Data Management Methods/Techniques

GVS Data Methods /Techniques are based on current best practices and outcome expectations. We utilize the current government and business guidelines.

Problem Identification: The framework begins with Problem Identification. Stakeholders are identified and provide input for potential Alternate Solutions with identified outcomes/consequences.
Resource Identification: GVS identifies resources needed to produce the selected outcome. GVS identifies missing resources and potential substitute indicators to produce the selected outcome.
Data Collection and Verification: GVS supports multiple methods for data collection and verification

Enterprise Architecture tools
Intelligence Collection for:
- Open Source Data Collection
- Surveillance
- Human Verification of Data Collected

Data Confidentiality and Security: GVS follows current government and business best practices for confidentiality and data security. GVS provides threat assessments of the current employed system and potential solutions that meet the client needs.
Data Integrity and Validity: GVS evaluates the validity of collected data prior to analysis.
Data Availability: GVS validates sources of data to support data analysis and decision-making.
Data Analysis: GVS provides data analysis for:

Intelligence Analysis using:
- Open Source Data Collection
- Surveillance
Special Capabilities
- Small Unmanned Aerial Systems (sUAS)
- Verify media and open-source information
Supply Chain Analysis
Alternate Solution Analysis with identified outcomes/consequences