ISDM, in collaboration with Capgemini, launched ISDM DataSights, a user-friendly, free-to-use data portal that can help grassroots organisations work towards the Sustainable Development Goals (SDGs)

Big Data is transforming some of the world’s biggest businesses, so why should the social sector be left behind?

When Social Purpose Organisations (SPOs) have easy access to high-quality, reliable, contextualised data, they can make better program decisions, streamline organisational thinking, and scale up their impact. But the data available in the public sphere is often fragmented, unreliable, and hard to access and analyse, which means grassroots SPOs in particular, are left out of the data revolution.

To address this gap, ISDM DataSights, powered by Capgemini, was launched on 23rd January 2025 at the India Habitat Centre in New Delhi. At the launch, 43 participants from the development sector and academia saw firsthand how this platform makes reliable, actionable data easily accessible to SPOs.

Data, democratised

While the corporate sector uses data to drive efficiency and growth, the social sector is unable to do the same at scale. Ravi Sreedharan, President and Co-founder of ISDM, talked about this challenge in his opening plenary: “Only 20 organisations in the social sector have an annual budget of more than ₹100 crore. The sector operates at a mini scale, yet it deals with some of the biggest challenges of our time. If we are serious about creating impact at scale, data must be at the centre of decision-making.”

That’s where platforms such as ISDM DataSights come in. It is a free-to-use, single-window data platform that hosts unified data on the SDGs. It consolidates diverse datasets, and offers advanced analysis tools and visualisation capabilities to help address the social sector’s critical data challenge.

Aarti Srivastava, Chief Human Resources Officer – India, Capgemini, spoke on Capgemini’s vision for ISDM DataSights at the launch: “At Capgemini, we are dedicated to leveraging technology to drive meaningful, positive change, aligning our innovations with the goal of societal impact. ISDM DataSights reflects Capgemini’s mission to turn technological expertise into tools for social transformation.”

No more gatekeeping

The social sector needs more high-quality data to make informed decisions, track progress, measure success, and allocate resources effectively to drive impact. Because many SPOs operate on limited budgets, the sector needs more open-source data platforms like DataSights to enhance their data capabilities.

The launch chief guest, Dr. Rajesh Shukla, MD and CEO of People’s Research on India’s Consumer Economy (PRICE), emphasised the importance of data democratisation for the social sector. “Data is the new dollar. Without updated, high-quality data, interventions are blind guesses. The government alone cannot do everything - we need platforms like ISDM DataSights to bridge the gap.”

At the launch, a demonstration of ISDM DataSights’ capabilities showed how beta users have already used the platform to enhance their work.

Following this, Roma Nawani Sachdev, EVP and Chief Marketing & Communications Officer - India, Capgemini, said, “We are only stopping the democratisation of data by not using it and by not becoming data-centric.” She also urged SPOs to consider if they are using data to its full potential and in sectors where it matters most.

Tech for good

The event concluded with a panel discussion on ‘The Relevance of Technology and Data for the Social Sector’, moderated by Dr Anand Rao, a Distinguished Service Professor of Applied Data Science and AI at Carnegie Mellon University.

The panel featured:

• Anupam Jain - Head of Engineering, Give
• Saurabh Srivastava - Director, Insights & Data, Capgemini
• Shahana Chattaraj - Director of Research, WRI Center for Governance and Equity at the World Resources Institute (WRI)
• Sourav Das - Training Manager, J-PAL South Asia

The discussion focused on how ISDM DataSights lets SPOs integrate diverse datasets and draw insights. The key takeaway was that collaboration and data donation are essential for scaling the platform’s impact.

Towards a data-driven future

Limited access to high-quality data has held the social sector back from maximising its impact. But with platforms like ISDM DataSights, the sector is a step closer to strengthening decision-making through actionable insights, tracking progress, and optimising interventions.

Data science is a field that is reshaping industries, influencing decision-making, and revolutionizing the way we approach problems. Despite its transformative nature, one glaring issue persists-women remain significantly underrepresented in data science. This lack of gender diversity not only limits opportunities for women but also restricts the innovative potential of the field itself.

