In Part 1, we have covered how Power BI's capabilities can help achieve critical data governance goals, especially in healthcare.
In this blog, we will cover the last two goals of data governance.
Goal 3: Complying with regulations
The healthcare sector is subject to a plethora of regulations governing data management, privacy, and security. This entails adherence to HIPAA regulations, which mandate healthcare providers to safeguard patient privacy and security. The following is how Power BI can ensure compliance:
- Compliance Reports play a vital role in monitoring adherence to regulatory requirements, including GDPR, and HIPAA. These reports facilitate the identification of potential compliance issues, enabling the prompt implementation of appropriate remedial measures.
Goal 4: Improving Decision-Making and Collaboration
When decision-making processes are improved, better patient outcomes are guaranteed through accurate and reliable data.
How can Power BI help with that?
- Data Visualization generates interactive visualizations of data, comprising charts, graphs, and tables. Such visual aids simplify comprehension of intricate data, enabling the identification of patterns and trends.
Dashboards exhibit essential metrics and KPIs in real-time. They can be shared with stakeholders, including executives and managers, to offer a prompt and comprehensive overview of business performance.
Data Exploration helps analyze data in real-time, using filters and other tools, which leads to quickly identifying insights and making informed decisions.
Collaboration with others can be done by sharing reports, dashboards, and other visualizations. It ensures that everyone is working from the same data and can make decisions based on accurate information.
Mobile Access allows you to access data and insights on your mobile device to stay connected to your data and collaborate with others, even when you're on the go.
To summarize, to achieve data governance in Power BI, it is essential to establish unambiguous policies and procedures, employ secure data sources, apply data quality controls, determine access controls, monitor usage, conduct audits, and provide training and support. Organizations can ensure that their data is accurate, secure, and regulatory-compliant by adhering to these best practices.