Project success and why quality management matters - Revision history

Designing Buildings at 05:34, 7 April 2023

2023-04-07T05:34:19Z

← Older revision		Revision as of 05:34, 7 April 2023
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		+	= Introduction =
		+
	Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020, with bytes of data at the root, running up rework bills of £63million, according the Autodesk/FMI report '[https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Harnessing the Data Advantage in Construction'.]		Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020, with bytes of data at the root, running up rework bills of £63million, according the Autodesk/FMI report '[https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Harnessing the Data Advantage in Construction'.]

−	These numbers ~~highlight~~ greater emphasis needed on collecting and surfacing accurate data with efficient data handling at all stages of the building project. Sector-specific quality management tools can weed out expensive errors. generate cost savings and increase data efficiency across the board for housebuilders, developers and other construction professionals.	+	These numbers suggest greater emphasis is needed on collecting and surfacing accurate data with efficient data handling at all stages of the building project. Sector-specific quality management tools can weed out expensive errors. generate cost savings and increase data efficiency across the board for housebuilders, developers and other construction professionals.

	= What is the issue? =		= What is the issue? =

Editor: moved Prepare for Project Success – Why Quality Management Matters to Project success and why quality management matters

2023-04-05T20:22:50Z

moved Prepare for Project Success – Why Quality Management Matters to Project success and why quality management matters

← Older revision

Revision as of 20:22, 5 April 2023

Editor at 07:21, 4 April 2023

2023-04-04T07:21:24Z

← Older revision		Revision as of 07:21, 4 April 2023
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	* Brief.		* Brief.
	* Communication and document control - the way to project success.		* Communication and document control - the way to project success.
		+	* Construction quality management guide.
		+	* Design quality for buildings.
		+	* Digital quality management in construction.
	* Dynamic conditions for project success.		* Dynamic conditions for project success.
	* Data.		* Data.
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	* Initial project brief.		* Initial project brief.
	* Initial success criteria.		* Initial success criteria.
		+	* ISO 9001.
	* Project brief.		* Project brief.
	* Project success criteria.		* Project success criteria.
		+	* Pareto analysis.
		+	* Quality assurance.
		+	* Quality control.
		+	* Quality in construction projects.
		+	* Quality management systems (QMS) - beyond the documentation.
		+	* Quality manuals and quality plans.
	* Selection criteria.		* Selection criteria.
	* Statement of need.		* Statement of need.

Editor at 07:14, 4 April 2023

2023-04-04T07:14:52Z

← Older revision		Revision as of 07:14, 4 April 2023
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	= What is the issue? =		= What is the issue? =

−	Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like ~~[https://www.zutec.com/product/quality-management/part-l-compliance/~~ Part L], where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.	+	Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like Part L, where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.

	The FMI report states:		The FMI report states:
Line 32:		Line 32:
	A centralised platform that collates, standardises, stores and shares all documentation and data, would make Part L a simpler part of the building project process, as opposed to a major obstacle.		A centralised platform that collates, standardises, stores and shares all documentation and data, would make Part L a simpler part of the building project process, as opposed to a major obstacle.

−	Even though construction professionals are collecting more data digitally than ever before, there are plenty that are using the wrong tools for the job. ~~[https://www.zutec.com/part-l-a-tailored-platform-for-the-job/~~ Ambiguous software and platforms] that don’t standardise or structure data and don’t offer the required level of quality management mean that any data can slip through the net. Some projects are using a multitude of solutions that synchronise, rendering data and documentation unclear, in silos and even worse – incorrect.	+	Even though construction professionals are collecting more data digitally than ever before, there are plenty that are using the wrong tools for the job. Ambiguous software and platforms that don’t standardise or structure data and don’t offer the required level of quality management mean that any data can slip through the net. Some projects are using a multitude of solutions that synchronise, rendering data and documentation unclear, in silos and even worse – incorrect.

