Support Indigenous communities with analysis

By integrating data from case management systems with data from various sources – social benefits, education, health care, law enforcement, criminal justice systems, etc. – SAS will work with representatives from Blackberry, Forest Green and other technology partners to safely use advanced analytics to spot trends , uncover patterns and identify key relationships. The plan will enable data collection and system administration, community management, alarm notification and crisis communication. It will also allow families to securely share sensitive records with law enforcement agencies and healthcare providers. Ultimately, the project will help identify high-risk situations more quickly, allowing case managers to intervene faster, save more lives and provide appropriate resources and support before situations become difficult.

The original data and analysis forum

On June 7, 2017, the original controlled technology forum of Ottawa First Nations Chiefs from across the country brought together representatives from Blackberry, SAS, Forest Green and other technology partners to discuss this crisis and how data analytics technologies can be used to prevent violence and improve health outcomes. in indigenous communities.

The panel discussed the challenges of working with data collection and analysis. How can indigenous communities improve data collection? How should data structure and data sharing change in these communities? How can the quality of data be used to improve outcomes for both communities and their residents? Overall, the group will work with the indigenous community to:

  • Get a comprehensive view of all available data for indigenous women and girls by using data management techniques to integrate this data across all available sources.
  • Apply data customization and link analysis to determine important matters.
  • Quantify the security risk of indigenous women and girls using advanced analytical methods that calculate the overall risk score for each woman and child by using predictable models to tackle a wide range of vulnerabilities.
  • Quickly alert case managers about important status changes. Software will monitor all available data sources and automatically alert case managers when changes occur that affect a woman’s or child’s risk score. Risk scores are recalculated continuously based on the most up-to-date information.

“Effective community leaders need up-to-date and accurate data to make decisions, allocate funding and employ staff,” explains John Paul, Executive Director, Atlantic Policy Congress for the First Nations Chiefs Secretariat. “In many cases, indigenous leaders have fewer administrators and IT staff to perform analysis than their municipal, provincial or federal counterparts. This highlights the importance of using solutions that other governments and companies in the private sector have paid for research and development. “

No level of abuse or neglect is acceptable. But it is even more disturbing to hear that in many cases of abuse or neglect, information was available that could have helped identify high risk situations before tragic results came. Canada is not immune, and the cases of Alexandru Radita and Jeffrey Baldwin are sad reminders that critical missing data can be key to a child’s well-being.

Unfortunately, caseworkers cannot easily access the information they need. This prevents them from effectively using all available information to continuously monitor each child’s overall security risk. Aggravating conditions, budget constraints have burdened staff tasked with ensuring the safety of children at risk, and large caseloads limit the time they can devote to each case.

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