The Fundamentals of Good Data Quality

Make your data fit for purpose

Making your spatial data fit for its intended use is central to effective data stewardship.

To achieve this you first need to be clear about what “fit for purpose” means in your specific context.

Our approach is designed to help you discover and precisely define your data quality requirements, to check how your data conforms to those requirements, and then to cost-effectively bring your data up to standard.

Watch the below series of short videos by Seb Lessware, Senior Product Manager and Bob Chell, Head of Consulting, 1Spatial.

 

What is data quality?

Make your data fit for purpose. Making your spatial data fit for its intended use is central to effective data stewardship. Watch our short video by Bob Chell, Head of Consulting, 1Spatial answering the question – What is data quality?

Why is good quality data difficult to achieve?

No data is a perfect reflection of the real world so organisations typically decide what level of quality is acceptable. The key is understanding what you need. Watch our short video by Bob Chell, Head of Consulting, 1Spatial answering the question – Why is good quality data difficult to achieve?

What is 1Spatial’s approach to data quality?

We can work with you to suit your operational needs and requirements. We can provide our solutions and expertise as a service approach or alternatively you can use our tools yourselves. Either way we start with a detailed Data Quality Assessment. This includes a data discovery process that defines precisely your data requirements. Watch our short video by Bob Chell, Head of Consulting, 1Spatial answering the question – What is 1Spatial’s approach to data quality?

Data Validation

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? Watch this short video by Seb Lessware, Senior Product Manager, 1Spatial describing what Data validation is and how to automatically validate your data.

Data Cleansing

Clean and correct your data automatically. Understanding the condition of your data is important, but fixing it is vital. Poor data quality can mean bad business decisions and requires a time-consuming, expensive and often manual project to put it right. Watch this short video by Bob Chell, Head of Consulting, 1Spatial describing what Data Cleansing is and how our approach to this challenge is different.

Data Enrichment

Data enrichment releases greater value from existing data investments, by combining the best parts of different datasets to create something new. Watch this short video by Seb Lessware, Senior Product Manager, 1Spatial describing what Data Enrichment is and how to maximise the return on your existing data investments.

What are the benefits of good quality data?

Making your spatial data fit for its intended use is central to effective data stewardship. Watch this short video by Bob Chell, Head of Consulting, 1Spatial answering the question – What are the benefits of good quality data?

FREE Sample Data Audit

Is your data ready for publishing, for integration with other datasets, or for sharing with others?

Are you working on a project where you need to:

  • meet regulatory requirements
  • overcome migration challenges
  • create a data strategy that supports your business objectives.

Wouldn’t it be great if you could confidently give your data a quality audit stamp of approval before it is released?

Request a free sample data audit