It’s time to reflect on the gender gap in data science, celebrate the strides women have made, and explore how we can collectively encourage more women to thrive in this critical domain.

The Current State of Women in Data Science

Globally, women comprise only 15-22% of data scientists, according to reports by the World Economic Forum and Boston Consulting Group. While India fares slightly better, with women making up 30% of the analytics workforce (Analytics India Magazine, 2022), there’s still a long road ahead to achieving gender parity.

Key challenges contributing to this disparity include:

Stereotypes and Biases: Societal norms often discourage girls from pursuing STEM fields, including data science.

Access to Opportunities: Women face barriers such as limited mentorship, fewer networking opportunities, and unequal access to education.

Workplace Dynamics: The tech industry’s traditionally male-dominated culture can deter women from joining or staying in the workforce.

Inspiring stories of women in Data Science

While the challenges are real, many women have broken barriers to excel in data science, inspiring the next generation to follow suit:

1. Fei-Fei Li

Fei-Fei Li’s contributions to computer vision through ImageNet revolutionized artificial intelligence. As an advocate for diversity in tech, she emphasizes the importance of ethical and inclusive AI practices.

2. Raji Arasu

An Indian-origin data leader and the CTO of Autodesk, Raji Arasu has been a driving force in using data to solve complex problems in engineering and design.

3. Ruchi Bhatia

In India, Ruchi Bhatia has emerged as a leading voice in HR analytics, demonstrating how data-driven strategies can transform workplace decision-making.

Why women in Data Science matter

The underrepresentation of women in data science is more than a gender issue-it’s a business and innovation problem. Diverse teams bring varied perspectives, which are crucial for designing inclusive, unbiased solutions.

1. Building Better Algorithms

A diverse workforce helps identify and mitigate biases in datasets and algorithms, ensuring AI solutions are equitable and fair.

2. Solving Real-World Problems

Women in data science bring unique insights to pressing global issues, from improving healthcare accessibility to developing climate change models.

3. Driving Economic Growth

According to a McKinsey report, bridging the gender gap in STEM could add $12 trillion to global GDP. Empowering women in data science is an investment in the future.

Initiatives Empowering Women in Data Science

Efforts to address the gender gap are gaining momentum, thanks to programs and initiatives aimed at creating opportunities for women:

1. Women in Data (WID)

This global community provides mentorship, skill-building workshops, and networking opportunities to support women entering and excelling in data science.

2. Women in Machine Learning and Data Science (WiMLDS)

WiMLDS focuses on increasing representation in machine learning and data science by organizing meetups, hackathons, and educational sessions.

3. Google Women Techmakers Scholarship

This program supports women pursuing technical degrees and helps them transition into data science careers.

4. India-Specific Programs

WiDS India (Women in Data Science): This annual conference brings together aspiring and established women in data science to share knowledge and network.

AI for All by Intel: Aims to introduce girls and women to AI and data science concepts, bridging the digital divide in underserved communities.

Corporate contributions through CSR

Corporate social responsibility (CSR) initiatives are playing a vital role in empowering women in data science. Some noteworthy programs include:

1. IBM STEM for Girls

This program focuses on equipping girls in secondary schools with digital skills and data science training, preparing them for tech careers.

2. P&G Shiksha

Though initially aimed at improving education infrastructure, this initiative has expanded to include digital literacy and coding skills for girls in rural areas.

3. Microsoft DigiGirlz

Microsoft’s program inspires high school girls to explore careers in technology by providing access to workshops, mentorship, and data science bootcamps.

4. TCS Ignite

Tata Consultancy Services’ Ignite program offers scholarships, internships, and training for women to enter data science roles in the tech industry.

Steps to Bridge the Gender Gap in Data Science

To see more women thrive in data science, we need a holistic approach:

1. Start Early

Introduce data science concepts in school curricula and run coding bootcamps specifically for girls. Programs like Girls Who Code have shown significant success in building early interest.

2. Mentorship and Role Models

Highlighting stories of women leaders in data science can inspire young girls. Structured mentorship programs can help women navigate challenges in the industry.

