![iStock-500600612 (2).jpg](https://images.squarespace-cdn.com/content/v1/5cd2069cc2418800017daf1e/1557270262395-7THOSN0CB0V5HKVKB7QA/iStock-500600612+%282%29.jpg)
data ARCHITECTURE and CLOUD information PLATFORM
Digital Support and the Electronic Recovery Record (ERR).
RecoveryLink™ is more than just peer recovery support or technology. The company aims to provide a suite of accessible and impactful recovery support tools designed to elevate collective impact.
The RecoveryLink™ platform is based on a recovery-oriented system of care and recovery management approach. The core SaaS application and integrated microservices offers evidence-based recovery planning and recovery capital domains to promote long-term success.
Launched in 2020, RecoveryLink™ relies upon sr4-DIS for the creation, architecture, and management of its cloud data platform. Central to the configuration and deployment of the platform has been information security for a HIPAA compliant environment, data analytics and reporting, and the deployment of the nation’s first Electronic Recovery Record (ERR) for peer recovery support services and health record integration.
Data science is just getting started.
We find ourselves at the early stages of an emerging field of study and work. The research methods, processes, algorithms, and cloud computing systems being designed to extract knowledge and insights from structured and unstructured data are evolving on a daily basis.
Our work is firmly focused on making data more helpful and useful in the key moments when people need to determine what is needed to keep themselves, and those they care for, well . To do this, we must study, learn, and invest in new techniques for a rapidly changing landscape.
![iStock-1091619930(3).jpg](https://images.squarespace-cdn.com/content/v1/5cd2069cc2418800017daf1e/1557289778245-N2C1W0PEF2V4UYBXLBL7/iStock-1091619930%283%29.jpg)
Current portfolio work for common good impact.
Cloud data architecture.
If we are to advance in new fields of study, research, and social services, we need public and private cloud data environments that allow for the rapid and secure curation, processing, and querying of big data. Our work in cloud data architecture and data engineering involves assessment and resource profiling, core infrastructure configurations, and ETL | ELT data transfer applications for moving data into analytic tools for those who need to act on information within organizations.
Applied data science and analytics.
We believe there is another level of data analytics that pushes beyond the base collection and reporting of business and organizational data to optimize web usage. Our team focuses on applied analytics within structured data platforms that can enrich the queries and algorithms applied to your most important data questions. Working largely in Google Cloud, R, and SQL environments, our team is actively developing ways to rapidly deploy organization-specific data platforms for key metric reporting, analysis, and dashboard publications.
DataOps integration.
Almost every development undertaken today requires data modeling, structuring, API calls, and integration of database and storage protocols. Our team is has a breadth of front-end and back-end knowledge that can be called upon for project integrations. This handling of DataOps allows for platform and data engineering for application deployments and reporting outputs that may be required for operational integrity or client services.
Data bridges to points of support.
People go online to seek guidance every day—from where to find nearby help to how best to heal. We are working to better understand and support those dedicated professionals and counselors who need access to diverse resource directories in order get people to the right points of entry within our communities. Our focus is on novel asset mapping techniques that are applied to make non-formal support and care—those resources outside traditional healthcare systems—more accessible through data bridges to those on the front lines.