Making the most of big data - Revision history

Designing Buildings at 13:07, 2 January 2021

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	* Top big data tools used to store and analyze data.		* Top big data tools used to store and analyze data.

−	[[Category:~~Research_/_Innovation~~]] [[Category:~~DCN_Research,_Development_and_Innovation~~]] [[Category:~~Standards_~~/~~_measurements~~]] [[Category:~~DCN_Standard~~]]	+	[[Category:DCN_Commentary]] [[Category:DCN_Guidance]] [[Category:Research_/_Innovation]] [[Category:Standards_/_measurements]]

Editor at 18:47, 18 December 2019

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	* Big data.		* Big data.
	* Building Services Analytics - BG 75 2018.		* Building Services Analytics - BG 75 2018.
		+	* Data analytics.
	* Digital twin.		* Digital twin.
	* Engineering Smart Cities.		* Engineering Smart Cities.
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	* Top big data tools used to store and analyze data.		* Top big data tools used to store and analyze data.

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Designing Buildings at 14:39, 18 December 2018

2018-12-18T14:39:53Z

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	* Application Programming Interfaces (APIs).		* Application Programming Interfaces (APIs).
	* Big data.		* Big data.
		+	* Building Services Analytics - BG 75 2018.
	* Digital twin.		* Digital twin.
	* Engineering Smart Cities.		* Engineering Smart Cities.

Designing Buildings at 14:46, 28 November 2018

2018-11-28T14:46:38Z

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	--[[User:The_Institution_of_Civil_Engineers\|The Institution of Civil Engineers]]		--[[User:The_Institution_of_Civil_Engineers\|The Institution of Civil Engineers]]

−	~~= Find out more =~~	+	= Related articles on Designing Buildings Wiki =
−		+
−	=== Related articles on Designing Buildings Wiki ===	+

	* 5 steps for a healthy data culture in construction.		* 5 steps for a healthy data culture in construction.
−	* ~~[[User:The_Institution_of_Civil_Engineers\|~~Articles by ICE on Designing Buildings Wiki.]]	+	* Articles by ICE on Designing Buildings Wiki.
	* Application Programming Interfaces (APIs).		* Application Programming Interfaces (APIs).
	* Big data.		* Big data.

Designing Buildings at 08:56, 21 November 2018

2018-11-21T08:56:08Z

← Older revision		Revision as of 08:56, 21 November 2018
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	=== Related articles on Designing Buildings Wiki ===		=== Related articles on Designing Buildings Wiki ===

		+	* 5 steps for a healthy data culture in construction.
	* [[User:The_Institution_of_Civil_Engineers\|Articles by ICE on Designing Buildings Wiki.]]		* [[User:The_Institution_of_Civil_Engineers\|Articles by ICE on Designing Buildings Wiki.]]
	* Application Programming Interfaces (APIs).		* Application Programming Interfaces (APIs).

Editor at 15:30, 21 November 2017

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← Older revision		Revision as of 15:30, 21 November 2017
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	* Application Programming Interfaces (APIs).		* Application Programming Interfaces (APIs).
	* Big data.		* Big data.
		+	* Digital twin.
	* Engineering Smart Cities.		* Engineering Smart Cities.
	* How data can stop waste.		* How data can stop waste.

Editor at 17:32, 31 October 2017

2017-10-31T17:32:02Z

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	* Smart technology.		* Smart technology.
	* Top 10 tips for efficient data centre management.		* Top 10 tips for efficient data centre management.
		+	* Top big data tools used to store and analyze data.

	[[Category:Research_/_Innovation]] [[Category:Standards_/_measurements]]		[[Category:Research_/_Innovation]] [[Category:Standards_/_measurements]]

Editor at 10:41, 10 July 2017

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	* [[User:The_Institution_of_Civil_Engineers\|Articles by ICE on Designing Buildings Wiki.]]		* [[User:The_Institution_of_Civil_Engineers\|Articles by ICE on Designing Buildings Wiki.]]
		+	* Application Programming Interfaces (APIs).
	* Big data.		* Big data.
	* Engineering Smart Cities.		* Engineering Smart Cities.

Editor at 11:05, 4 May 2017

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	Mobile technology has changed the way that business is done, goods are purchased and services are engaged with. With over 20 billion devices connected to the internet by 2020, an unprecedented volume of information is being generated. But is society making the most of this rich data?		Mobile technology has changed the way that business is done, goods are purchased and services are engaged with. With over 20 billion devices connected to the internet by 2020, an unprecedented volume of information is being generated. But is society making the most of this rich data?

