Digital data management

We can support large-scale data management

Data is everywhere and its efficient synthesis into information is key for human and machine interpretation and use. Data may come from written records, speech, existing databases, live sensors or other sources. For effective use in the modern world it must be in some digital format and stored as flat files or in databases. The management of digital data is concerned with:

Reliable acquisition of such data which is free from noise and false information
Filtering and translation of such data into useful information and features
Formatting of filtered data to suit its consumption by people or systems
Compression of data for storage
Set-up of scalable databases which can accommodate large amounts of raw or filtered data over time
Database optimisation for fast querying to deliver results to the user in a time bound manner
Cloud based results delivery portals for end-users
Data safety and integrity
Data archiving systems
User set-up of appropriate thresholds and rules for triggering specific operations
Communication of digital data results to all relevant stakeholders and forming an integrated data warehouse that services all who need such data
Efficient set-up of various data management systems including control, inventory management, asset condition, and so on.

Our expertise includes but is not limited to:

Identifying data silos and inefficiencies in data management chain for improvements within an organisation
End-to-end sensor based digital data management
AI/ML based digital data filtering software
Management of data uncertainty with statistical and computational tools
AI/ML algorithms for converting raw data into useful information
Big data analysis to find trends, outliers and clusters
Set-up of cloud based databases and web-portals for end-user information delivery
Set-up of data archiving systems
For real-time condition monitoring, including sensor networks, data management solutions