KONE SiteFlow enables real-time construction schedule tracking using data to support project management
Implementing data analytics for tracking schedules in construction sites can help improve project management.
Here is how:
Finish on time: Data analytics can provide insights on how best to schedule daily operations. This will minimize delays as well as prevent overlapping activities. By analysing previous performance, construction managers can predict how long tasks will take and be able to plan accordingly.
Maximize resources: Tracking schedules in real-time ensures that staffing, tools, equipment, and materials are always on hand, thus preventing delays and misallocation of resources.
Risk management: Data analytics can spot patterns and predict potential problems in daily operations, especially those caused by weather disruptions and supply chain interruptions. This allows managers to prepare and adjust ahead with clearer insights.
More profit: Though delays in construction are common, they are also costly. Using data analytics to optimize schedules can prevent such delays and cut costs related to extended timelines, like additional labor and equipment rental fees. Finishing on time also opens up earlier opportunities for businesses to start generating income.
Better coordination and collaboration: Data analytics provides a central reference for project schedules, improving alignment. This enhances communication among team members, subcontractors, and clients.
Quality control: Real-time progress tracking allows managers to ensure construction phases meet standards before moving forward, preventing the need for costly corrective measures and rework later.
Prepare for future projects: Use insights from accumulated data on project scheduling and outcomes to predict the timeline of future projects more accurately. This helps in bidding more competitively and planning more effectively for succeeding projects.
Data-driven scheduling helps construction to plan better, therefore preventing delays. This leads to maximising resources, reducing cost, and higher profitability.
KONE SiteFlow includes Analytics in its roster of features. It can track and measure progress, analyse issues and suggest insights to offer predictive planning for construction sites.
To learn how data analytics can help your construction site plan schedules, connect with the product marketing lead of KONE SiteFlow in LinkedIn.
Get in touch with the team to learn how analytics can support construction site management
More articles
How a large office space in the Nordics saved 9% building energy cost using elevator data
This case study shows how a building in the Nordics achieved significant energy savings through this approach.
KONE Norway project manager recognised for major achievements in construction
KONE 2024 Major Projects awards Nordics PMO acknowledges Lars Johan Tveit for expertly managing successful construction projects in Norway.
Maximizing capacity in construction elevators using access control
Construction logistics expert Esa Alanen shares top tactics for optimizing elevator usage and improving elevator operations on busy construction sites.