3. Inclusive Work Cultures

Organizations should focus on building supportive environments with policies like flexible work hours, maternity benefits, and mentorship programs for women re-entering the workforce.

4. Scholarships and Financial Support

Providing scholarships and grants for women to pursue data science degrees and certifications can make education more accessible.

5. Community Building

Encouraging women to join professional networks like WiDS or attend data science conferences fosters peer learning and collaboration.

Achievements by Indian Women in Data Science

Indian women are making significant strides in data science:

Shubha Nabar: A senior leader in AI at Salesforce, Shubha’s work has been pivotal in driving innovation in machine learning.

Manisha Raisinghani: Co-founder of LogiNext, she uses data science to revolutionize supply chain management and logistics in India.

Meghna Suryakumar: Founder of Crediwatch, Meghna leverages AI and data analytics to provide real-time credit insights for businesses.

These trailblazers serve as powerful examples of what women can achieve when given the opportunity and support to excel.

The Road Ahead

The gender gap in data science is a challenge, but it’s also an opportunity. By breaking barriers and creating inclusive ecosystems, we can not only empower women but also unlock the full potential of the field.

Women bring unique perspectives and insights to data science, driving innovation and solving real-world problems. By addressing systemic issues and fostering a culture of inclusion, we can ensure that more women take their rightful place at the forefront of data science, shaping a brighter, more equitable future.

The question isn’t whether women can succeed in data science-it’s how quickly we can create the conditions for them to thrive. The time to act is now.

Reference Links

1. https://wbcollaborative.org/insights/the-importance-of-women-in-data-science-and-analytics

Non-Governmental Organizations (NGO/SPOs) play a crucial role in addressing societal challenges, especially in a country like India, where socio-economic disparities are stark. With over 3.4 million registered NGO/SPOs, India boasts one of the largest networks of civil society organizations in the world. These organizations have been instrumental in improving education, healthcare, gender equality, disaster relief, and environmental conservation. However, the pressing question remains - are they truly making the impact they promise?

To answer this, we must analyze their contributions, challenges, and the way forward for sustainable change.

Transforming grassroots realities

1. Impact across sectors

NGO/SPOs in India have made remarkable contributions to several sectors:

• Education: Organizations like Pratham have revolutionized education at the grassroots level. Their Annual Status of Education Report (ASER) has provided critical insights into learning outcomes and influenced government policies.
• Healthcare: NGO/SPOs like Smile Foundation have addressed gaps in healthcare delivery, especially in rural and underserved areas, through mobile health clinics and awareness programs.
• Women Empowerment: SEWA (Self Employed Women’s Association) has empowered thousands of women by providing skill training and micro-finance support.
• Environmental Conservation: The Chipko Movement and contemporary efforts by NGO/SPOs like WWF India have brought environmental issues to the forefront.

2. Grassroots Impact of CSR Initiatives

Corporate Social Responsibility (CSR) has amplified the impact of NGO/SPOs in India. The Companies Act, 2013 mandates companies to allocate 2% of their profits to CSR activities. According to the Ministry of Corporate Affairs, Indian companies spent over ₹24,865 crore on CSR initiatives in 2022-23, a significant portion of which was directed towards projects executed by NGO/SPOs.

• Tata Steel’s CSR initiative in partnership with NGO/SPOs has enhanced access to education and healthcare in tribal regions, benefiting over 2 lakh individuals.
• Similar partnerships between NGO/SPOs and corporates, like the Gates Foundation’s collaborations with local NGO/SPOs worldwide, have shown immense success in combating issues like malaria and polio.

NGO/SPOs and Government Collaborations: A winning formula

NGO/SPOs often work hand-in-hand with the government to achieve larger developmental goals:

• Mid-Day Meal Scheme: NGO/SPOs like Akshaya Patra partner with the government to provide nutritious meals to millions of schoolchildren, directly improving enrollment and attendance.
• Swachh Bharat Mission: Several NGO/SPOs have supported this flagship campaign by creating awareness about sanitation and constructing toilets in rural areas.
• National Rural Health Mission (NRHM): NGO/SPOs like Care India have played a pivotal role in maternal and child health programs under this mission.

