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Microsoft Nonprofit United States

CARE

Data Lake / Data Warehouse Modernization · Document Processing · Real-time Analytics

The development nonprofit CARE works around the world to fight poverty and promote equality, including by responding to crises. It is using AI to better understand emergency preparedness in its country offices so it can act without delay when lives are on the line.

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"We have been blessed to have Microsoft as a partner," says Cherian Varghese, Director of Data Science and Analytics at CARE. "With the greater awareness from the sentiment analysis tool
"We have been blessed to have Microsoft as a partner. With the greater awareness from the sentiment analysis tool, country offices can act on what they need to do to reach 100% emergency readiness."
CARE works in 109 countries worldwide to save lives, fight poverty, and advance equality. It reaches 167 million people a year to advance health, education, climate resilience, and more.
Cherian estimates that the people responsible for the emergency readiness reports used to spend 20% of their time on collecting and synthesizing that data.

Reported impact

Business outcome

Crises are compounding globally. Food insecurity and inflation are skyrocketing. Climate-borne disasters are increasing. In 2023, one in six people were estimated to have been exposed to conflict.

  • Compliance
  • Cost Reduction
  • Productivity Improvement
  • Revenue Growth

Solution

The development nonprofit CARE works around the world to fight poverty and promote equality, including by responding to crises. It is using AI to better understand emergency preparedness in its country offices so it can act without delay when lives are on the line. While many emergencies cannot be foreseen, CARE strives to prepare for crises so staff in the field can react immediately. A quick response can lessen the human impact of a flood or armed conflict-and can save thousands of lives. To deepen its understanding of its emergency preparedness in high-risk countries, CARE teamed up with Microsoft Tech for Social Impact and Microsoft partner Valorem Reply. "We have been blessed to have Microsoft as a partner," says Cherian Varghese, Director of Data Science and Analytics at CARE.

Data flow

Operational and business data is gathered from the customer's source systems and published to teams through Power BI dashboards.

Solution architecture

3 components · 2 layers
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
    • Azure AI Services Supplies pretrained AI capabilities such as vision, language, or speech inside the business workflow.
  2. Serving
    • Power BI Publishes dashboards and reports so teams can monitor operations and act on live insights.

Architecture clues

  • "We have been blessed to have Microsoft as a partner," says Cherian Varghese, Director of Data Science and Analytics at CARE.
  • Azure AI Services: Supplies pretrained AI capabilities such as vision, language, or speech inside the business workflow.
  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Power BI: Publishes dashboards and reports so teams can monitor operations and act on live insights.
  • The development nonprofit CARE works around the world to fight poverty and promote equality, including by responding to crises.
  • While many emergencies cannot be foreseen, CARE strives to prepare for crises so staff in the field can react immediately.

Evidence from the source

CARE works in 109 countries worldwide to save lives, fight poverty, and advance equality. It reaches 167 million people a year to advance health, education, climate resilience, and more.
Crises are compounding globally. Food insecurity and inflation are skyrocketing. Climate-borne disasters are increasing. In 2023, one in six people were estimated to have been exposed to conflict.
The development nonprofit CARE works around the world to fight poverty and promote equality, including by responding to crises. It is using AI to better understand emergency preparedness in its country offices so it can...
While many emergencies cannot be foreseen, CARE strives to prepare for crises so staff in the field can react immediately. A quick response can lessen the human impact of a flood or armed conflict-and can save thousands...
Transparency Evidence & methodology 91/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value91/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    CARE customer story

    First-party
    https://www.microsoft.com/en/customers/story/1782023295346525585-care-power-bi-nonprofit-en-united-states
    Source type
    Vendor-published customer story
    Published
    Jun 27, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Jun 27, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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