What We Do

We at Preva are working to improve the quality and timeliness of data to enable better decisions for social impact practitioners and investors.  This shift from ‘measurement for compliance’ to ‘measurement for impact decisions’ transforms data collection and data policy from a tax on practitioners to a value-add.  We do this by combining strategic data planning with sophisticated analytics, all the while partnering with subject matter experts to ensure local context and relevancy.  

 

Technology & Data Governance Advisory

Strong underlying architectures enable innovative approaches that help digital movements scale. We help programmes create progressive enterprise and ecosystem data strategies that are immediately actionable, bridging the research-to-scale gap. And we engage delivery partners in both High-Income settings and LMICs for alignment and planning of the technical or policy changes necessary.

  • Data Governance, Discoverability and Access

  • Solution and Architecture Design, Development and Support

  • Data Management & Cloud Computing

  • Machine Learning Qualification

Data Science

Effective strategies and programs are built on evidence, including measurement and analytics. We help organizations make meaning from their existing data to ask smarter questions and inform strategic decisions. We comfortably navigate operations data and program-specific data and we collaborate with client partners to instrument program level plans, develop products to drive strategic objectives and orchestrate multiple party implementations.

  • Data Analysis and Implications

  • Business Intelligence and Scenario Modeling

  • Predictive Analytics

  • Investment Measurement

  

Technology EXECUTION

The ability to translate solution ideas to technically sound plans is a scare resource in any setting. We help teams with novel software or platform ideas develop their vision and bring them to life. We support the launch of new technology products, driving rapid Proof of Concepts, Prototypes, and MVPs with software engineering and cloud operations.

  • Digital Product and Program Management

  • PoC and Prototype Development

  • Data Architecture and Schema Design

  • Technology RFP Advisory