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Geoscience data underpins every major project decision, yet data management remains a critical issue for most organizations.

In this webinar we discuss the highlights from the 2021 Geoscience Data Management Report, focusing on the key insights and data management considerations.

We’ll also present how Seequent solutions can help mediate these challenges, such as:

  • Importance and key challenges of Geoscience Data Management
  • Barriers to Geoscience Data Management success
  • How Geoscience organizations are overcoming challenges
  • Level of readiness to leverage the Cloud
  • Data security & confidentiality

These challenges include ensuring data is securely and consistently stored and managed, while making it accessible, shareable, and auditable.




Stephen Donovan
Central Technical Specialist – Seequent


23 min

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Video Transcript

[00:00:03.970]<v Instructor>Hello and thank you</v>

[00:00:05.340]for joining us today for this webinar.

[00:00:08.270]Within the next 30 minutes or so,

[00:00:10.250]we’ll have the chance to learn about the results

[00:00:12.660]from Seequent’s Biannual Geoscience Data Management Survey,

[00:00:17.460]discuss its implications and how Seequent can assist

[00:00:20.940]in meeting today’s demands of data management.

[00:00:24.800]Data management isn’t just

[00:00:26.640]about collecting and storing data.

[00:00:28.560]It sits at the core of business success,

[00:00:31.040]especially as resources become harder to find,

[00:00:34.040]and infrastructure projects become more complex.

[00:00:37.130]As such, it’s essential that we understand

[00:00:39.340]how we gather, treats, and consume data

[00:00:42.440]to make the most of it.

[00:00:44.063]Seequent’s Data Management Report seeks to provide

[00:00:47.090]the necessary statistical research

[00:00:49.190]to improve exactly this understanding.

[00:00:51.820]And today we’d like to present the findings

[00:00:53.890]of the latest Geoscience Data Management Report 2021.

[00:00:59.150]In today’s webinar,

[00:01:00.260]we’ll be focusing on the importance of data management,

[00:01:03.360]why it matters and the root causes for mismanagement.

[00:01:07.240]We’ll then look at the most pertinent results

[00:01:09.350]from the survey and discuss recognizable trends.

[00:01:12.630]We will also discuss other main challenges

[00:01:14.910]that were highlighted,

[00:01:16.390]and what forward thinking is currently

[00:01:18.030]being employed to compensate.

[00:01:20.680]And lastly, we’ll showcase what Seequent has learned

[00:01:23.330]from your shared information over the years,

[00:01:25.890]and what we can bring to the table,

[00:01:27.410]not only to meet today’s challenges in data management,

[00:01:30.600]but solutions that are fit for the future.

[00:01:36.400]Let’s get started by setting the scene.

[00:01:38.720]Why does it matter?

[00:01:39.910]Why is data management such a great importance to us all?

[00:01:46.190]As we all know, geoscience data,

[00:01:48.460]whether collected in the field, in the lab,

[00:01:50.810]or even through intellectual exchange between experts,

[00:01:54.300]underpins every major decision made on a project.

[00:01:58.310]But to be able to make a robust decision

[00:02:00.520]that provides security and longevity to our organizations,

[00:02:04.480]we need to ensure that data transparency

[00:02:07.410]and an uninhibited real-time flow of information

[00:02:10.750]that allows the entire team,

[00:02:12.080]whether made up of three or 300 members acts as a unit.

[00:02:18.590]To achieve this ideal case scenario,

[00:02:21.670]a number of prerequisites need to be met.

[00:02:24.920]For example, all data needs to be consistently accessible,

[00:02:28.240]no matter where stakeholders are,

[00:02:30.950]particularly in today’s work environment.

[00:02:33.310]This aspect is more important than ever.

[00:02:36.010]The data needs to exists in a singular place,

[00:02:39.410]and everyone has the single access of the truth.

[00:02:42.770]To build that holistic model,

[00:02:44.520]we all need to understand that data is contextual.

