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Approach

In our experience, the key to an insightful EIA is a comprehensive understanding of the economic dynamics of the industry or policy in question. For example, the relative importance of capital versus operating costs, the source of economic input (domestic or imported) the length of a capital investment (e.g., 5 vs. 40 years), the quantity of labour, and the type of and regional distribution of labour are all key considerations to ensure that material factors are well accounted for in economic modeling. Our economic impact assessment work is guided by five core values: 

• Value: Given our experience with EIAs, our project team can hit the ground running, delivering value immediately, given our familiarity with a range of reliable datasets and our ability to leverage our pre-configured EIA models.

• Balanced: Whether using static or dynamic models, we strive to present balanced estimates that account for both positive and negative effects when we evaluate the economic impact of a given policy event or economic “shock”

• Collaboration and Transparency:  Our proprietary models are built to best practice, combining client-proprietary data with data from trusted sources such as Statistics Canada and BC Stats. 

• Living Solutions:  Our models are sound and flexible. They are easily updated and expanded to respond to a continuously evolving economic landscape, creating foundations that deliver immediately with an intent to continue doing so, well into the future. 

• Independence and Agility: We are a boutique firm focused on high quality projects and long-term strategic relationships that push the edge of research and data science in partnerships that build and innovate together. We are focused on quality delivery for each mandate, while simultaneously uncovering new value potential at every step of a project.

Approach

Our experience is comprehensive; we have supported suppliers and buyers in both the public and private sectors. We have worked across the entire procurement lifecycle, from developing options/strategy, supporting market interactions and tendering, and articulating service requirements to developing contract performance regimes, undertaking financial tender evaluation, and leading final negotiations and end of term evaluations.  With typical deal sizes ranging from $0.5 Billion to more than $2 Billion, we have supported a wide range of multi-year procurements in health, IT, financial services, business process outsourcing and major infrastructure.     

While each deal is unique, we are able to draw on an expanding knowledge base of best practices to bring state-of-the-art tools and techniques to the ancient arts of deal structuring and negotiation.    We often leverage our strong track record in economic and financial modelling, financial valuation and structuring, risk management and due diligence. Specifically, we have:

• developed rigorous and dynamic financial models to evaluate the economics of investments, alternative service delivery models, strategy and businesses;
• applied simulation and linear programming techniques to evaluate potential contract scenarios;  
• evaluated the impacts of policy, projects and investments on economic factors such as tax revenues, supply/demand shifts, incomes, labour markets, trade, and industry competitiveness; and
• applied expert facilitation and workshop techniques and qualitative research methods, including structured and open interviews, focus groups, and surveys, to engage multi-stakeholder groups (e.g. internal, external, executive, management, front-line) in problem-solving and the development of solutions.  

As experts in outcome-based contacting, we are thought leaders in transforming relationships between buyers and suppliers and aligning incentives in ways that lead to win-win solutions. We can design innovative service delivery models, contracts and strategic deals and/or business processes that move beyond conventional agreements and that are responsive to change while meeting or exceeding key performance metrics, including efficiency and quality as well as service and risk.

Approach

Our experience is comprehensive; we have supported suppliers and buyers in both the public and private sectors. We have worked across the entire procurement lifecycle, from developing options/strategy, supporting market interactions and tendering, and articulating service requirements to developing contract performance regimes, undertaking financial tender evaluation, and leading final negotiations and end of term evaluations.  With typical deal sizes ranging from $0.5 Billion to more than $2 Billion, we have supported a wide range of multi-year procurements in health, IT, financial services, business process outsourcing and major infrastructure.     

While each deal is unique, we are able to draw on an expanding knowledge base of best practices to bring state-of-the-art tools and techniques to the ancient arts of deal structuring and negotiation.    We often leverage our strong track record in economic and financial modelling, financial valuation and structuring, risk management and due diligence. Specifically, we have:

• developed rigorous and dynamic financial models to evaluate the economics of investments, alternative service delivery models, strategy and businesses;
• applied simulation and linear programming techniques to evaluate potential contract scenarios;  
• evaluated the impacts of policy, projects and investments on economic factors such as tax revenues, supply/demand shifts, incomes, labour markets, trade, and industry competitiveness; and
• applied expert facilitation and workshop techniques and qualitative research methods, including structured and open interviews, focus groups, and surveys, to engage multi-stakeholder groups (e.g. internal, external, executive, management, front-line) in problem-solving and the development of solutions.  

