Improve Content Quality
Content quality is at the heart of building information, let’s build quality as high as possible.
The quality of data content is essential for building and construction projects, that's why we created EDocuments platform to free up your team from the chaos that surrounds content creation and focus on content instead. Without reliable information about equipment, materials, designs, models, and plans, it can be difficult to create a successful project that meets all its information requirements.
EDocuments always return to the 3 basic rules for gathering quality data. By taking these steps, design and construction teams can improve the quality of their data content. With the right data in hand, teams can make informed decisions and create successful buildings and construction projects.
- Start with a plan
- Use digital data collection with data standards
- Regularly review your data
Start with a plan.
Before you begin collecting data, lay out exactly what type of information you should be gathering, who should be responsible for providing it, and the timeline for getting it done. This ensures everyone on your team knows their role and can help keep the project moving forward.
Use digital data collection with data standards
Digital tools can help streamline the process and ensure accuracy of information gathered by eliminating manual entry errors.
Develop data standards. Setting consistent guidelines for the type and quality of information you need makes it easier to ensure that all team members are on the same page when collecting data.
Regularly review your data
Reviewing data for accuracy and completeness helps to keep content up to date, which is essential for a successful project. If any discrepancies or missing information is found, make sure to address it right away.
Data audit trail for data quality
Full audit trail to keep track of who did what and why. EDocuments platform includes this as standard.
Key functionality when gathering data is an audit trail, which logs changes made to data content and can be used to trace any discrepancies or issues back to their source. This kind of data quality control helps construction teams identify sources of errors so they can address them quickly and improve the accuracy of their content.
Validation ensures that your data is accurate and reliable.
The next step is to validate the data. Validation ensures that your data is accurate and reliable, so it’s important to use a range of checks and validations to ensure all information is correct. This includes cross-checking data against other sources, running tests on the validity of the data itself, and making sure that any discrepancies are rectified as quickly as possible. By taking the time to double-check your data, you can ensure that all work is completed accurately and efficiently.
Single source of truth
Creating a single source of truth ensures that sites project and containing data are standardised, across the organization. Without a single source of truth, data sets exist in siloes and each project can be poles apart.
The EDocs platform is built on this principle.
