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Automatically validate your data

Data validation can be a headache. How do you keep your data current without regular updates? How do you validate your updated data? And, how do you continually keep core data both reliable and accessible?

Our automated, rules-based approach validates data at the point of collection, in the field on a mobile device, or before it is accepted into your database.

It prevents bad data polluting the information required for good decisions.

How data validation improves data governance

Automation of data validation ensures that the subjectivity that can often occur with more manual validation processes is eliminated. Automation provides a much more efficient way to manage data governance, leaving staff the time to focus on the organisation's actual mission.

Automation of data governance rules also ensures that the data will be continually governed now and in the future, as opposed to an individual project to validate and clean up the data at a single point in time. Automation makes data governance a process rather than an event. And when the data validation rules are established to meet the specific expectations of the data required to accomplish the organisation’s mission, decision makers can feel much more confident in the decisions they make, both big and small.

Speak to a data validation expert

For help getting your data into shape and keeping it that way.

Contact Us

Geospatial data validation

Organisations increasingly rely on spatial data, often accessing it in real time to drive decisions from delivery routes to major investment projects.

When your organisation relies on you for reliable data, you need a system that cost-effectively and quickly ensures that the data entering your database conforms with your requirements. Is it accurate, consistent, correct, current and complete?

Our core business is in making geospatially-referenced data current, accessible, easily shared and trusted. We have over 40 years of experience as a global expert; uniquely focused on the modelling, processing, transformation, management, interoperability, and maintenance of spatial data – all with an emphasis on data integrity, accuracy and on-going quality assurance.

We have provided spatial data management and production solutions to a wide range of international mapping and cadastral agencies, government, utilities and defence organisations across the world. This gives us unique experience in working with a plethora of data (features, formats, structure, complexity, lifecycle, etc.) within an extensive range of enterprise-level system architectures.

The 1Spatial data validation approach

Our rules-based data validation approach allows the user to define and manage rules against which all data is tested. The rules are held in a single, central, technology-neutral repository and can be run against new data on demand.

They can run in the background as a surveyor collects new data on the ground, flagging when new entries don’t conform with the requirement. This enables the data to be checked there and then, without the need for costly re-visits.

The rules can also run on batches of data as they are submitted – but before they are added to your core data.

Data can even be fixed automatically, on the fly, based on the same rules so that good data is quickly integrated, and exceptions flagged for manual review.

Our enterprise-wide, cross-platform automation quickly and cost-effectively protects your core data asset, helping to make your data smarter.

Validation using a rules engine

One of the key components of the 1Spatial Platform is our rules-based approach. We use this in a range of our products, for example in 1Integrate, that enables users to collaboratively define and enforce business rules to measure and maintain spatial data quality, all created, tested and released from within a no-code environment. This environment gives us a highly configurable logic-based data validation and manipulation engine based on user-defined rules as well as an Enterprise Metadata Repository that provides a central, unified location for storing ontologies, rules and process definitions as well as an archive of processing results.

Video: Data Validation Using Our Rules Engine

1Integrate is our patented rules engine to automatically validate, correct, transform and integrate spatial and non-spatial enterprise data

Video: Data Validation Using Our Rules Engine

1Integrate is our patented rules engine to automatically validate, correct, transform and integrate spatial and non-spatial enterprise data

Data validation using 1Integrate

With 1Integrate, users can:

  • Define data stores to access data from external data sources
  • Configure schema mapping to specify how the data should be organised
  • Run rule discovery to identify potential rules from patterns in your data
  • Use the rule builder to define rules that apply to your data
  • Define actions to correct data that does not conform to your rules
  • Set up action maps to specify when actions should be applied
  • Define sessions to implement data processing workflows

Examples of validation rules

Rules can be used in a wide range of scenarios, as you look to establish control, consistency and confidence in your data.

  • Powerful spatial and non-spatial rules to easily manage, validate and process data by considering not just individual features but the relationships between them
  • Re-use content of existing rules and actions to speed up the authoring of new rules
  • Apply topology rules for structuring and snapping your data
  • Define rules to create a network graph of your data so you can analyse global connectivity across objects in your data
  • Positional Data Shifting - Shift data to deliver positional accuracy improvements using powerful rule algorithms
  • Define data models with class hierarchy (ontologies) to easily apply rules and re-use existing rules

Case Study

Automation driving safety and efficiency in essential streetworks for Northern Gas Networks

“The ability for our own designers, planners and engineers to generate traffic management plans, at the click of a button, is a potential game-changer for the industry. Working together, Northern Gas Networks combined their technical expertise with 1Spatial’s automation technology to produce this award-winning and innovative system.”

Richard Hynes-Cooper Head of Innovation, Northern Gas Networks
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Download e-book: Little Book of Spatial Data Infrastructure

Find out how to effectively observe, track, maintain and manage data assets within an organisation's lifecycle, harnessing the power of a Spatial Data Infrastructure (SDI).

Download now

Speak to a data validation expert

For help getting your data into shape and keeping it that way.

Contact Us

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