Opportunities for growth

While NGO/SPOs have achieved remarkable milestones, addressing certain challenges can significantly amplify their impact and reach. These gaps present opportunities for improvement and innovation, ensuring that the sector becomes more effective and sustainable.

1. Strengthening accountability

Transparent fund utilization is crucial for building trust with stakeholders and attracting sustainable funding. While some NGO/SPOs lack robust reporting mechanisms, many are adopting tools and platforms like GuideStar India to enhance their transparency.

2. Collaborative efforts for greater impact

NGO/SPOs often work in silos, which can lead to duplication of efforts. However, many organizations have started forming alliances to pool resources and expertise. For instance, partnerships like those under the India Development Review (IDR) facilitate knowledge-sharing and coordinated action.

3. Overcoming resource constraints

Smaller NGO/SPOs often struggle with limited funding and manpower. Yet, many are finding innovative ways to stretch resources, such as leveraging technology for outreach and impact measurement. Initiatives like crowdfunding through Ketto and Milaap have enabled small NGO/SPOs to scale their operations.

4. Addressing sectoral gaps with targeted focus

While NGO/SPOs have excelled in education and healthcare, sectors like mental health, disability rights, and climate adaptation remain underserved. However, the growing awareness around these issues presents an opportunity for targeted interventions. For example, organizations like The Banyan have pioneered mental health initiatives, providing scalable models for others to replicate.

How small NGO/SPOs can make a big impact

1. Focused approach

• Small NGO/SPOs can create measurable impact by focusing on specific local issues.
• Example: Goonj, a Delhi-based NGO/SPO, started as a small initiative to recycle urban waste into rural resources. Today, it impacts millions through disaster relief and livelihood programs.

2. Leveraging Technology

• Digital tools can help small NGO/SPOs reach wider audiences, optimize fund utilization, and measure impact. Platforms like Milaap and Ketto have enabled crowdfunding for grassroots initiatives.

3. Collaboration

Partnering with larger organizations or corporates can amplify the reach and effectiveness of small NGO/SPOs.

Also Read :How Indian Companies Approach CSR

How Corporates and Governments can support NGO/SPOs

1. Increased Funding and Capacity Building

• Corporates can allocate a portion of their CSR budgets for capacity-building programs for smaller NGO/SPOs, ensuring better fund utilization and scalability.

2. Policy Reforms

• The government should streamline processes for NGO/SPO registration, funding approvals, and compliance to reduce bureaucratic hurdles.

3. Building Collaborative Ecosystems

• The government and corporates can establish platforms for NGO/SPOs to collaborate, share best practices, and pool resources.
• In the United States, initiatives like Nonprofit Collaboration Networks facilitate partnerships between NGO/SPOs and corporates for greater impact.

NGO/SPOs in India have undoubtedly brought about transformative changes at the grassroots level, but the road to maximizing their impact is long and challenging. By addressing gaps in accountability, funding, and collaboration, and focusing on underrepresented sectors, NGO/SPOs can fulfill their promises and drive sustainable development.

Corporates and governments have a critical role in enabling NGO/SPOs through financial support, policy reforms, and collaborative frameworks. Together, they can ensure that India’s NGO/SPOs not only continue to bridge societal gaps but also set a benchmark for impactful social change globally.

As we look ahead, the goal is clear - strengthening NGO/SPOs to create a more equitable, inclusive, and sustainable society.

Reference Links

1. https://thecsrjournal.in/india-inc-spent-rs-29986-92-on-csr-in-fy23-national-csr-portal/
2. https://indiacsr.in/tata-steel-foundation-purpose-and-works/
3. https://www.akshayapatra.org/includefiles/financialreports/Annual_Report_2020-21.pdf
4. https://nhm.gov.in/index1.php?lang=1&level=2&lid=218&sublinkid=822

Team DevSol4, which won the first edition of Code4Change 2023-24, shares why more data science professionals should participate in this unique event

CDSSI held the first edition of Code4Change 2023-24 (C4C) at the SAIACS CEO Centre on May 24 in Bengaluru. The event culminated with team DevSol4 being declared the winner. The team, from Development Solutions (DS), included Jagan (MEL Manager), Agrima (Project Manager), and Research Associates Sidra and Mallika, was among five finalists who presented their solutions to an esteemed jury, including Dr. Anand Rao (Professor of Data Science and AI at Carnegie Mellon University), Jayita Bhattacharya (Senior Director of Insights & Data at Capgemini), and Mayukh Choudhury (Co-founder of MILAAP).

