6
business – some obvious examples being in predictive asset
management and supply chain optimization. It is time
that Resource Governance data, analytics technologies and
experience be applied to the critically important topic of
Resource Governance.
Construction of a central source of all Resource
Governance information creates opportunities for advanced
analytics techniques to provide 360-degree views of land
holdings, obligations, and stakeholders. The following sec-
tions explain the vision of what could become a new para-
digm in Resource Governance.
360-Degree View of Land Holdings
For each geospatial land area, managers of a mining com-
pany can have a complete and proactive view of obligations,
risks, stakeholders, milestone dates, who is working where,
status of permits to work, no-go zones, points of conflict,
points of intersection and impacts on operational sched-
ules. Changes in the status of any of these dimensions can
automatically trigger notifications to the right people to
review the new conditions and take necessary steps.
360-Degree View of Obligations
For each obligation a mining company will be able to see
a complete picture and proactively manage all stakehold-
ers involved, workflows and approval chains, compliance
risks, points of leverage, points of similarity to other obliga-
tions, which allows for operational efficiency in meeting all
obligations. Managers could have access to a continuously
updated, comprehensive dashboard showing high priority
risks, due dates, and stakeholder concerns. Additionally,
using advanced analytics, managers will be able to track
trends that could lead to noncompliance as well as track
trends that reveal emerging opportunities to create value.
360-Degree View of Stakeholders
For each stakeholder it should be possible to see a complete
picture of obligations, approvals, emerging issues, opportu-
nities to negotiate and ways to combine and leverage com-
mercial arrangements.
For stakeholders a self-service portal could be estab-
lished that allows them to be fully informed, which has the
added benefit of reducing the burden on the mining com-
pany of serving those stakeholders in answer to requests for
information. This might include:
• Status of agreements,
• Due dates, what is coming up or overdue,
• What is the stakeholders’ net position with the min-
ing company, and
• Provide auditable 2-way communication channels.
Analytics
Descriptive analytics would typically include things like:
• Dashboards and reports,
• Analysis of historical data on lease expiration, dis-
putes, renewals, etc.
• Analysis of heritage non-compliance, and
• Analysis of frequency, duration, and success rate of
permit applications.
Predictive analytics might extend this further to include:
• Time series forecasting,
• Churn prediction,
• Predictions of environmental impacts of proposed
activities,
• Proactive management of expiration of tenements,
permits and disputes,
• Proactive estimation of likely timeframes for gaining
permits based on past performance, and
• Forecasting potential heritage risks for future mining
activities.
• Prescriptive analytics might include the following:
• Supply chain performance and sustainability,
• Ethical investment guidance,
• Community engagement,
• Regulatory compliance strategies,
• Risk management strategies, and
• Tailored engagement strategies for stakeholders.
All the above transformational use-cases are predicated
on a common understanding and management of Resource
Governance data, an appropriate data ontology, and a stan-
dardized means of leveraging the data (these would typi-
cally be provisioned by API’s (Application Programming
Interfaces) and/or a Data Access Layer).
CONCLUSION
In this paper we have established a definition of Resource
Governance as the conjunction of environmental, social
and minerals governance, then outlined a vision for a holis-
tic systems approach to Resource Governance that embraces
the full gamut of issues above and below ground for a min-
ing project. We then highlighted common problems and
opportunities related to business control processes, explored
the potential benefits of a holistic systems approach, and
pointed out the possible applications of advanced analytics
to Resource Governance.
We believe the technology is available today to make
this Resource Governance vision a reality and the value
proposition appears highly compelling given the cur-
rent environment of societal expectations of the mining
business – some obvious examples being in predictive asset
management and supply chain optimization. It is time
that Resource Governance data, analytics technologies and
experience be applied to the critically important topic of
Resource Governance.
Construction of a central source of all Resource
Governance information creates opportunities for advanced
analytics techniques to provide 360-degree views of land
holdings, obligations, and stakeholders. The following sec-
tions explain the vision of what could become a new para-
digm in Resource Governance.
360-Degree View of Land Holdings
For each geospatial land area, managers of a mining com-
pany can have a complete and proactive view of obligations,
risks, stakeholders, milestone dates, who is working where,
status of permits to work, no-go zones, points of conflict,
points of intersection and impacts on operational sched-
ules. Changes in the status of any of these dimensions can
automatically trigger notifications to the right people to
review the new conditions and take necessary steps.
360-Degree View of Obligations
For each obligation a mining company will be able to see
a complete picture and proactively manage all stakehold-
ers involved, workflows and approval chains, compliance
risks, points of leverage, points of similarity to other obliga-
tions, which allows for operational efficiency in meeting all
obligations. Managers could have access to a continuously
updated, comprehensive dashboard showing high priority
risks, due dates, and stakeholder concerns. Additionally,
using advanced analytics, managers will be able to track
trends that could lead to noncompliance as well as track
trends that reveal emerging opportunities to create value.
360-Degree View of Stakeholders
For each stakeholder it should be possible to see a complete
picture of obligations, approvals, emerging issues, opportu-
nities to negotiate and ways to combine and leverage com-
mercial arrangements.
For stakeholders a self-service portal could be estab-
lished that allows them to be fully informed, which has the
added benefit of reducing the burden on the mining com-
pany of serving those stakeholders in answer to requests for
information. This might include:
• Status of agreements,
• Due dates, what is coming up or overdue,
• What is the stakeholders’ net position with the min-
ing company, and
• Provide auditable 2-way communication channels.
Analytics
Descriptive analytics would typically include things like:
• Dashboards and reports,
• Analysis of historical data on lease expiration, dis-
putes, renewals, etc.
• Analysis of heritage non-compliance, and
• Analysis of frequency, duration, and success rate of
permit applications.
Predictive analytics might extend this further to include:
• Time series forecasting,
• Churn prediction,
• Predictions of environmental impacts of proposed
activities,
• Proactive management of expiration of tenements,
permits and disputes,
• Proactive estimation of likely timeframes for gaining
permits based on past performance, and
• Forecasting potential heritage risks for future mining
activities.
• Prescriptive analytics might include the following:
• Supply chain performance and sustainability,
• Ethical investment guidance,
• Community engagement,
• Regulatory compliance strategies,
• Risk management strategies, and
• Tailored engagement strategies for stakeholders.
All the above transformational use-cases are predicated
on a common understanding and management of Resource
Governance data, an appropriate data ontology, and a stan-
dardized means of leveraging the data (these would typi-
cally be provisioned by API’s (Application Programming
Interfaces) and/or a Data Access Layer).
CONCLUSION
In this paper we have established a definition of Resource
Governance as the conjunction of environmental, social
and minerals governance, then outlined a vision for a holis-
tic systems approach to Resource Governance that embraces
the full gamut of issues above and below ground for a min-
ing project. We then highlighted common problems and
opportunities related to business control processes, explored
the potential benefits of a holistic systems approach, and
pointed out the possible applications of advanced analytics
to Resource Governance.
We believe the technology is available today to make
this Resource Governance vision a reality and the value
proposition appears highly compelling given the cur-
rent environment of societal expectations of the mining