DHHS needed a better way to manage their data, apply it and meet the needs of the future.
Working with the Department of Health and Human Services, Data Agility applied our Enterprise Data and Analytics framework to develop a solution for them.
The Department of Health and Human Services was established on 1 January 2015.
This brought together the staff and functions of the former Department of Human Services, Department of Health and Sport and Recreation Victoria to better align and integrate social policy and service delivery to improve the health and wellbeing of the Victorian community. The objective of the work was to apply effective Information Management to ensure data is managed as a valuable asset to underpin decision making.
The Department of Health and Human Services is a large department with a lot of data and business units. They needed a better way to manage their data, apply it and meet the needs of the future.
We applied our Enterprise Data and Analytics framework which was characterised by collaboratively working with the department.
Building reliable data
Reliable data is critical to the department’s and its partner providers’ ability to:
- Deliver timely, accurate client services
- Develop and measure the effectiveness of policy
- Achieve greater efficiency, effectiveness and productivity
The Strategy focuses on materially improving the reliability of the data it applies operationally and to analysis. It does this though a structured approach using data profiling to analyse the data, and from there, build data quality improvement plans.
Sharing data, data integration and metadata
The ability to share data is premised on a common understanding of key terms. The Strategy applies a non-traditional data integration approach. The current metadata management program Meta is leveraged to build understanding of metadata, which will be crucial to data sharing and data integration.
The Strategy sets out an approach to information security that balances the needs of IM and information security – the concept is to enable and protect.
BI and analytics
Standard reporting tools and secure data storage
The Strategy advocates the use of standard reporting tool sets, standard reports where appropriate and getting off-paper through the wide usage of self-service reporting and basic visualisation. The recommended toolkit supports enterprise data management.
Advanced analytical capabilities
Having built a strong platform of reliable data, commonly held definitions of key terms and approach to master data management, usage of a standard set of reporting tools and uplift of individual skills, the Strategy moves onto advanced analytics. This deploys enterprise analytical tools, specialist analytics tools, advanced visualisation and links data sets via a logical data warehouse. It delivers a targeted forecasting capability, self-service data preparation and increasing use of IoT data to trigger responses and supplement existing data. Thereafter, it applies automated decision making based on machine learning using a Data Lake together with widespread use of IoT and external data sets