−	Massive delays can be a symptom of bad data quality management.	+	* Massive delays can be a symptom of bad data quality management.
−		+	* Get the data seal of approval with the right Quality Management
−	Get the data seal of approval with the right Quality Management	+

	A clear process, outlined from the beginning and with all stakeholders involved with data acquisition, is key to ensuring any data that is collected, is valuable and understandable.		A clear process, outlined from the beginning and with all stakeholders involved with data acquisition, is key to ensuring any data that is collected, is valuable and understandable.

−	Templates and guidelines that highlight common standardisations to ensure the right data is gathered, direct where the data should be stored and make the data transparent with a user-friendly experience, accessibility and labelling of data, would help teams align and increase efficiency. Is there a better way to focus your team’s efforts on productive activity, increase efficiency and work ~~toward~~ a swift and satisfactory conclusion, than with a platform where everyone has the data they need at all times and know what they need to do with it?	+	Templates and guidelines that highlight common standardisations to ensure the right data is gathered, direct where the data should be stored and make the data transparent with a user-friendly experience, accessibility and labelling of data, would help teams align and increase efficiency. Is there a better way to focus your team’s efforts on productive activity, increase efficiency and work towards a swift and satisfactory conclusion, than with a platform where everyone has the data they need at all times and know what they need to do with it?

	Erroneous and badly aligned data slow down progress and can make regulatory compliance – something your project depends on – a slog, rather than simply another well-signposted milestone in your process.		Erroneous and badly aligned data slow down progress and can make regulatory compliance – something your project depends on – a slog, rather than simply another well-signposted milestone in your process.

	A Quality Management solution gives you and your team the templates, workflows and dashboards to capture, mark-up, trace and share all photographic evidence and present it for assessors. It avoids confusion on what data to collect and helps every stakeholder know what needs to be done at every stage. You’re missing photographic evidence for a plot or there is documentation missing? An intuitive and clear dashboard that tracks Part L evidence progress fits the bill and dispels any confusion.		A Quality Management solution gives you and your team the templates, workflows and dashboards to capture, mark-up, trace and share all photographic evidence and present it for assessors. It avoids confusion on what data to collect and helps every stakeholder know what needs to be done at every stage. You’re missing photographic evidence for a plot or there is documentation missing? An intuitive and clear dashboard that tracks Part L evidence progress fits the bill and dispels any confusion.
−
−	~~If you want your data to be correct and your project to have that assurance of Quality Management?~~
−
−	~~Then choose the right tool for the job.~~
−
−	~~[https://www.zutec.com/product/quality-management/ Learn more about our Quality Management Solutions]~~

	--[[User:Zutec\|Zutec]] 09:59, 19 Dec 2022 (BST)		--[[User:Zutec\|Zutec]] 09:59, 19 Dec 2022 (BST)
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	* Success criteria.		* Success criteria.

−	[[Category:DCN_Commentary]] [[Category:DCN_Software]] [[Category:Construction_management]] [[Category:Operations]]	+	[[Category:DCN_Commentary]] [[Category:DCN_Software]] [[Category:Construction_management]] [[Category:Operations]] [[Category:Roles_/_services]]

Editor at 15:46, 29 December 2022

2022-12-29T15:46:03Z

← Older revision		Revision as of 15:46, 29 December 2022
Line 7:		Line 7:
	Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.		Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.

−	== The FMI report states: ==	+	The FMI report states:

	* 82% of professionals are collecting more data from construction technology today than three years ago, but 39% say that less than half of that data is usable		* 82% of professionals are collecting more data from construction technology today than three years ago, but 39% say that less than half of that data is usable

Editor at 15:45, 29 December 2022

2022-12-29T15:45:08Z

← Older revision		Revision as of 15:45, 29 December 2022
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	--[[User:Zutec\|Zutec]] 09:59, 19 Dec 2022 (BST)		--[[User:Zutec\|Zutec]] 09:59, 19 Dec 2022 (BST)