[00:02:48.400]Each geoscientific group views

[00:02:50.390]and utilizes raw data differently,

[00:02:53.460]and we need to be able to trace data from its origin

[00:02:56.240]throughout its transformation process.

[00:02:59.010]And finally, every stakeholder

[00:03:00.810]needs to have access to the team,

[00:03:02.800]to each other’s thought processes,

[00:03:04.650]and expertise to collaboratively analyze

[00:03:07.850]iteratively refine analytical results,

[00:03:10.690]or a holistic model,

[00:03:12.320]and then take the next steps together.

[00:03:17.980]Of course, our projects evolve over time,

[00:03:20.220]which heavily influences the why

[00:03:22.160]and how business decisions are made.

[00:03:24.600]Business requirements, budgets, immediate needs,

[00:03:27.700]everything varies dramatically

[00:03:29.220]throughout the life cycle of a mine,

[00:03:31.240]or a railway project, or weld development, etc.

[00:03:35.640]Nevertheless, at the foundation of it all,

[00:03:37.780]remains the raw data

[00:03:38.913]upon which the decision-making process relies.

[00:03:42.370]Therefore, we don’t only have to make sure

[00:03:44.250]that the data transparency is maintained

[00:03:46.330]within a single project,

[00:03:48.210]but continuously throughout the life cycle of that project.

[00:03:52.500]This means that data management

[00:03:53.900]needs to become a coordinated process

[00:03:55.960]between multidisciplinary groups involved over time.

[00:04:00.710]This is not an easy task with many moving parts,

[00:04:03.290]and so we’re curious how do you do it?

[00:04:06.780]What are the challenges involved?

[00:04:09.100]And what would your ideal case scenario be?

[00:04:12.970]This is what data management report addresses

[00:04:15.400]and wishes to summarized for the geoscience community.

[00:04:20.630]All right, so let’s discuss the findings

[00:04:22.880]of Seequent’s Geoscience Data Management Reports 2021,

[00:04:26.780]and identify the most pertinent survey results and trends.

[00:04:33.400]To give you a little bit of background,

[00:04:35.180]the Geoscience Data Management Report

[00:04:37.270]was initially published in 2011 by Geosoft

[00:04:40.270]to take the pulse of the industry,

[00:04:42.130]and learn how data shapes the lives of professionals

[00:04:44.980]in a variety of sectors.

[00:04:48.470]Being the only primary research document

[00:04:50.650]on geoscience data management,

[00:04:52.660]Seequent continued the legacy of the report,

[00:04:55.170]and we’re now proud to publish its fifth edition.

[00:04:58.410]Before we go ahead though and jump into the results,

[00:05:01.220]we at Seequent would like to express our gratitude

[00:05:03.610]to the 709 participants around the globe

[00:05:06.320]who volunteered the time to contribute to this report.

[00:05:09.840]Your voice and expertise is essential to understanding

[00:05:12.550]how we all currently interact with data,

[00:05:15.550]and learning where the pitfalls are,

[00:05:17.930]and where we need to contribute

[00:05:19.580]to meet today’s demands on data management.

[00:05:23.810]Let’s have a look at who exactly provided the data

[00:05:26.500]of our report and the subsequent findings.

[00:05:29.810]When looking at the participating industries,

[00:05:32.150]the dominant portion of the respondents

[00:05:34.440]identifies as members of the mining industry.

[00:05:37.420]Nevertheless, the remaining 28%

[00:05:39.550]cover a wide field of adjoining industries,

[00:05:42.760]including civil engineering, energy exploration,

[00:05:46.350]and environmental monitoring.

[00:05:49.040]Within these industries the roles vary,

[00:05:51.510]from geologists logging on the rig,

[00:05:53.320]or collecting valuable mapping data in the field,

[00:05:55.910]to resource estimation, exploration planning,

[00:05:59.090]and geophysical processing.

[00:06:01.260]We have a wide representation of numerous jobs

[00:06:03.630]that all rely on data confidence.

