Pankhudi Foundation’s Social Sector Intelligence (SSI) is an initiative to address the interpretation of information and data which exist in social sector entities (within organizations, social networks, geographies) in the form of various projects and their outcomes, human/time/other-resource utilization. The presentment and righteous interpretation of information, inherent within such systems, could lead to optimal decision-making and enhance the effectiveness of projects/tasks while improving the overall performance and insight.
For any analysis to be done, appropriately clean data sources should be in place with all possible degree of segmentations. Since, Time dimension has a crucial importance for almost analysis and decisioning; all data should be captured along with the time-stamps (time of data capture).
- In a nutshell, prerequisites for SSI analytics within organizations are:
- Adequate sources of reliable data capturing and security/authorization of data
- Mechanism of Storage and Integration of data from various data sources
As a small demonstration of analysis and data-representations that could be carried out within social-sector organizations, Pankhudi’s PR & Resource Office, brings to you certain examples of commonly possible interpretations of data*(see reference):
New volunteer Joining Trend (in 2009)
New volunteers joining trend in 2009 has been quite interesting. Significant rise has been observed in abroad volunteers while metro cities continue almost equally to total new volunteers in Pankhudi Foundation.
Channels of Approach (new volunteers)
Word of mouth (Peer and friends) remains the most contributing means of awareness about Pankhudi. Web media contributes to almost 30% of new volunteers and has a significant potential to be explored.
Demographics Distributions
1. Age:
Highest population (~70%) of Pankhudi’s volunteers come from the age group of 23-27 followed by 27-31 (19%). Appreciable rise in higher age group.
2. Occupation:
Higher population of Pankhudi’s volunteers are employed in different professions (see below).
~12% of volunteers are students (>18 years of age)
2.1 Occupation Splits:
This plots shows the occupation trend of self-volunteers. Majority of the volunteers are coming from IT sector background.. Students and people with analytics professions are next highest in volunteering.
Volunteering Hours Trend
1. Hours Contribution (Month)
The plot in the left depicts the average hour-contribution of self-volunteers on a month’s timeline. Around 82% of self-volunteers contributes 1-4 hours in a month. Whereas 5-8 hours contributors are 10% of toatal and rest contributes to last 10%. 2-3% of volunteers spend more than 20+ volunteering hours in a month.
1.1 Hours contribution Vs. Months-Since-Joining (MSJ):
This interesting plot above shows the volunteering-hours trend of all volunteers who have matured to a certain MSJ (Months since joined). For example, MSJ=1 means all volunteers who have completed one month in volunteering into Pankhudi Projects. It shows that total number hours contributed in volunteering are highest for first 4 months and which gradually drops to least at MSJ=19. From here it starts picking up again. For a fixed control group of volunteers at any MSJ, the total number of hours available can roughly be predicted by:
y = 0.002x3 - 0.069x2 - 1.758x + 55.57 {x: MSJ }
For more info write to us at pr@pankhudifoundation.org
*On aggregate, Pankhudi volunteers with MSJ <10 contributes ~500 hours a month whereas MSJ>=10 puts in 340 hours in a month.
*Data Reference: This interpretations presented here and the data used are internal to Pankhudi Foundation©
*Disclaimer: The representations and trends shown are for Pankhudi Foundation, this may or may not be held consistent for other entities/organizations.