1. Dataflows, Validation, and Cleaning
   • Create dataflows to ensure seamless data integration.
   • Perform data validation and cleaning to maintain data quality and accuracy.
   • Connect datasets through APIs for efficient and real-time data access.
      
2. Dashboarding with Power BI
   • Internal Dashboards: Tailored for departmental and interdepartmental use, providing actionable insights.
   • County-Wide Dashboards: Designed for cross-departmental visibility and collaboration.
   • Public Dashboards: Created for transparency, highlighting data to the public as needed.
      
3. Reporting and Analysis
   • Descriptive Reports: Analyze historical data to identify trends and patterns. These reports offer insights into what has happened, helping stakeholders understand performance and outcomes.
   • Predictive Reports: Use statistical models and machine learning techniques to forecast future trends and outcomes based on historical data. These reports enable proactive planning and decision-making.
   • Prescriptive Reports: These reports provide actionable recommendations based on analysis to guide decision-making. They suggest optimal actions to achieve desired outcomes.
      
4. Integration with SharePoint, Excel, Teams, and Power BI
   • Embed and synced SharePoint Lists with Excel, Teams, and Power BI, enhancing collaboration and ensuring stakeholders have streamlined access to critical data.
      
5. Data Monitoring and Record-Keeping
   • Establish data flows to automate the extraction of information from emails, websites, and documents.
   • This setup enables continuous monitoring, helping maintain comprehensive records.
      
6. PowerApps Solutions
   • Develop PowerApps to work alongside SharePoint, Excel, and Power BI.
   • These apps enable users to update and edit data efficiently, synchronizing with databases in real-time.
   • Features include:
     • Seamless synchronization with SharePoint Lists and databases.
     • Integration with Power BI for data visualization and metrics tracking.
     • Monitoring tools, such as statistics dashboards, to track data.
     • Automated workflows to generate PDF reports and email them to stakeholders on demand.
        
7. Survey Analysis with Machine Learning
   • Implement machine-learning language models to analyze survey responses.
   • These models can identify and interpret keywords and phrases, summarizing survey data efficiently without requiring manual review.
      
8. Custom Scripting for Data Transformation
   • Create scripts or Power Query to automate data cleaning, transformation, and imputation.
   • These scripts streamline workflows by handling missing data, reformatting datasets, and creating new variables for analysis.
   • Custom scripts ensure consistency and accuracy across data pipelines.
      
9. Access to SQL Database Migration
   • Upgrade and modernize legacy Access Databases by converting them into SQL databases.
   • This process includes:
     • Extracting and restructuring data to fit SQL database architecture.
     • Optimizing scalability, security, and performance.
     • Creating relationships, indexes, and stored procedures to enhance functionality.
     • SQL database management and maintenance.
     • Maintaining and creating new connections within SharePoint.
        

10. Data Pulls and Cross-Validation

• Facilitate access to intra-county data for departments and agencies with existing permissions.
• Enable seamless data requests and retrieval for faster decision-making.
• Perform cross-validation and cross-referencing of datasets to ensure data integrity and accuracy.
  
  
  *Requests must be submitted as a HappyFox ticket.
  **Requests of significant scope and magnitude may require additional documentation. Attached is the High-Level SRS Data Template. This document does not need to be completed unless deemed necessary by agents and stakeholders.
  ***Requests that involve or require data that you do not have formal or explicit access to may require a request form or proof of authorization. Attached