[00:06:06.570]Geologists accounted for 50% of the survey responses,

[00:06:09.920]with an additional 28% working in geophysics

[00:06:12.570]or other geoscience roles.

[00:06:14.830]Engineers accounted for 10% of responses,

[00:06:17.720]and the remaining 12% was represented by executives,

[00:06:20.770]managers, owners, teachers, researchers, students,

[00:06:24.990]and other data project management professionals.

[00:06:29.000]Overall, the distribution of industries and roles within,

[00:06:31.690]provide us with a multifaceted cross section

[00:06:34.190]throughout the geoscience community.

[00:06:37.010]What they all have in common though,

[00:06:38.420]is the need for up-to-date, complete data sets

[00:06:41.530]that make a timely adjustments

[00:06:43.060]to interpretations and designs

[00:06:45.500]to arrive at their robust and safe decisions,

[00:06:48.840]thus ensuring safety and longevity of their business.

[00:06:53.730]Here are some of the most important issues ranked

[00:06:55.840]from this year survey as compared to 2017.

[00:06:59.420]83% of respondents stated that data management

[00:07:02.360]is a critical issue for their organization,

[00:07:05.140]this has remained consistent since 2017.

[00:07:08.670]We all know it’s important,

[00:07:10.130]yet it’s still a challenge for most of us.

[00:07:13.170]In this slide we see what you have defined

[00:07:15.550]as the most desired outcomes

[00:07:17.050]from resolving data management issues,

[00:07:19.450]ranked from top to bottom.

[00:07:20.930]The survey identified that 33% of participants

[00:07:25.350]wish to get the full value of the data.

[00:07:29.020]This desire is a little lower than in previous years

[00:07:31.820]as the technology and use of skills consistently improve

[00:07:35.140]to address the concern.

[00:07:37.270]However, it’s still at the top of the list

[00:07:39.060]and highlights data is not accessible

[00:07:40.860]in a format that delivers value.

[00:07:43.760]Another major desire is to have

[00:07:46.020]one point of access to the data,

[00:07:48.620]and to be able to work from a single source of truth.

[00:07:52.080]Most likely, the dramatic increase from 13 to 25%,

[00:07:55.810]is directly related to the shift

[00:07:57.470]in our global remote-working culture

[00:07:59.590]in response to COVID-19.

[00:08:02.270]The third most important desired rank at 16%,

[00:08:06.129]2% higher than in previous years,

[00:08:08.450]relates to the preservation of data.

[00:08:11.050]This refers directly to the safekeeping, accessibility,

[00:08:14.680]and/or the stability of vision-controlled information.

[00:08:18.590]Our desires of the increased accessibility

[00:08:20.690]for reporting and investment in traction,

[00:08:23.300]improved discovery rates,

[00:08:25.330]and a quick return on investment for our businesses.

[00:08:29.160]Okay, let’s address the top three ranked desires,

[00:08:32.070]and learn the reasons behind these issues at hand

[00:08:35.070]and some potential solutions.

[00:08:40.270]33% of respondents stated that they spent

[00:08:43.270]greater than 30% of their time on data management tasks,

[00:08:47.080]such as locating a file, changing its format,

[00:08:49.680]or ID to make it a fit for purpose.

[00:08:53.950]That’s over 500 working hours a year.

[00:08:56.680]Your time is precious and even a small win here

[00:08:59.210]can have a huge ramifications

[00:09:00.750]when you add that all together.

[00:09:03.380]The fact that nine out of 10 respondents agree

[00:09:05.850]that they are struggling to access data

[00:09:07.490]within their organization easily,

[00:09:09.550]suggest there’s room for greater efficiency

[00:09:12.080]within the data management by improving ease of access.

[00:09:16.520]But what is the underlying problem?

[00:09:18.730]Why is it that highly-trained geoscience professionals

[00:09:21.360]end up spending most of their day on data management?

[00:09:24.780]Let’s have a look at the data

[00:09:26.030]and what it is we’re actually collecting.

