Case Study - FEHD(2)
Transformed Unstructured Data for Visualization
Public Health Data
Information related to food safety inspections, environmental health assessments, and disease outbreak reports.
Licensing and Regulatory Compliance
Records from the licensing of food establishments, waste management facilities, and other businesses regulated by the FEHD.
Surveillance Systems
Data collected from surveillance of foodborne illnesses and environmental hazards, which helps in monitoring public health trends.
Community Feedback
Inputs and complaints from the public regarding food safety, hygiene standards, and environmental issues, which are crucial for responsive governance.
Research and Studies
Findings from academic and governmental research that inform policy decisions and operational practices within the department.
Collaboration with Other Departments
Data shared with and received from other governmental agencies, such as the Environmental Protection Department and the Department of Health, to ensure a coordinated approach to public health and safety.
This integration of diverse data sources enables the FEHD to effectively manage public health risks and enhance the quality of life for the community.
Challenge
The FEHD faces significant challenges in managing and visualizing the extensive historical data housed within its various Oracle databases. With information coming from a multitude of diverse sources and existing in different formats, the task of consolidating and interpreting this data has become increasingly complex. This complexity demands considerable labor and resources to maintain high service quality and operational efficiency. As the volume of data continues to grow, the need for a more streamlined and effective approach to data visualization becomes critical for informed decision-making and improved service delivery.
Objective
To address these challenges, the FEHD is committed to implementing an automated and systematic approach designed to effectively manage and comprehend the ever-growing volume of information. By leveraging advanced visualization techniques and innovative analytical tools, the FEHD seeks to transform raw data into actionable insights. This strategic initiative will not only enhance decision-making processes but also align with the department’s mission and objectives, ultimately fostering improved service delivery and operational efficiency. Through this approach, the FEHD aims to empower its staff with the tools they need to derive meaningful conclusions from data, driving positive outcomes for the communities they serve.
Solution
Our Data Visualization Solution will consist of several key steps designed to prepare the FEHD’s data for effective use with downstream visualization tools such as Power BI, Tableau, and QlikView.
Data Collection
Redesign the Data Collection Workflow
- Revamp the existing workflow to enhance efficiency and accuracy in data gathering.
Streamline Ingestion from Multiple Source
- Implement automated processes to facilitate the seamless ingestion of data from diverse sources, ensuring timely and reliable updates.
Simplify Overall Data Flow
- Optimize the data flow to minimize bottlenecks and enhance accessibility for stakeholders.
Data Cleansing
Identify Clusters of Similar Data
- Utilize advanced algorithms to detect and group similar data entries, reducing redundancy and improving overall data quality.
Analyze Distribution of Similar Data
- Examine the patterns and distributions of these clusters to uncover insights that inform decision-making.
Data Transformation
Data Enrichment
- Enhance existing datasets by integrating additional relevant information, providing a more comprehensive view for analysis.
Data Auditing
- Establish rigorous auditing processes to ensure data integrity and compliance with relevant standards and regulations.
Data Validation
- Implement validation checks to confirm the accuracy and reliability of the data before it is used for analysis.
Results
Our solution will empower the FEHD to prepare both unstructured historical data and ongoing data collected from multiple sources for effective visualization. By transforming this information into a format ready for visualization, the FEHD will enable more effective analysis, making complex data easier to understand and communicate through compelling storytelling. Furthermore, our solution is expected to significantly streamline the reporting process, reducing the time needed to generate reports from hours to just minutes. Users will also be able to export data to various visualization tools, enhancing accessibility and usability for stakeholders. This improvement will facilitate better decision-making and foster greater collaboration across the organization.
