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
Airtightness in raised access plenum floors
New testing guidance from BSRIA out now.
Picking up the hard hat on site or not
Common factors preventing workers using head protection and how to solve them.
Building trust with customers through endorsed trades
Commitment to quality demonstrated through government endorsed scheme.
New guidance for preparing structural submissions for Gateways 2 and 3
Published by the The Institution of Structural Engineers.
CIOB launches global mental health survey
To address the silent mental health crisis in construction.
New categories in sustainability, health and safety, and emerging talent.
Key takeaways from the BSRIA Briefing 2024
Not just waiting for Net Zero, but driving it.
The ISO answer to what is a digital twin
Talking about digital twins in a more consistent manner.
Top tips and risks to look out for.
New Code of Practice for fire and escape door hardware
Published by GAI and DHF.
Retrofit of Buildings, a CIOB Technical Publication
Pertinent technical issues, retrofit measures and the roles involved.
New alliance will tackle skills shortage in greater Manchester
The pioneering Electrotechnical Training and Careers Alliance.
Drone data at the edge: three steps to better AI insights
Offering greater accuracy and quicker access to insights.
From fit-out to higher-risk buildings.
Heritage conservation in Calgary
The triple bottom line.