[00:09:31.960]One of the main issues is the fact that modern technology

[00:09:35.190]allows for big data to be collected fast,

[00:09:38.480]massive quantities of data are produced on a daily basis

[00:09:41.780]and need to be assessed for its quality.

[00:09:44.840]This process of quantification

[00:09:46.560]and quality assessment is shown here

[00:09:48.490]in the data management analytical funnel,

[00:09:51.150]where we have the task of making the data usable

[00:09:53.960]and valuable through refinement,

[00:09:56.100]structuring, and linking together.

[00:09:59.540]Only when this enhanced process is carried out,

[00:10:02.080]can the subsequent analytical results bear a benefit

[00:10:04.860]to the company or the individual.

[00:10:08.220]However, this is a big task,

[00:10:09.800]and the issue lies at the origin

[00:10:11.520]and the common types of data collected.

[00:10:16.660]Most geoscientific data is collected

[00:10:18.650]in an unstructured format.

[00:10:20.700]This includes common files relating to geological,

[00:10:24.370]geophysical, or geo-technical models,

[00:10:27.320]engineering files, maps, and images.

[00:10:30.570]Ready to relink information directly

[00:10:32.800]with a searchable identifier such as a drillhole ID,

[00:10:36.060]classified survey, or pinpointed sensor information

[00:10:39.300]that is collected by a dedicated system.

[00:10:42.340]As such, we’re faced with the ever-growing mountain of data

[00:10:45.800]that does not actually aid in the creation of knowledge.

[00:10:49.020]In fact, it becomes an inhibitor,

[00:10:50.690]as geoscientists are pulled away

[00:10:52.360]from the job they were trained to do.

[00:10:56.780]Since 2017, there’s been a significant 12% increase

[00:11:00.300]in respondents wanting a one-point of access for the data,

[00:11:04.090]a single source of truth,

[00:11:05.670]from which all collaborating team members can operate.

[00:11:09.830]This isn’t that surprising,

[00:11:11.100]particularly considering the current circumstances

[00:11:14.040]and staff members working remotely.

[00:11:19.120]For many of us working remotely

[00:11:20.850]has only exasperated the challenges

[00:11:22.800]to have access to the right data at the right time.

[00:11:26.490]Everyone needs to work from a single source of truth,

[00:11:29.430]but more often than not,

[00:11:30.640]the data is scattered over multiple servers,

[00:11:33.240]external hard drives, computers, and even in people’s minds.

[00:11:37.820]This in turn, leads to projects

[00:11:39.550]developed on the basis of incomplete data,

[00:11:42.220]or the complete loss of information in company knowledge.

[00:11:45.780]No wonder we’re spending 30% of our time on data management.

[00:11:50.170]This is a problem as vital information

[00:11:52.010]is inaccessible when needed,

[00:11:53.650]or available in a format

[00:11:54.920]that doesn’t suit the needs of the modelers.

[00:11:57.370]In a situation such as this,

[00:11:58.850]the modeling process is highly inefficient,

[00:12:01.420]and overall production suffers,

[00:12:03.750]time and money is lost.

[00:12:07.210]What’s needed to overcome the issue

[00:12:09.040]is the collection of data with a single,

[00:12:11.300]highly-accessible, and safe environment.

[00:12:14.770]Creating data is a costly endeavor,

[00:12:16.670]and to ensure a proportional return on the company

[00:12:19.710]through the analysis of a robust decision-making process,

[00:12:23.140]the data needs to be available in a structured format,

[00:12:26.180]only then can it be easily found, organized,

[00:12:29.010]and integrated into geological interpretations.

[00:12:36.620]The third most quoted desire is the preservation of data,

[00:12:40.470]but what data is worth keeping

[00:12:42.050]and contributes to the audit trail?

[00:12:44.870]40% of all survey participants attested

[00:12:47.580]that when collaborating in a team environment,

[00:12:50.130]the biggest challenge is to maintain

[00:12:51.670]the correct version of the data.

[00:12:54.360]Quite frequently, unmanaged file and model versions,

[00:12:57.640]clutter the server or cloud space.

