Data ManagementMaintaining Quality and Truth
Data management is about ensuring that when different data types are aggregated together, data integrity and quality are maintained. Believe it or not, not all data is equal. We need to understand how it was acquired, how it was processed and how it is aligned with the real-world. We also need to understand how old it is and whether it still reflects the current built environment. Once we understand the origin and quality of the data, we can work out the best way to bring it together so that it creates a single source or truth – DMaaS.
Reality capture involves choosing the ideal imaging method pivotal for project success.
Visualisation of data to provide the right user experience to make assessment and decisions.
Data analytics and insights created via manual assessment, machine learning or artificial intelligence.
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