The jury evaluated the teams on factors like relevance, methodology, data analysis, delivery, and impact. Teams were tasked with identifying key factors driving financial vulnerability in households, and assessing their impact on risk prediction. This required developing a model to identify, predict, and map the financial vulnerability of women-headed rural households. They were given a dataset that included household demographic profiles, socio-economic factors such as resource access and asset ownership, information on access to government schemes, and digital footprints of households. DevSol4 talks about their experience:

Why did you participate in Code4Change?

This hackathon was an excellent opportunity for us to showcase our ability to create real-time impactful solutions. We participated because:

1. We wanted to leverage data science in developing innovative solutions to pressing problems.
2. It was an opportunity for our research associates to gain valuable exposure and actively enhance their skills, thereby deepening their learning curve.

Tell us about the process. How did you work on your solution?

We created a Financial Vulnerability Index (FVI) to understand and measure the financial challenges faced by women-headed households in India, helping policymakers focus on those who need support the most. Through secondary research, we identified key barriers such as low income, limited financial knowledge, and poor access to services. Based on these insights, we developed four categories within the index: Banking and Digital Access, Asset Ownership, Social Welfare Support, and Income and Savings, reflecting the many factors that contribute to financial vulnerability. Further, we used a dimensionality reduction technique called Principal Component Analysis to determine the most relevant components and arrive at a single composite index. To enhance its accuracy, we employed a machine learning algorithm.

What did you discover?

Our analysis uncovered significant regional disparities in vulnerability. West Bengal, Telangana, and Tamil Nadu displayed the lowest levels of financial vulnerability, while Daman & Diu and Chandigarh showed the highest, with Chhattisgarh also emerging as highly vulnerable.

What kind of impact can your solution have?

The Financial Vulnerability Index (FVI) developed by the team can serve as a useful tool for social sector organisations, policymakers, and financial institutions to guide targeted assistance to financially vulnerable women-headed households in three ways:

Targeted Policy Interventions: The FVI can help policymakers identify the most vulnerable households, enabling focused social welfare efforts, such as subsidies, microfinance loans, and digital literacy initiatives, to ensure resources reach those in greatest need.

Strategic Planning for SPOs: SPOs can use the FVI to pinpoint high-need areas, allowing them to design programs - like financial literacy workshops, entrepreneurship training, and digital financial services - to support economic empowerment.

Enhanced Predictive Capabilities: The FVI’s machine learning model predicts future vulnerabilities, offering SPOs a proactive tool for planning. It can be scaled to offer insights at more localised levels, enabling tailored interventions for specific communities.

What were your learnings from the hackathon?

One of our biggest takeaways was how different teams came up with fundamentally different solutions (and findings) to the same problem using the same dataset. While all of us had a particular lens through which we approached the problem, there is merit in pooling our collective expertise in solving "wicked" social and policy problems.

Would you recommend Code4Change to others?

Of course! It is a great platform to bring together different stakeholders, all working on similar economic and social problems but with different approaches and expertise. It helps understand where there are gaps in evidence and research, and how they can be overcome. This can help with more efficient planning and allocation of resources. The judges too were open, collaborative and learned in their field, offering all participants insight into solving such problems.

It’s an avenue to use technological and data-related advancements in novel areas, and think beyond traditional quant and qual research methods. It’s also an opportunity for networking, collaboration, and knowledge sharing.

The Code4Change is a bi-annual social sector hackathon conducted by ISDM CDSSI.

Learn more about the hackathon here: https://www.isdm.org.in/cdssi/projects/code4change