[00:13:00.000]In consequence, it is possible

[00:13:02.930]that work is done based on the wrong information,

[00:13:05.650]resulting in major losses both in terms of time and money.

[00:13:10.290]This issue can be mitigated

[00:13:11.850]through dedicated naming conventions

[00:13:14.760]and agreed archiving processes.

[00:13:17.510]However, the best results are shown

[00:13:19.240]through the employment of software solutions

[00:13:21.530]with a built-in version control tracking.

[00:13:25.950]In addition to the most desired outcomes,

[00:13:28.710]the report also outlines the most common challenges

[00:13:31.530]experienced in geoscience data management,

[00:13:34.800]and what forward thinking is being employed

[00:13:36.970]to overcome them.

[00:13:39.340]60% of all participants

[00:13:41.180]ranked data security and confidentiality

[00:13:43.810]of the highest importance in data management.

[00:13:46.670]And the topic was consistently ranked

[00:13:48.430]at the top two challenges across all roles and industries.

[00:13:52.540]The only exception here is the environmental industry,

[00:13:55.380]which regards to their dependency

[00:13:56.800]on knowledge a superior issue.

[00:14:00.660]Robust geoscientific data

[00:14:02.460]can provide companies with competitive edge

[00:14:05.250]in a number of different business scenarios,

[00:14:07.860]including consulting, as well as selling

[00:14:10.180]and acquiring assets.

[00:14:12.320]As such, the essential information

[00:14:14.040]needs to be effectively safeguarded.

[00:14:16.620]In accordance with the need

[00:14:17.810]for data preservation and management,

[00:14:19.910]69% of respondents stated their readiness

[00:14:22.880]to leverage the cloud technology

[00:14:24.720]for geoscientific data management.

[00:14:27.770]This is an increase of 14% since 2017,

[00:14:31.490]and it shows a significant shift in mindset

[00:14:33.530]regarding the storage of data in an external facility.

[00:14:37.540]While security is still considered a challenge by most,

[00:14:40.760]and performance through connectivity and cost,

[00:14:43.320]the dominant portion of participating industries

[00:14:45.570]felt that need a best match

[00:14:47.610]through the cloud-developed systems.

[00:14:50.240]This is particularly true for the civil industry

[00:14:53.060]that states at a level of readiness at 74%.

[00:15:00.440]Over 50% of participating organizations

[00:15:03.160]stated that they are currently using

[00:15:05.240]or considering data practices,

[00:15:07.280]such as data science scripting, machine learning,

[00:15:10.330]artificial intelligence, and advanced analytics.

[00:15:13.970]The inclusion of these tools can vastly improve

[00:15:16.680]not only the management of geoscientific data at this time,

[00:15:20.060]but provide the means to extract trends,

[00:15:22.450]predict unforeseen data dependencies

[00:15:25.090]that can translate into pathfinders,

[00:15:27.330]and identify new ways to develop a competitive edge.

[00:15:33.710]So finally today, let’s talk about the Seequent’s solution

[00:15:36.730]and where we’re headed.

[00:15:38.320]The data that we gained

[00:15:39.390]through this Geoscience Data Management Report

[00:15:42.790]it’s invaluable for us at Seequent.

[00:15:45.610]We’re a software company that builds a solution

[00:15:48.020]for the geoscience community,

[00:15:49.950]and it’s our mission to enable you to make better decisions

[00:15:53.130]about the Earth environment and energy challenges.

[00:15:56.930]With this mind, I’d like to introduce you

[00:15:59.570]to the Seequent ecosystem, Seequent Evo.

[00:16:07.120]So, what do we mean by an ecosystem?

[00:16:10.010]Well, when we speak about cloud technology,

[00:16:12.660]we’re used to terms like platform and software as a service,

[00:16:17.060]but an ecosystem is a living and complex network

[00:16:20.300]of interconnected parts.

