Construction Software Meets Reality
Current construction tools, like BIM, are detailed systems of record, but once construction begins, BIM rapidly becomes out-of-date.
From project delays to budget overruns, the construction industry has often grappled with inefficiencies. However, the introduction of data analytics has revolutionized how contractors manage projects.
Construction analytics has emerged as a game-changer. Analytics provide valuable insights and can help to streamline construction processes.
This article will serve as a guide to construction analytics. We’ll cover what construction analytics are, their applications in streamlining construction, the benefits they offer, and how Avvir's solutions leverage data and analytics to transform the industry.
Data analytics is the practice of collecting, analyzing, and interpreting data. Construction analytics give stakeholders the ability to uncover patterns, identify risks, and make data-driven decisions throughout the lifecycle of a construction project.
Generally speaking, construction businesses may use four types of data analytics:
The types of data sources used in these efforts may include:
The increased adoption of construction technology and data collection has changed the way general contractors run their job sites, allowing them to become more efficient.
Construction businesses can use data analysis in a variety of ways. Here are five ways construction data analytics can help make projects faster and more effective.
Construction analytics enables project teams to simulate and visualize designs before construction begins. By integrating BIM models with real-time data, such as material costs and labor availability, construction professionals can optimize designs, evaluate different scenarios, and make informed decisions that minimize risks and improve project outcomes.
Optimizing resource allocation is a crucial aspect of construction management. With construction analytics, project managers can accurately forecast material quantities, monitor equipment utilization, and efficiently allocate labor resources. This data-driven approach helps prevent delays, reduces waste, and enhances overall project efficiency.
Construction analytics provides real-time visibility into project progress and quality control. Sensor data, such as LiDar devices and drones, can monitor construction sites, capturing data on factors like temperature, humidity, and structural integrity. Contractors can create digital twins to monitor building progress. By analyzing this data, project teams can identify potential issues and ensure that projects meet quality standards.
By leveraging historical data and analytics, construction companies and facility managers can implement predictive maintenance strategies. Organizations can predict when maintenance is required by monitoring equipment performance, tracking maintenance schedules, and analyzing data patterns. This, in turn, can reduce downtime and optimize equipment efficiency.
Construction companies can compile data to improve future projects. For instance, companies can refine estimates for metrics like the footage of pipe installed per man hour. Accurate cost estimates allow both contractors and owners to set reasonable goals and key performance indicators (KPIs) for capital projects while simultaneously reducing the risk of cost overruns, thereby protecting the bottom line.
Streamlining construction projects via data analysis offers numerous benefits, including:
Utilizing analytics tools could pay dividends for construction companies as they look for ways to improve efficiencies on their projects.
Avvir is at the forefront of leveraging data and analytics to revolutionize the construction industry. Avvir's platform offers a range of innovative features that enable construction professionals to streamline projects, improve decision-making, and enhance overall project outcomes. Let's dive deeper into Avvir's solutions and explore how they leverage data and analytics.
One of Avvir's key strengths lies in the automated progress-tracking capabilities. Traditional methods of tracking construction progress rely on manual measurements and visual inspections occurring on-site, which can be time-consuming and prone to human error. Avvir's platform takes a data-driven approach, leveraging advanced technologies such as laser scans and point cloud data.
Avvir's platform automatically compares as-built conditions captured through laser scans with the original BIM models. By analyzing the discrepancies between the two, the platform generates detailed reports that highlight areas where the construction deviates from the intended design.
The ability to automate progress tracking not only saves significant time but also enables project teams to identify issues early on and take corrective actions promptly. By minimizing rework and ensuring that construction aligns with the design intent, Avvir helps keep projects on schedule and within budget.
Ensuring quality control throughout the construction process is essential for delivering successful projects. Avvir's platform employs advanced artificial intelligence algorithms to analyze the point cloud data obtained from laser scans and other sources. By comparing the as-built conditions with the design intent, Avvir can identify potential quality issues and discrepancies.
For example, Avvir's platform can detect if walls are not plumb, ceilings are not level, or structural elements deviate from the intended specifications. These insights enable project teams to address quality concerns promptly, reducing rework and ensuring that projects meet the required standards.
By leveraging data and analytics, Avvir empowers construction professionals to maintain high levels of quality control and deliver projects that exceed client expectations.
Avvir's platform goes beyond automated progress tracking and quality assurance by providing construction professionals with comprehensive insights into project performance. By aggregating and analyzing data from various sources, including laser scans, BIM models, and other sensor data, Avvir enables data-driven decision-making throughout the project lifecycle.
The platform offers a centralized 4D dashboard where stakeholders can access real-time data on project progress, compare actual construction with the design models, and monitor KPIs. This data-driven approach allows project teams to identify trends, spot potential risks, and make informed decisions to optimize construction processes.
Whether it's evaluating alternative design scenarios, assessing the impact of changes, or predicting potential issues, Avvir's analytics capabilities provide valuable insights that enhance project outcomes.
Avvir's platform also facilitates collaboration and communication among project stakeholders. By providing a centralized platform for sharing project data, Avvir enables seamless collaboration between architects, engineers, contractors, subcontractors, and other team members.
Streamlined communication amongst all stakeholders can improve coordination, reduce misinterpretation, and foster a collaborative environment where everyone is working towards a common goal.
Avvir's platform also supports the integration of data from multiple sources, including external software and IoT devices. This integration ensures that all relevant data is captured and analyzed, enabling stakeholders to make informed decisions based on comprehensive and accurate information.
Data analytics is transforming the construction industry. Embracing the functionality of analytics allows construction professionals to deliver projects more efficiently than ever before.
At Avvir, we push reality analysis to provide actionable insights during the life cycle of large-scale projects. These actionable insights are one of the first critical steps to providing business intelligence and construction analytics to owners, GCs, and subcontractors on each project.
For further reading, download our Construction Analytics e-book to learn about leveraging business intelligence and analytics to drive the construction industry forward.
5/10/21
Team Spotlight
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