The Fundamentals of Good Data Management

Take cost-effective control of your data throughout its lifecycle

Data management, or stewardship, is the process of ensuring that an organisation’s data meets its requirements for accuracy, currency and compliance with standards.

Effective management covers the entire data lifecycle from inception to obsolescence and generally follows the three C’s of data management: Control, Consistency and Compliance.

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

 

What is data management?

Take cost-effective control of your data throughout its lifecycle. Data management, or stewardship, is the process of ensuring that an organisation’s data meets its requirements for accuracy, currency and compliance with standards. Watch our short video by Seb Lessware, Senior Product Manager, 1Spatial answering the question – What is data management?

Why is good data management difficult to achieve?

Data management must be a continual process to be effective. Your data is constantly changing (through data edits or bulk import of new data), as is the world it represents. Tasks like data cleansing cannot be effective as a one-off project. Watch our short video by Seb Lessware, Senior Product Manager, 1Spatial answering the question – Why is good data management difficult to achieve?

What is 1Spatial’s approach to data management?

We believe that effective data management is best achieved through user-controlled, enterprise-wide automation. Our technology is designed to manage complex, multivariable rules on data, irrespective of size. Watch this short video by Seb Lessware, Senior Product Manager, 1Spatial answering the question – What is 1Spatial’s approach to data management?

Data Maintenance

Keeping spatial data up to date and accurate on a day-to-day basis, right across its lifecycle, can seem a major task. Watch this short video by Seb Lessware, Senior Product Manager, 1Spatial describing what Data Maintenance is and how automating the process ensures your data is always in a known state and ready to use.

Data Migration and Transformation

Migrating mission-critical data to a new system needn’t be a nightmare. Transforming your data assets to comply with new standards like INSPIRE doesn’t need to be an expensive, time-consuming project. Watch this short video by Seb Lessware, Senior Product Manager, 1Spatial describing what Data Migration and Transformation is and how our intelligent, automated solutions make migration a controlled, repeatable and traceable process.

Data Inference

Incomplete data seriously hampers an organisation, yet it’s surprisingly common. Business needs change, regulatory requirements evolve. Sometimes, you simply inherit partial and fragmented data. Watch this short video by Bob Chell, Head of Consulting, 1Spatial describing what Data Inference is and how we can help organisations leverage the data they do have, along with the knowledge of their experts, to determine – or infer – what’s missing in their data.

Data Integration

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. Watch this short video by Bob Chell, Head of Consulting, 1Spatial describing what Data Integration, or Conflation is and how it takes the best of every data set and combines it into a consistent and reliable whole data set.

What are the benefits of good Data Management?

Using enterprise-wide, cross-platform automation, we make data management a consistent, repeatable, rules-based process that dramatically reduces the cost and complexity of data management. Watch this short video by Seb Lessware, Senior Product Manager, 1Spatial answering the question – What are the Benefits of Good Data Management?

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?

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