[00:16:22.310]And that’s exactly what Evo aspires to be,

[00:16:25.300]a living ecosystem that evolves over time,

[00:16:28.370]meet your personal needs

[00:16:30.320]as more than just the sum of its parts.

[00:16:36.790]Now, how did we develop Seequent Evo and who’s involved?

[00:16:40.997]Well, Seequent is a Microsoft partner and our technology

[00:16:44.060]sits within the Microsoft Azure cloud environment.

[00:16:47.860]Within this environment,

[00:16:49.430]we offer a highly available solution

[00:16:51.610]with replication and fall-overs in place.

[00:16:54.780]So in the event of an issue,

[00:16:56.170]you can be sure you have access to your data

[00:16:58.830]when you need it with minimum risk of downtime.

[00:17:02.940]Our cloud environment has regular backup schedules

[00:17:05.340]taken every 15 minutes for incremental backups,

[00:17:09.290]followed by a fortnightly backup.

[00:17:11.810]And we’re also planning to integrate Seequent ID

[00:17:14.060]into Microsoft Active Directory in 2021.

[00:17:20.740]So, how does it work?

[00:17:22.410]We already have the foundations of the Seequent ecosystem,

[00:17:25.890]it’s made up of our desktop applications,

[00:17:28.540]cloud applications and micro-services.

[00:17:32.730]You can think of our current offering

[00:17:34.770]as the building blocks towards the future,

[00:17:37.750]and it all sets at the foundation of a Seequent engine.

[00:17:42.170]All of these parts will be interoperable

[00:17:44.950]and linked across a common user identity

[00:17:47.050]which is Seequent ID.

[00:17:49.590]Seequent is also developing a set of micro-services

[00:17:52.630]or micro-capabilities in the cloud.

[00:17:55.000]These are all accessible through an API layer,

[00:17:57.730]and some of these services have already been built,

[00:18:00.080]such as web visualization, notifications, and the data room.

[00:18:05.560]So our plan for 2021

[00:18:08.220]on these micro-capabilities are access

[00:18:09.947]the Rn API layer to the core desktop solutions.

[00:18:14.010]We’re creating an ecosystem of capabilities

[00:18:16.280]that is open, integrated, and accessible,

[00:18:19.320]with a vision to partner with other software providers.

[00:18:26.310]Seequent Central is an example

[00:18:28.020]of how Seequent Evo’s capabilities are bundled together,

[00:18:31.650]and offered as a solution that can actively link

[00:18:34.350]to our desktop products such as Leapfrog and Oasis Montaj.

[00:18:38.660]Central is available now and represents a prime solution

[00:18:41.970]for data and model management,

[00:18:44.310]that addresses the desires

[00:18:45.590]and challenges highlighted earlier on.

[00:18:48.790]So what is Central exactly?

[00:18:52.830]The vision of Central is to bring

[00:18:54.180]the geoscience teams together onto a single platform

[00:18:57.690]where we can seamlessly communicate

[00:18:59.410]and collaborate on models,

[00:19:01.160]keeping the conversation in a central location,

[00:19:04.080]alongside your data and your models.

[00:19:06.570]It’s not just about the Seequent solution coming together,

[00:19:09.720]but we want to incorporate your whole team,

[00:19:11.500]including partners and partners’ data,

[00:19:13.730]reviewed as managers and other stakeholders.

[00:19:18.160]The most significant shift recorded

[00:19:20.010]in the Geoscience Data Management Report

[00:19:22.500]refer to the increased desire to work

[00:19:24.370]from a single source of truth,

[00:19:26.800]this is the key point that Central addresses.

[00:19:29.680]Central is a cloud-hosted solution

[00:19:31.610]that helps you and your extended team

[00:19:33.740]not only organize and store data in a single place,

[00:19:36.870]but intuitively version control,

[00:19:38.710]both your lead program models and project specific files.

[00:19:43.120]The system supports quick access to data

[00:19:45.510]through incremental uploads and downloads,

[00:19:48.160]and allows even poorly connected team members

[00:19:50.360]to be fully immersed.

