Location Intelligence Targets Information for Development

Connected World Ballroom F
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Location Intelligence (LI) transforms how public health and agriculture initiatives are managed and monitored by translating big complex data from multiple sources and varying temporal and spatial scales into local, actionable insight. Innovative tools and data techniques are utilized for comprehensive data collection, integration, and analysis to dynamically visualize information crucial for local to national logistical and strategic insight. LI empowers national governments and global development organizations to focus on saving lives and building healthy, sustainable communities.
Information is the foundation of every successful national initiative whether driven by government policy makers or international aid organizations. Location and time plus descriptive attributes are the focus of an innovative database architecture enabling the integration of critical data from many strategic sources.

A structure to manage BIG DATA

  • The architecture and organization of data – by location and time
  • Generic technology stack
  • Data sources
  • Templates, smartphones, remote sensing, weather stations, spatial interpolations, predictive models, social data.
  • Features like dynamic spatial and temporal aggregation, meta-data
  • Demonstration of modular user interfaces
  • Monitoring
  • Evaluation
  • Weather
  • Reports
  • Alerts
  • Notifications

Business applications

  • Monitor and evaluate objectives with location-based technology, track impact in real time with mobile data collection, and implement mid-course optimization.
  • Assess impact on the well-being of individuals, families, and communities with local to national relevance by quantifying results and understanding “where, when, and why”.
  • Manage data, massive data, to create an integrated national data asset empowered with access to the global information ecosystem. Remotely sensed, weather, handhelds – massive data all with location and time as common attributes.
  • Collaborate within and across projects, locally or globally, across people, projects and resources to share insight, recognize results, publish to the public, and engage the donors.
  • Act on evidence-based decisions and early warnings using real-time location-specific information for policy guidance, operational decision support, and local impact.
  • Understand the impact of localized weather and climate on development initiatives then target specific interventions by applying integrated analysis of local weather data content.

Data currently spread across many programs and sources have much greater impact if integrated into a common, context-generating infrastructure. Contextual insight allows for better decisions, smarter investments, and predictable results within and across programs.

Attend this conference to learn about practical, pragmatic implementation of how Location Intelligence in conjunction with big data techniques can be implemented for national development initiatives – growing the value and power of a location intelligence infrastructure for developing nations. Data collected for one initiative is easily, but securely accessible across all initiatives to benefit overall national development such as: Malaria and other public health campaigns, food security policies and administration, agricultural research and extension, and famine early warning systems.

Photo of Stewart Collis

Stewart Collis

aWhere Inc.

Mr. Collis is the Chief Technical Officer of AWhere Inc. He has over 15 years’ experience in all phases of design, development and management of software development projects for desktop and web applications. He has an education in Engineering Science and Computer Science with a focus on spatial information systems and remote sensing and applied experience in agricultural research science and natural resource management applications. He has experience developing software for use and distribution in developing countries and has worked on a variety of software and database development projects with various international research organizations, NGO’s and in-country government departments. More recently his focus has been on development of integrated spatial intelligence systems and user interfaces to allow non-technical users access to the enormous power of big spatial temporal data and visualizations.


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