−	[[Category:~~Articles_needing_more_work~~]] [[Category:Operations]]	+	= Related articles on Designing Buildings =
		+
		+	* Brief.
		+	* Communication and document control - the way to project success.
		+	* Dynamic conditions for project success.
		+	* Data.
		+	* Information.
		+	* Initial project brief.
		+	* Initial success criteria.
		+	* Project brief.
		+	* Project success criteria.
		+	* Selection criteria.
		+	* Statement of need.
		+	* Strategic brief.
		+	* Success criteria.
		+
		+	[[Category:DCN_Commentary]] [[Category:DCN_Software]] [[Category:Construction_management]] [[Category:Operations]]

Editor at 14:50, 29 December 2022

2022-12-29T14:50:35Z

← Older revision		Revision as of 14:50, 29 December 2022
Line 7:		Line 7:
	Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.		Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.

−	The FMI report states:	+	== The FMI report states: ==

	* 82% of professionals are collecting more data from construction technology today than three years ago, but 39% say that less than half of that data is usable		* 82% of professionals are collecting more data from construction technology today than three years ago, but 39% say that less than half of that data is usable
Line 15:		Line 15:
	With such widespread problems, clarity must be a priority when dealing with project data.		With such widespread problems, clarity must be a priority when dealing with project data.

−	What is needed?	+	* What is needed?
		+	* When is it needed by?
		+	* Who is collecting the data?
		+	* Where does the data go and where is it stored?
		+	* Why is this data being collected?
		+	* And how can the data be easily shared with key stakeholders and collaborated on?

−	~~When is it needed by?~~	+	By answering these questions, those in the construction sector can make better decisions to build better, avoiding costly reworks and complying with mandatory regulations like Part L, and the Building Safety Act. By integrating the right solution, these questions can be answered, as a tool built for these demands will be pre-configured to prioritise and standardise structured data.

−	~~Who is collecting the data?~~	+	Which also means that mandatory requirements in regulations such as Part L will simply be another milestone in a project rather than an obstacle.

−	~~Where does the data go and where is it stored?~~	+	= Comply with Quality Management =

−	~~Why is this data being collected?~~	+	Part L, as an example, requires that SAP assessors have evidence and data presented promptly, so EPCs (Energy Performance Certificates) and the BREL Report (Building Regulation England Part L Report) can be released. The as-built BREL Report must be completed and presented to the SAP assessor prior to the EPC being produced. An on-site audit of building details and thermal elements will be required during construction and at completion for building regulations approval, including photographic evidence to confirm all new builds and refurbished dwellings are constructed correctly using materials and technology that ensure energy savings and meets building regulation standards.
−		+
−	~~And how can the data be easily shared with key stakeholders and collaborated on?~~	+
−		+
−	By answering these questions, those in the construction sector can make better decisions to build better, avoiding costly rework and easily complying with mandatory regulations like Part L, and the Building Safety Act. And by integrating the RIGHT solution, these questions will be answered, as a tool built for these demands will be pre-configured to prioritise and standardise structured data.	+
−		+
−	~~Which also means that mandatory requirements in regulations such as Part L will no longer be an obstacle. Instead, it will simply be another milestone in a project.~~	+
−		+
−	~~Comply with Quality Management~~	+
−		+
−	Part L, as an example, ~~demands~~ that SAP assessors have evidence and data presented promptly, so EPCs (Energy Performance Certificates) and the BREL Report (Building Regulation England Part L Report) can be released. The as-built BREL Report must be completed and presented to the SAP assessor prior to the EPC being produced. An on-site audit of building details and thermal elements will be required during construction and at completion for building ~~regulation~~ approval, including photographic evidence to confirm all new builds and refurbished dwellings are constructed correctly using materials and technology that ensure energy savings and meets building regulation standards.	+

	A centralised platform that collates, standardises, stores and shares all documentation and data, would make Part L a simpler part of the building project process, as opposed to a major obstacle.		A centralised platform that collates, standardises, stores and shares all documentation and data, would make Part L a simpler part of the building project process, as opposed to a major obstacle.
Line 59:		Line 54:
	--[[User:Zutec\|Zutec]] 09:59, 19 Dec 2022 (BST)		--[[User:Zutec\|Zutec]] 09:59, 19 Dec 2022 (BST)

