2019. 66 p. (VTT Research Report; No. VTT-R-01136-19).