Data is important in any job and naturally, it’s important for construction. It supports and dictates the decision-making process. However, when that data is incorrect it can make for a costly rework budget.
In 2016, data mistakes cost the United States an outstanding 3.1 trillion dollars in budget overruns and project delays. Over half of that was in the construction industry alone.
Rework in construction means losing time and money for your project. It obviously leads to serious frustrations between team members and clients. But it can be avoided by eliminating bad data.
Eliminating Bad Data
Single Focal Point
Deciding where you could benefit most from having data-driven insight and clear value will maximize your return on investment (ROI). This will encourage organizational buy-in.
For example, some industry leaders start with safety and quality assurance, two areas where data is readily available. Having a single point of focus directs the efforts of individuals, which accelerates the impact of improvements.
Identify your Data
Many firms revealed in a survey that the volume of data they use is overwhelming. They reported feeling lost and not knowing where to start. Though only 36% of the surveyed firms reported implementing a process to identify bad data. In fact, many industry leaders stated that it took nearly two years to completely “clean” their own data.
Preventing this time-hogging undertaking involves standardizing data capture. This can confirm accurate and actionable insight.
Structure your Data
It is extremely important to keep all data in a specific environment. This also means having a single preference solution to any impending situation that might arise. This will help to fuse complementary technology solutions with a strong integration capability to help facilitate the amount of project data.
This will help you avoid not having information or the correct information you need readily available when your construction team needs it. Using a specific data environment also makes collaboration between project managers much easier all while helping avoid creating more bad data and rework in construction.
Double Check Everything
Double-checking everything might be painful and tedious, but much of the bad data is due to small mistakes. According to a report conducted by FMI and Autodesk, 24% of bad data is either inaccurate or incorrect. Simple typos can make a huge difference when collecting data.
Obviously, this will take more time so, create a dedicated team or invest in an outsourced company. By doing something as simple as double-checking your work you can avoid costly mistakes.
Data Management Staff
When hiring staff, look for data management and analysis skills in potential candidates. These skills continue to be a critical advantage for construction firms. Teach and train these skills to employees who do not already possess them.
Firms must also evaluate existing processes and standards in order to better understand where data is bad or incomplete.
After hiring a devoted staff to manage and analyze data, implement a formal data strategy. Doing so will lift the burden from already busy supervisory staff. Formal training can also help, as it is a common part of implementing a common data strategy. This training can reinforce additional on-the-job training.
Formal data strategies also improve data consistency and insights. It will also take the guessing work out of the equation for project management and field supervision staff.
Save on Rework
It is important to implement all of these key points in the battle against bad data. It is also healthy for a firm to think of new and innovative ways to fight bad data. Use what makes sense, if something doesn’t work, don’t be afraid to scrap it in favor of something better.
Bad data will only create bigger problems down the line, so implementing decisions to preemptively stop bad data now will help you avoid expensive rework in construction projects.
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