Four big concerns about data are usually: how to store more (capacity), how to make it useful in multiple systems (interoperability), how to use the data you have (access), and how to interpret it (insights).
Gone are the days when data management was just about storage capacity—we can store huge amounts on individual servers, hard drives, and external thumb drives. But then tracking down or sharing the latest file version gets tricky.
There are lakes of data out there, but how do we access it?
And what format is that data in? Is that format the most commonly used in the industry? Do you have to convert it before you can import it? You end up wasting critical thinking time before you’ve even started instead of using that time to apply valuable insights to the data.
Thankfully, we can now store infinite bytes of data in the Cloud and see when each file is updated.
Seequent Central answers all the big concerns of how teams store, access, use, track, and extract meaningful insights from their data.
Is Seequent Central also part of your critical infrastructure?
The Central Data Room allows for the upload of any file no matter its size or format. Through this functionality all team members, whether they are Seequent software users or not, can work on one, reliable, single source of truth together. All managed in the Cloud.
Geoscience teams collect thousands of points of data – be it geological or geophysical – which they must then turn into a reliable picture on which multi-million dollar decisions depend (or are staked). It’s a waste of their time to be endlessly searching directories for the latest version and emailing files across time zones.
What Central does best is provide a level of data connectivity that is fully operationalised, resulting in productivity gains across sites, projects, and teams.
Geoscientists can continually iterate and update models enabling them to react and make decisions based on the most up to date data. Work on the current model, upload only the changes you make and interact with your team in real-time.
This completely changes the way we’ve always worked. There is only one version and changes get tracked as the model is updated, recording the team’s history of discussions and decisions.
Models become a dynamic timeline of progress, instead of a static representation of a moment in time. Teams collaborate and build a model based on their collective insights, and can spend less time concerned with managing data.
James Lawton, Seequent’s Chief Technology Officer notes:
“Through investment in better technology and data infrastructure, companies can better store, access and ultimately use their geoscience data more effectively, increasing both productivity and geological understanding.”
