Unlock the Value of Data
Now, more than ever, we want to connect with our community.
Listen as our team of experts, and industry guests, explore the latest in geospatial innovation, data trends, how you can enhance your organisations' data and the latest from 1Spatial.
Episode 7: What is Master Data Management?
In this episode, 1Spatial's CPO Bob Chell and CTO Seb Lessware talk about 1Spatial's take on Master Data Management (MDM). They discuss the definition of it, why it’s central to what 1Spatial do, it’s benefits and how to achieve it.
Episode 6: Exploring ArcGIS Utility Network
In this episode we welcome our partner Esri UK as 1Spatial's Chief Architect Stuart Mitchell talks to their CTO Charles Kennelly about the ArcGIS Utility Network. They explore how it evolved and the potential it unlocks for utilities!
Episode 5: 2D, 2.5D & 3D Data Explained
In this episode, 1Spatial's CPO Bob Chell and CTO Seb Lessware explain the difference between 2D, 2.5D and 3D data and look at some of the use cases that are leading to the rising demand for 3D data.
Episode 4: Introducing Location Master Data Management
In this episode, 1Spatial's CPO Bob Chell and CTO Seb Lessware look back over the history of 1Spatial and introduce Location Master Data Management (LMDM) and how it relates to data quality.
Episode 3: AI - Machine Learning
In this episode, 1Spatial's CPO Bob Chell and CTO Seb Lessware discuss machine learning and where it fits into the spectrum of Artificial Intelligence (AI) techniques. Bob and Seb will cover how we plan to take advantage of this at 1Spatial and some scenarios we have been investigating so far.
Episode 2: Technology Future Trends
In this episode, 1Spatial's CPO Bob Chell and CTO Seb Lessware discuss emerging technology trends in geospatial data management. Seb covers his top three; sensors and mobile devices, machine learning and automation, and cloud services and data economy.
Episode 1: Data Quality
This week's speakers: Bob Chell, CPO & Seb Lessware, CTO explore "What we mean by 'Data Quality' and why it matters."
Data quality is an important part of data governance and means ensuring your data is fit for its intended use.
No data is a perfect reflection of the real world so organisations typically decide what level of quality is acceptable. What is key is to define rules to automate the process of managing data quality, both for master data sources and also when it is supplied to a data portal or hub
Want to know more about Data Quality? Download our Little Book of Data Quality free.