Predictive analytics
Contents |
[edit] Introduction
Analytics is a form of logical analysis that can be used to interpret large quantities of data, for monitoring, assessment and prediction. It is the link between data and informed decision making and can be used as a form of predictive intelligence to help shape future plans.
[edit] What is predictive analytics?
Thanks to integrated software programmes, machines can perform some tasks intelligently, thinking and working in a similar way to natural intelligence. This ability is called artificial intelligence (AI) or machine intelligence.
Predictive analytics is a category of data analytics linked to AI, machine learning and data mining that gathers information about past events to make predictions about the future. Based on existing data, predictive analytics identifies patterns - both positive and negative - to uncover relationships and trends that can have an impact on the success or failure of a project, process or business.
[edit] Examples of predictive analytics
Predictive analytics can be used to identify risk and streamline construction workflows. This form of construction technology (ConTech) can use real-time and historical data as well as weather and environmental information to help construction companies use their resources more efficiently. For example, construction firms can prevent unscheduled downtime or make machinery last longer while also improving equipment dispatching and planning.
Predictive analytics can also help companies manage resources by forecasting the exact quantity of a specific material that will be needed at a certain time, improving supply chain management by determining where and when materials should be allocated.
[edit] Related articles on Designing Buildings Wiki
- Artificial intelligence.
- ConTech.
- Data analytics.
- Data and behaviours in construction
- Innovation in engineering and construction, a sleeping sector awakens in Davos
- Shaping the Future of Construction: Inspiring innovators redefine the industry
- Six buildings that are revolutionising the construction industry.
[edit] External resources
- Predictive Analytics Strategic Council, Applying predictive analytics in construction.
Featured articles and news
Professional practical experience for Architects in training
The long process to transform the nature of education and professional practical experience in the Architecture profession following recent reports.
A people-first approach to retrofit
Moving away from the destructive paradigm of fabric-first.
International Electrician Day, 10 June 2025
Celebrating the role of electrical engineers from André-Marie Amperè, today and for the future.
New guide for clients launched at Houses of Parliament
'There has never been a more important time for clients to step up and ...ask the right questions'
The impact of recycled slate tiles
Innovation across the decades.
EPC changes for existing buildings
Changes and their context as the new RdSAP methodology comes into use from 15 June.
Skills England publishes Sector skills needs assessments
Priority areas relating to the built environment highlighted and described in brief.
BSRIA HVAC Market Watch - May 2025 Edition
Heat Pump Market Outlook: Policy, Performance & Refrigerant Trends for 2025–2028.
Committing to EDI in construction with CIOB
Built Environment professional bodies deepen commitment to EDI with two new signatories: CIAT and CICES.
Government Grenfell progress report at a glance
Line by line recomendation overview, with links to more details.
An engaging and lively review of his professional life.
Sustainable heating for listed buildings
A problem that needs to be approached intelligently.
50th Golden anniversary ECA Edmundson apprentice award
Deadline for entries has been extended to Friday 27 June, so don't miss out!
CIAT at the London Festival of Architecture
Designing for Everyone: Breaking Barriers in Inclusive Architecture.
Mixed reactions to apprenticeship and skills reform 2025
A 'welcome shift' for some and a 'backwards step' for others.