Relational Database Management

Proprietary data management

Overview of Floyd|Snider Contributions

Data validation and QA/QC
Data handling and management tailored to project needs
Customizable data storage and reporting
Historical dataset compilation
Data Exploration Tool with In Situ Soil Data
Number of Groundwater Locations Sampled for Each Analyte Class, Summarized by Event
Multi Method QC Process

Our Approach

Our team of data managers and database administrators maintain client data in our proprietary relational database, which is custom-designed to meet environmental data storage and processing needs.

Our approach to data management provides data-type validation and referential integrity to ensure client data are reliably stored and efficiently and accurately reported, from initial data collection to project closure.

Our Approach

Our team of data managers and database administrators maintain client data in our proprietary relational database, which is custom-designed to meet environmental data storage and processing needs. Our approach to data management provides data-type validation and referential integrity to ensure client data are reliably stored and efficiently and accurately reported, from initial data collection to project closure.

Database Documentation Tool Interface

Tools and Software

SQL Server

SQLite

Microsoft Access

Proprietary Automated Validation Tools

VBA/RStudio/Python

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