Competitive Intelligence Matrix — analysis_competitive_intel

Computes our organization's competitive position across sectors using:

Market_share = Our_funding_in_sector / Total_sector_funding
Growth_differential = Our_growth - Average_peer_growth
Funding_diversity = 1 - HHI(our_funding_sources)
Peer_encroachment = sum(peer_growth_in_our_core_sectors)

Usage

analysis_competitive_intel_matrix(
  flows,
  recipient_name,
  peers = NULL,
  sector_name = NULL
)

Arguments

flows: Dataframe flows.
recipient_name: Character name of our organization as appears in destinationObjects.name (type Organization).
peers: Optional character vector of peer organization names. If NULL peers are all other organizations in destinationObjects.
sector_name: Optional sector name to highlight in the plot.

Value

A list with a tibble with sector-level and aggregated competitive indicators and a composite Competitive_Position score, and a plot.

Examples

result <- analysis_competitive_intel_matrix(flows,
               recipient_name = "United Nations High Commissioner for Refugees",
                peers = NULL,
                sector_name = "Health")
print(result$plot)
#> Warning: Removed 21 rows containing missing values or values outside the scale range
#> (`geom_point()`).
#> Warning: Removed 1 row containing missing values or values outside the scale range
#> (`geom_point()`).
#> Warning: Removed 21 rows containing missing values or values outside the scale range
#> (`geom_text()`).