Economic & Financial Analysis


SIA creates economic models and utilizes impact analysis to drive program design and assessment, decision-making and strategy guidance for public, private and non-profit economic development actors.
 

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Business Case for Digital Cash Transfer Mechanisms

In 2015, SIA team members undertook research for the International Rescue Committee (IRC) on the costs and revenue drivers for digital (card) payment providers in the Philippines and Lebanon and designed a return on investment (ROI) model that examined these drivers in acquiring and issuing banks participating in cash transfer programming. The report was meant to help shed light on the commercial realities for private sector partners participating in cash transfer programs. Results helped shape thinking around how humanitarian response organizations can be better prepared to respond in cash and think through new partnership approaches with service providers. Results from this study were used to shape a business case for expanding digital financial services


In August 2015, Catholic Relief Services (CRS) contracted SIA to assist the organization with fully utilizing electronic payments in country programs where feasible and justifiable. Specifically, SIA was tasked with developing the methodology and user guidance needed to conduct a cost-benefit analysis of 2-3 types of electronic payments in six CRS country programs (Guatemala, Haiti, DRC, Tanzania, Malawi and the Philippines). After performing a comprehensive analysis, SIA helped CRS formulate a strong business case to make the switch from cash to electronic payment methods where practical.

Cash and e-Payments Payment Streams Cost Benefit Analysis in Multiple Countries


Analysis of Economic and Fiscal Impacts of Proposed Development Projects in Virginia

In October 2015, West Rosslyn Development Company contracted SIA to provide an analysis of the economic and fiscal impacts associated with development projects in Arlington County. SIA measured direct, indirect and total economic/fiscal benefits of four broad activity areas within each proposed development project: 1) Commercial/Resident Construction; 2) Commercial/Industrial Activities; 3) New In-Migrant Resident Activities; and 4) Tourism/Visitor Activities.


Mobile Product Investment Strategy in Egypt / Morocco

In 2010, SIA team members assisted in developing a comprehensive business case for the introduction of new payment products and services in Egypt and Morocco. Engagement included leading a cross sector multinational team across multiple geographies; engaging with executive leadership; advising on high-level contractual negotiations; developing operating and business models; assessing and recommending optimum asset structures.


Analysis of New Daily International Flights in Virginia

In October 2015, SIA was contracted by the Virginia Tourism Corporation to perform an analysis of the economic and fiscal impacts associated with proposed new non-stop daily flights to Lima, New Delhi and Tel Aviv to and from Washington Dulles International Airport. SIA measured economic and fiscal impacts as well as the return on public sector investment associated with 3-year, 5-year, 10-year and 30-year discount periods for each route individually and for the three routes combined. SIA also measured the public investment break-even period corresponding to each route and all three combined.


Analysis and Research of Real Estate Market in Washington, DC

In December 2014, SIA compiled and organized data related to the District of Columbia’s real estate projects, affordable housing projects and business grants to assess economic and fiscal impacts as well as the return on investment of the District’s public and private sector initiatives. In addition, SIA established benchmarks for measuring progress toward the District’s established goals and ranked competing projects against those benchmarks. Research and analysis served to enhance the District’s comprehension of the real estate market in Washington, D.C. and surrounding jurisdictions in order to make data-driven decisions relative to future development.