−	[[Category:Operations]]	+	[[Category:Articles_needing_more_work]] [[Category:Operations]]

Editor at 14:45, 29 December 2022

2022-12-29T14:45:23Z

← Older revision		Revision as of 14:45, 29 December 2022
Line 1:		Line 1:
−	Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020,	+	Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020, with bytes of data at the root, running up rework bills of £63million, according the Autodesk/FMI report '[https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Harnessing the Data Advantage in Construction'.]

−	These ~~bytes of~~ data ~~that are~~ at the ~~root of this~~ expensive ~~problem~~, ~~run up rework bills of £63million alone, according to the same report~~	+	These numbers highlight greater emphasis needed on collecting and surfacing accurate data with efficient data handling at all stages of the building project. Sector-specific quality management tools can weed out expensive errors. generate cost savings and increase data efficiency across the board for housebuilders, developers and other construction professionals.

−	~~These staggering numbers scream that more emphasis needs to be focused on collecting and surfacing accurate data and efficient data handling at all stages of~~ the ~~building project.~~	+	= What is the issue? =

−	~~A sector-specific~~ [https://~~www~~.~~zutec~~.com/~~product~~/~~quality~~-~~management/ Quality Management] tool that weeds out these expensive errors could generate mammoth cost savings and increase~~ data ~~efficiency across the board for housebuilders, developers and other~~ construction ~~professionals – which would make a positive impact on yearly targets for any housebuilder or developer.~~	+	Bad data, as the [https://construction.autodesk.com/resources/guides/harnessing-data-advantage-in-construction Autodesk/FMI report] spells out, is bleeding profits for construction companies, despite the industry converting to more digital methods to manage and understand it. A survey of 1,115 construction professionals,as part of the report highlights the need for change, as data obtained is either unclear or unusable. At worst, professionals are unclear about exactly what type of data needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data might be mandatory to ensure compliance, lacking or bad data could lead to an inevitable delay of project completion if costly and invasive reworks were required to obtain it.
−		+
−	~~=== What’s the issue? ===~~	+
−		+
−	~~Bad data, as the~~ FMI report spells out, is bleeding profits for ~~all~~ construction companies, despite the industry converting to more digital methods to manage and understand it.	+
−		+
−	~~The report, a~~ survey of 1,115 construction professionals, ~~tells us that there isn’t a specific~~ part of ~~building projects that needs rewriting. Across~~ the ~~board,~~ the data ~~being~~ obtained is either unclear or unusable. At worst, professionals ~~remain~~ unclear about exactly what type of data ~~that~~ needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data is mandatory to ensure compliance, lacking or bad data ~~would~~ lead to ~~the~~ inevitable delay of a project completion if costly and invasive reworks were required to obtain it.	+

	The FMI report states:		The FMI report states:

Zutec: Created page with "Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020, These bytes of data that are at the root of this expensive problem, run ..."

2022-12-19T09:59:24Z

Created page with "Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020, These bytes of data that are at the root of this expensive problem, run ..."

New page

Poor decisions made using ‘bad data’ cost the construction industry £1.3 trillion globally in 2020,

These bytes of data that are at the root of this expensive problem, run up rework bills of £63million alone, according to the same report

These staggering numbers scream that more emphasis needs to be focused on collecting and surfacing accurate data and efficient data handling at all stages of the building project.

A sector-specific [https://www.zutec.com/product/quality-management/ Quality Management] tool that weeds out these expensive errors could generate mammoth cost savings and increase data efficiency across the board for housebuilders, developers and other construction professionals – which would make a positive impact on yearly targets for any housebuilder or developer.

=== What’s the issue? ===

Bad data, as the FMI report spells out, is bleeding profits for all construction companies, despite the industry converting to more digital methods to manage and understand it.