As experts in outcome-based contacting, we are thought leaders in transforming relationships between buyers and suppliers and aligning incentives in ways that lead to win-win solutions. We can design innovative service delivery models, contracts and strategic deals and/or business processes that move beyond conventional agreements and that are responsive to change while meeting or exceeding key performance metrics, including efficiency and quality as well as service and risk.

Approach

Deetken has been providing analysis, modelling, and negotiating support in the energy sector for close to a decade.  Over this period, we have frequently acted as the Provincial government’s core economic advisors and financial analysts on high-profile decisions relating to British Columbia’s natural resource industries. Our in-house skillset and breadth of experience has been leveraged by governments, industry groups and proponents to help understand and solution complex issues in the renewable and conventional energy markets, including solar energy, run-of-the-rivers hydroelectric energy, natural gas, marine fuel, and gas and diesel.

We have extensive experience in using data to understand the impact of market conditions and factors such as transportation costs, capital costs, and market structures on energy markets.   We are able to evaluate the impacts of energy-related policy, projects and major investments on economic factors such as tax revenues, supply/demand shifts, incomes, labour markets, trade, and industry competitiveness.  We use advanced simulation and machine learning capabilities to model small and large energy infrastructure projects and assess their broader economic implications.  

Approach

Deetken has helped a variety of clients understand the true sources of their workload and the relationship between workload, client demand, processes and policies, and resources.  Our clients have used this is newfound transparency to make data-driven decisions to ensure they have the staff resources they need to deliver on their core mission and mandate. We often work with clients who need to be able to respond to unpredictable service levels, meet diverse customer/user needs, and adhere to non-linear or iterative processes.  We know that if we don’t account for variability, our analysis will be flawed and, when the needs of vulnerable populations hang in the balance, the cost of error can be unacceptably high. The tools that we leverage allow us to account for the unique requirements of each of our clients, and can range from an easy-to-use Excel model to a web-based product that enables near real-time analytics and predictions. 

For example, for a safety organization, we developed an analytical model that connected demand for services with management decisions related to business processes, resourcing, and service levels. This tool was used to help organizations struggling to allocate staff to meet critical situations where citizen safety was at risk.  For an organization seeking to transform its service delivery model for adults with disabilities, we modelled the workforce implications and staffing requirements for a new case management role and estimated the number of these roles required across the province.  

Across all our resource planning and optimization projects, we are able to draw on our economic modelling and data science toolkit to, for example, develop predictive workload simulations and identify critical resource gaps and related risk factors.  When more qualitative engagement is required, we conduct interviews and consultations across an organization to build a deep understanding of how work gets done and to identify opportunities to optimize workflow, decision-making and reporting processes.  Ultimately, our findings help management make fact-based policy, process, and resource decisions. 

Approach

Deetken has helped a variety of clients understand the true sources of their workload and the relationship between workload, client demand, processes and policies, and resources.  Our clients have used this is newfound transparency to make data-driven decisions to ensure they have the staff resources they need to deliver on their core mission and mandate. We often work with clients who need to be able to respond to unpredictable service levels, meet diverse customer/user needs, and adhere to non-linear or iterative processes.  We know that if we don’t account for variability, our analysis will be flawed and, when the needs of vulnerable populations hang in the balance, the cost of error can be unacceptably high. The tools that we leverage allow us to account for the unique requirements of each of our clients, and can range from an easy-to-use Excel model to a web-based product that enables near real-time analytics and predictions. 

For example, for a safety organization, we developed an analytical model that connected demand for services with management decisions related to business processes, resourcing, and service levels. This tool was used to help organizations struggling to allocate staff to meet critical situations where citizen safety was at risk.  For an organization seeking to transform its service delivery model for adults with disabilities, we modelled the workforce implications and staffing requirements for a new case management role and estimated the number of these roles required across the province.  

Across all our resource planning and optimization projects, we are able to draw on our economic modelling and data science toolkit to, for example, develop predictive workload simulations and identify critical resource gaps and related risk factors.  When more qualitative engagement is required, we conduct interviews and consultations across an organization to build a deep understanding of how work gets done and to identify opportunities to optimize workflow, decision-making and reporting processes.  Ultimately, our findings help management make fact-based policy, process, and resource decisions.