−	[[File:Data-centre.jpg]]	+	[[File:Data-centre.jpg\|link=File:Data-centre.jpg]]

	Data is valuable, it’s the new currency. In many sectors, including transport, it becomes invaluable when it is gathered, analysed and transformed into operational and business intelligence. And now there is a great potential for doing so in real-time, offering even bigger opportunities for the travel experience. It’s how data is used that will inform and influence the design of future cities.		Data is valuable, it’s the new currency. In many sectors, including transport, it becomes invaluable when it is gathered, analysed and transformed into operational and business intelligence. And now there is a great potential for doing so in real-time, offering even bigger opportunities for the travel experience. It’s how data is used that will inform and influence the design of future cities.
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	* Open data - how can it aid the development of the construction industry?		* Open data - how can it aid the development of the construction industry?
	* Smart technology.		* Smart technology.
		+	* Top 10 tips for efficient data centre management.

	[[Category:Research_/_Innovation]] [[Category:Standards_/_measurements]]		[[Category:Research_/_Innovation]] [[Category:Standards_/_measurements]]

Editor: Created page with "Mobile technology has changed the way that business is done, goods are purchased and services are engaged with. With over 20 billion devices connected to the internet by 2020, an..."

2017-04-28T09:11:20Z

Created page with "Mobile technology has changed the way that business is done, goods are purchased and services are engaged with. With over 20 billion devices connected to the internet by 2020, an..."

New page

Mobile technology has changed the way that business is done, goods are purchased and services are engaged with. With over 20 billion devices connected to the internet by 2020, an unprecedented volume of information is being generated. But is society making the most of this rich data?

[[File:Data-centre.jpg]]

Data is valuable, it’s the new currency. In many sectors, including transport, it becomes invaluable when it is gathered, analysed and transformed into operational and business intelligence. And now there is a great potential for doing so in real-time, offering even bigger opportunities for the travel experience. It’s how data is used that will inform and influence the design of future cities.

In March 2017, Atkins released a [http://www.atkinsglobal.com/~/media/Files/A/Atkins-Corporate/group/reports-and-presentations/atkins-im-white-paper-data.pdf white paper] that considers how insights from big data can be used to influence strategic decision-making and user behaviour.

As well as adding extra network capacity and delivering a better customer experience, big data presents an incredible opportunity to influence people’s behaviour, offering travellers smarter and more sustainable transport choices.

For example, in a world of connected and autonomous vehicles (CAVs), data can be gathered that will inform about the condition of the transport network, traveller and vehicle behaviour, usage peaks and troughs, the design and operation of towns and cities and social trends. The maximum value of collaborative CAVs will only be possible with shared ownership and better planned urban networks.

Atkins is currently expanding its use of big data to include mobile phone data, GPS data and a wide range of maintained data assets and connected sensors. This helps to plan and design future services, quickly address any issues on the network, inform customers of disruptions, travel updates and much more. This is just the tip of what is possible.

Atkins has a growing portfolio of big data insight projects based on more generic and well-maintained data sources. These are built on data analytics platforms that can automate common analysis to enable substantial productivity and quality improvements.

Using big data insight it will be possible to encourage and incentivise users of the transport system to move closer to their workplace and popular facilities as well as to more sustainable transport and urban environments.

Contemporary planning will help ensure that the right travel alternatives are in the right place and at the right time to make these long-term choices attractive.

So what needs to be done now?

* The ‘velocity’ of traditional data analytics needs to be increased from what might be several weeks to a matter of minutes, with big data enabling new forms of algorithms and models to be trained and applied on accelerated computer systems.
* A way needs to be found to ensure data can be shared seamlessly across systems and sectors to maximise the benefits of big data for society as a whole.
* The benefits that sharing data can have need to be shown so public opinion can shift and people’s lives and journeys can be improved through having access to the bigger picture.

By capturing data and applying scenario planning a route can be charted towards a more connected, automated and data-driven future and a better passenger experience for all.

-----
This article was originally published [https://www.ice.org.uk/ice-thinks/infrastructure-transformation/are-we-making-the-most-of-big-data here] on 27 April 2017 by ICE. It was written by Lila Tachtsi, Service Director Asset Management, Atkins.

--[[User:The_Institution_of_Civil_Engineers|The Institution of Civil Engineers]]

= Find out more =

=== Related articles on Designing Buildings Wiki ===

* [[User:The_Institution_of_Civil_Engineers|Articles by ICE on Designing Buildings Wiki.]]
* Big data.
* Engineering Smart Cities.
* How data can stop waste.
* Internet of things.
* Open data.
* Open data - how can it aid the development of the construction industry?
* Smart technology.

[[Category:Research_/_Innovation]] [[Category:Standards_/_measurements]]