The report, a survey of 1,115 construction professionals, tells us that there isn’t a specific part of building projects that needs rewriting. Across the board, the data being obtained is either unclear or unusable. At worst, professionals remain unclear about exactly what type of data that needs to be obtained, and how it should be stored and managed. For building regulations like [https://www.zutec.com/product/quality-management/part-l-compliance/ Part L], where digital data is mandatory to ensure compliance, lacking or bad data would lead to the inevitable delay of a project completion if costly and invasive reworks were required to obtain it.

The FMI report states:

* 82% of professionals are collecting more data from construction technology today than three years ago, but 39% say that less than half of that data is usable
* 40% of the average organisation’s data is bad – meaning inaccurate, incomplete, inconsistent or untimely information
* Professionals report problems with the whole process, from knowing what data to collect (51%) to understanding how to manage project data effectively (52%)

With such widespread problems, clarity must be a priority when dealing with project data.

What is needed?

When is it needed by?

Who is collecting the data?

Where does the data go and where is it stored?

Why is this data being collected?

And how can the data be easily shared with key stakeholders and collaborated on?

By answering these questions, those in the construction sector can make better decisions to build better, avoiding costly rework and easily complying with mandatory regulations like Part L, and the Building Safety Act. And by integrating the RIGHT solution, these questions will be answered, as a tool built for these demands will be pre-configured to prioritise and standardise structured data.

Which also means that mandatory requirements in regulations such as Part L will no longer be an obstacle. Instead, it will simply be another milestone in a project.

Comply with Quality Management

Part L, as an example, demands that SAP assessors have evidence and data presented promptly, so EPCs (Energy Performance Certificates) and the BREL Report (Building Regulation England Part L Report) can be released. The as-built BREL Report must be completed and presented to the SAP assessor prior to the EPC being produced. An on-site audit of building details and thermal elements will be required during construction and at completion for building regulation approval, including photographic evidence to confirm all new builds and refurbished dwellings are constructed correctly using materials and technology that ensure energy savings and meets building regulation standards.

A centralised platform that collates, standardises, stores and shares all documentation and data, would make Part L a simpler part of the building project process, as opposed to a major obstacle.

Even though construction professionals are collecting more data digitally than ever before, there are plenty that are using the wrong tools for the job. [https://www.zutec.com/part-l-a-tailored-platform-for-the-job/ Ambiguous software and platforms] that don’t standardise or structure data and don’t offer the required level of quality management mean that any data can slip through the net. Some projects are using a multitude of solutions that synchronise, rendering data and documentation unclear, in silos and even worse – incorrect.

Massive delays can be a symptom of bad data quality management.

Get the data seal of approval with the right Quality Management

A clear process, outlined from the beginning and with all stakeholders involved with data acquisition, is key to ensuring any data that is collected, is valuable and understandable.

Templates and guidelines that highlight common standardisations to ensure the right data is gathered, direct where the data should be stored and make the data transparent with a user-friendly experience, accessibility and labelling of data, would help teams align and increase efficiency. Is there a better way to focus your team’s efforts on productive activity, increase efficiency and work toward a swift and satisfactory conclusion, than with a platform where everyone has the data they need at all times and know what they need to do with it?

Erroneous and badly aligned data slow down progress and can make regulatory compliance – something your project depends on – a slog, rather than simply another well-signposted milestone in your process.

A Quality Management solution gives you and your team the templates, workflows and dashboards to capture, mark-up, trace and share all photographic evidence and present it for assessors. It avoids confusion on what data to collect and helps every stakeholder know what needs to be done at every stage. You’re missing photographic evidence for a plot or there is documentation missing? An intuitive and clear dashboard that tracks Part L evidence progress fits the bill and dispels any confusion.

If you want your data to be correct and your project to have that assurance of Quality Management?

Then choose the right tool for the job.

[https://www.zutec.com/product/quality-management/ Learn more about our Quality Management Solutions]

--[[User:Zutec|Zutec]] 09:59, 19 Dec 2022 (BST)

[[Category:Operations]]