Data Integration and Conflation
Moving to a single source of spatial truth
Spatial data is increasingly important for competitive advantage. But, that data is frequently held in different places, in different formats and with different degrees of accuracy.
Organisations need a single source of spatial truth, a central data set they can trust.
Data integration, or conflation, takes the best of every data set and combines it into a consistent and reliable whole data set.
Automated data integration contributes to $5 billion saving for US Census
“This is a large, complex and mission-critical spatial database that is growing at 10-15% annually. There are huge demands from the user community for spatial and temporal accuracy and quality, together with stringent processing deadlines. We believe that 1Spatial’s solution will meet our expectations to build an agile, service-orientated architecture, whilst reducing our storage requirements.”Geography Division Chief | US Census Bureau
A single source of spatial truth
Data integration lets you re-use existing data investments by matching disparate data sets and taking the best of each.
Even when your data is from different sources, in different formats, at different accuracy levels and collected over different periods of time, our powerful matching technology can help you create a single, central and authoritative database.
Data from departmental silos, from large groups of partner organisations or from third parties can be extracted and combined by automatically applying user-defined and user-managed rules.
Rules-based automation dramatically reduces the time and cost of integration. It turns data integration from a major, annual project into an easy, ongoing process ensuring your data is always as current as possible. These rules can also calculate a per-feature confidence score to allow users to review the results.
Our automation can also validate the data or fix common errors during integration, speeding up the time it takes to trust your data and build organisational confidence.
For help getting your data into shape and keeping it that way, please contact us.
The Little Book of Spatial Data Management
In our free Little Book of Spatial Data Management, we look at how effective stewardship is essential to maintain the value of your geospatial data and how a consistent, repeatable, rules-based process can dramatically reduce the cost and complexity of data management.ADD