WE SOLVE SOCIAL INEQUALITY THROUGH BUILDING DATA LITERACY AND TRANSPARENT TRUST ECONOMY
Increasingly, data technologies permeate and index the daily lives of the worlds' poor populations, moment-by-moment, for the benefit of market-driven or geo-political interests. Alas with scant return, feedback, or empowerment to those populations that provide the data. This causes a further rift in the information gap between the "first world" and developing regions. We feel it is a fundamental cause to the perpetuation of poverty and social inequality moving towards humanity's data-driven future. Without a realizable quantum-jump beyond the data-literacy divide that renders ever-growing oceans of data inaccessible, the world's most vulnerable populations will continue suffering from a shortage of means for self-agency, remaining at the mercy of the exploitative structures in our current (political) economy.
Our intention is not only to rebalance this asymmetrical system of control, but to activate and catalyze self-empowering innovation at the fringes of the formal economy. We are placing the power of data literacy into the hands of the poor, leveraging our generation's advancement in artificial intelligence and ubiquitous computing, and making such informatics tools accessible, meaningful, and valuable to an impoverished majority. By doing so we believe social innovation located at the fringe can flourish locally, be shared freely, and scale globally.
We believe that this quantum jump is necessary to disrupt and create a new socioeconomic system, where market forces are intrinsically guided by "glocal" social values, continuous awareness, and open transparency. All this thanks to sophisticated computeraided insight mining techniques, designed and evolving with the developing world.
THERE IS AN URGENCY TO SETTLE THE BASIC INFRASTRUCTURE FOR PROPOSE-DRIVEN CAPITAL TO SCALE.
We redefine social impact from bottom to top. There is an urgent need of intelligence infrastructure in developing region, based on both data science technology and domain expertise, to allow impactful entrepreneurship and social value investment implemented more efficiently and precisely. We dedicate to develop such impact intelligence with our clients and partners to co-create a more inclusive economic development model for the developing world.
In the social development space, purpose-driven organizations produce innovative solutions for populations that need it most. But the values of their efforts require measurable evidence proving that they can sustainably produce positive impacts before they can be successfully scaled. Unfortunately, current impact measurement practices in developing regions are costly, labor intensive and irrelevant to end-beneficiaries, where the complexity of parsing holistic impacts is beyond the expertise of the social program operators: data is unreliable, quickly outdated, stuck in old dusty annual reports folders, and social entrepreneurs and end-beneficiaries feeling indifferent about any impact monitoring assessment. As a consequence, social programs have limited ability to self-improve and their backers can’t see how to better support them.
We solve this by automating impact metrics on a cloud analytics platform called Impact Learning™, with tools for real-time input and feedback gathering that can be used behind a desk as well as in the field. To gain accurate data from remote areas where typical data collection has been difficult, we harness the power of human sensing, value co-creation datafication strategies and social computing by deploying sensitive technologies in the hands of field agents and end beneficiaries to gain immediate incentive and value that are appropriate to developing regions. Data quality and reliability is improved by tapping into and redefining an already existing data network, as well as the incentive created for the end-users. Complexities of social impact can be better assessed and understood through machine learning engine embedded in Impact Learning™. Obtained insights help to optimize social programs, reveal deeper impacts to their backers while providing help to end beneficiaries in their daily lives.
Impact Data Readiness Index
Impact Data Readiness Index, or IDRI, is a metric for us to understand potential problems and solutions to implement impact data technologies in areas in China with different developmental levels. IDRI metric consists of two levels of assessment. IDRI-x (or IDRI-External) is a macroscopic analysis of how the bigger environment of the projects constrains implementation of impact data technologies. IDRI-n (or IDRI-Internal) is a microscopic analysis of how organization and specific served community can tackle impact datafication. The analysis integrates data about the conditions of digital infrastructural, general data literacy of end-beneficiaries and socio-economic development.
IDRI metrics development is enabled by both domain expertise of impact measurement and data science technologies. Our goal is to develop a scalable methodology to implement impact data infrastructure sensitive enough to specific region’s cultural system and useable for local organizations and underserved communities. If you wish to understand how impact data intelligence can be used to scale up your project’s impact, and how to implement such intelligence on your project site, please click on the link below to get a quick assessment. We will be happy to get in touch with you about how to help you more.
Who Need Impact Intelligence
IMPACT ANALYTICS IS A STRATEGY.
We believe that the core factor of the business and organization sustainability is impact, because impact component is able to become the key differentiator from typical capital-to-market business models. For these typical models, capitalists have been advocating for centuries, but it has become a highly competitive marketplace and severely unsustainable to both human society and natural environment. Impact intelligence provides new insights and strategies to business to unlock the resource of the second half of the global economic system, the developing regions, but in a more sustainable and inclusive way. In this sense, if you wish to, or already working on, projects in the developing contexts, and aim to generate value for those people who are underserved, you need intelligence maximizing, smartifying and scaling up your impact.
We work with both entrepreneurial and institutional partners and clients with deep vertical penetration all the way from social capital to social problems, such as poverty, environmental damage and social inequality. We work with the whole ecosystem of stakeholders of social development, including funders, institutions, fund managers, social entrepreneurs and end-beneficiaries, to co-create value through impact data implementation. Through solving data literacy and value creating problems, social programs can be implemented more efficiently and sensitively.
We believe the value generated by impact analytics should be highly strategic to the operation and corporate transformation of the organization. Therefore, we integrate impact strategy and measurement, and always create long term partnership with our clients, not just to focus on how to create immediate impact communication efficiency, but also potential transformation of business model to capture huge amount of market value.