The development of DTM tools has been largely based on technological transformation that continuously requires innovative solutions. Through the years, the team has been developing a range of innovative initiatives in order to respond to the increasing requests from Governments and expectations from humanitarian partners. Recent work with private sector enterprises including ESRI, Deloitte, and SAS, among others, reflects the effort to strengthen the DTM and highlights the commitment to build innovative and effective tools for information management in humanitarian crisis settings.

Advanced and Predictive Analytics for Disaster Response through DTM, in partnership with SAS

SASSAS develops analytic software, which helps manage, access, analyze and report on data to aid decision making. IOM has been pursuing an initiative with SAS in order to strengthen DTM analytic for improved targeting of responses. The objective of this partnership is to strengthen the analysis of DTM data collected in the field and provide more and better insights and information for use at the operational and strategic level. By leveraging a powerful and user-friendly data analysis and visualization platform, SAS brings the capability to quickly analyze and disseminate DTM data directly to partners and stakeholders. This is essential for better targeting programming and operational responses in displacement sites.

Improved analysis of historical data in comparison to current data being collected has the potential to positively impact planning and better targeted and prioritized operational responses. For example, the initial analysis of the Philippines data from 2009 to 2014 using SAS Visual Analytics (VA) found that underlying tensions with host communities and irregular food distributions was linked with higher number of incidents of rape and attempted rape. As such, IOM and SAS intend to build a solution to better leverage the multi-year historical DTM data across IOM country missions in efforts to strengthen the protection of displaced persons seeking protection and assistance in displacement sites.

Geo-enabled DTM-based Incident Management Solution, in partnership with ESRI

ESRIESRI is an international supplier of Geographic Information Software (GIS), web GIS and geodatabase management applications. The IOM, ESRI partnership was initiated with the vision of creating a geo-enabled incident management platform to improve displacement management. IOM and ESRI are leveraging their expertise in displacement management and geographic information systems, respectively, to develop a set of adaptable solution templates that will provide clients with a set of robust tools for enhanced preparedness and response to disasters. The objective of this partnership is to strengthen the management of incidents and coordination of service provision at the displacement site level by developing an interactive geo-enabled platform. The platform will be composed of a set of standardized and customizable templates that can process and analyze DTM data collected in the field and trigger a set of reactions that prompt operational responses. These set of tools will facilitate faster response time to process and share information during an emergency. The templates will be used by IOM for its camp coordination and camp management activities globally. To ensure sustainability, IOM, in certain contexts, will transfer the tools and know-how to national disaster management agencies and ESRI will standardize the solution templates for commercial use of other interested humanitarian and/or disaster management actors.

Improved DTM through process mapping and development of data dictionary, in partnership with Deloitte

DeloitteIOM teamed with the global professional services firm Deloitte to improve the DTM through the development of process maps and DTM global data dictionary. These tools seek to foster a better understanding of how DTM is playing an active role in camp management activities and support the management and coordination between service providers during the response. Workshops and meetings were organized to map out and analyze DTM processes, decisions and activities to identify cross-cluster dependencies and information flows related to CCCM and DTM implementation. Process modeling addressed pain points and streamlined workflows to enable utilization of improved management concepts by operational staff.

The process maps are intended to benefit the wider humanitarian community and will continue to be developed in collaboration with other clusters, to recognize mutual information requirements and facilitate coordinated, effective and efficient humanitarian responses. The resulting process maps are used to establish the DTM global data dictionary – which defined the structure of the DTM’s Central Data Warehouse (CDW) and subsequently guide the further DTM development both on technology and processes.