[00:19:52.350]As soon as new dates or models are added,

[00:19:54.600]Central tracks these changes making it easy

[00:19:57.100]to understand the evolution of a project

[00:19:59.500]and aging in the audit trail.

[00:20:02.240]The cloud-hosted system also supports the notion

[00:20:05.200]that exchanges between team members

[00:20:08.130]becomes part of the version control.

[00:20:10.550]The best decisions are made not only

[00:20:12.210]when we’re informed in real time,

[00:20:14.380]but we have access to past discussions.

[00:20:18.200]Therefore, we’ve already outfitted Central

[00:20:20.860]with interactive notifications, ad mentions,

[00:20:23.640]and 3D web visualization

[00:20:25.840]to make teamwork an effective exercise.

[00:20:30.920]In addition to sharing knowledge,

[00:20:32.490]Central’s also about integrating the project files

[00:20:36.260]and modeling objects across different desktop solutions,

[00:20:39.360]such as Leapfrog and Oasis Montaj,

[00:20:42.210]which makes it possible for the entire team

[00:20:44.350]to leverage of each other’s work

[00:20:46.340]without having to reinvent the wheel.

[00:20:49.510]In combination, Central provides the means

[00:20:51.850]for a team to work efficiently

[00:20:53.560]and productively in a secure environment.

[00:20:57.310]But how exactly does Central address the security concerns?

[00:21:03.582]One of the biggest concerns

[00:21:04.870]that the Geoscience Data Management Report highlighted

[00:21:08.200]was security of data in the cloud.

[00:21:11.200]While most organizations showed a distinct readiness

[00:21:13.930]to move to the cloud,

[00:21:15.530]there are open questions that we’re happy to discuss.

[00:21:19.030]As mentioned earlier, Seequent alliance

[00:21:20.590]with Microsoft Azure is industry

[00:21:22.130]best practice in data security.

[00:21:24.850]Our data management solution is built

[00:21:26.610]on a secure server with encrypted traffic,

[00:21:29.650]virtual networks to keep your data safe and secure.

[00:21:33.530]Only you have access to your data,

[00:21:35.790]as well all the customers have their own dedicated database,

[00:21:39.660]storage accounts, and suite of services,

[00:21:42.420]which are independent from other customers.

[00:21:44.670]Regular security testing is performed on the Seequent side,

[00:21:48.960]and within Central itself only a dedicated administrator

[00:21:52.130]has the capability of providing licenses and project access,

[00:21:57.150]ensuring that all stakeholders

[00:21:59.100]see what they’re supposed to see.

[00:22:05.500]There’s only one point left that we haven’t discussed yet,

[00:22:07.840]and that’s how to get the full value from your data.

[00:22:10.830]For one, every company and project is unique.

[00:22:13.900]And while we have ready-to-go bundles such as Central,

[00:22:17.920]the solution might not necessarily fill.

[00:22:20.230]Trough Seequent Evo, you have the capability

[00:22:23.060]to create your very own ecosystem that suits your needs,

[00:22:26.240]and the now that provides you with the means

[00:22:28.260]to evolve in the future.

[00:22:30.950]When the time comes to get more value from your data

[00:22:33.470]through greater interoperability

[00:22:35.450]and advanced analytical methods,

[00:22:37.720]we’ll be there to evolve with you

[00:22:39.020]and provide solutions to meet

[00:22:40.440]the geoscience data management challenges of tomorrow.

[00:22:45.930]Thank you very much for joining me today in this webinar,

[00:22:48.840]if you haven’t already done so,

[00:22:50.360]I’d recommend you go to that link listed on the slide here,

[00:22:53.110]and download the Geoscience Data Management Report

[00:22:55.710]and read it in full.

[00:22:57.750]And if you want to learn more

[00:22:58.740]about Seequent Central solutions,

[00:23:01.610]feel free to contact your local Seequent office,

[00:23:04.700]and we’ll be more than happy to discuss that with you.

[00:23:09.270]Thank you very much.