The Multi-Source Data Analytics and Triangulation (MSDAT) dashboard is a resource that provides a single transparent view of key health indicators across multiple data sources. Decision-makers (the government and stakeholders alike), need appropriate information to ensure that they make valid healthcare decisions and policies. With the existence of multiple data sources for key health indicators, there is the need to support the decision makers within the health system with quick analysis. The MSDAT dashboard improves the quality of health data by;

Transparently showing data and trends against multiple sources to compare variations between different sources over time

Comparing methodologies, which could account for the variations in data for an indicator

Improving the overall understanding of key trends and progress within the health sector

The problems MSDAT eliminates

Insufficiency of
quality information

Low trust in routinely
collected data

Little or no integrated and
comparative analysis of the
available health dataset

Poor accessibility


The MSDAT dashboard is a one stop analytics dashboard for performing various integrated analyses. It provides the opportunity to compare key health indicators from different data sources, thus, it serves as a platform for the various departments and agencies of the Ministry of Health to access and compare data from various national and state surveys. In addition, it enables tracking of universal health coverage.

Data triangulation from data sources such as;

  • World Bank Data portal

  • IHME (Institute for Health Metrics and Evaluation)

  • WHO-GHO (WHO-Global Health Observatory)

  • WUENIC (WHO and UNICEF estimates)

  • UNAIDS (UNAIDS Estimates)

  • MICS (Multiple Indicator Cluster Survey)

  • NDHS (National Demographic and Health Survey)
  • NARHS (National HIV & AIDS and Reproductive Health Survey)
  • NMIS (Nigeria Malaria Indicator Survey)

  • PCCS (Measles Post Campaign Coverage Survey) and many more.


    Natural Language Processing
    The MSDAT Dashboard will be able to learn how people interact with it and adapt data presentations to their preferences with suggestions from previous analysis carried out by the user or analysis by similar users

    Natural Language Processing
    This will enable the dashboard to understand and process human languages through natural language understanding and generation thus improving the interaction between users and the dashboard. It would support voice-based interactions

    Conversational Bots
    Conversational bots for providing help and support to the user without the need of human intervention will be integrated to the system


    For more inquiries and to follow up on Digital ISS please fill out the form.

    Contact Information

    Address: Abuja Office: 8 Kukawa close, off Gimbiya street, close to Top Rank Hotel, Area 11, Garki, Abuja.

    Mobile: +234 902 1720 570



    For more inquiries and to follow up on MSDAT please fill out the form