Data Science Services

Our services encompass the following key components:

Data Acquisition: Identify, negotiate, and acquire access to external data sources on behalf of customers to obtain and deliver the data needed to support their operations including the negotiation and drafting of data sharing agreements where required.

Data Engineering: Perform the analysis, engineering, and implementation needed to extract, transform, and load (ETL) customer data to achieve the required syntax and format that is needed to support downstream analytic and decision support activities.

Data Ingest: Provide comprehensive services for designing, developing, securing, testing, validating, authorizing, deploying, and operating data ingest solutions for rapidly and securely bring external data into customer systems to support their data, analytic, and decision support activities.

Data Tagging: Provide comprehensive metadata tagging across all relevant customer data sets including metadata source tags, content tags, format tags, version tags, change tags, geo location tags, security tags, releasability tags, and sharing tags.

Data Quality Control: Ensure quality control of customer data by implementing rigorous data quality checks, validation routines, and monitoring mechanisms to ensure data quality, accuracy, integrity, and compliance with security and privacy regulations.

Data Security and Privacy: Design, implement, test, authorize, deploy, and operate stringent security measures to protect sensitive passenger data and comply with relevant security and privacy regulations like FISMA and the Privacy Act.

Data Pipeline Automation: Design, build, test, authorize, deploy, operate, and maintain robust and scalable data pipelines to automate data acquisition, engineering, ingestion, tagging, quality control, and security/privacy across diverse data sources, ensuring efficient, error-free data flow and integration.

Integrated Data Operations: Plan, implement, and conduct integrated data operations (e.g., data acquisition, ingest, engineering, tagging, quality control, and security/privacy) in support of ongoing customer missions including system administration, cyber defense, and incident response.

Data Governance: Formulate, design, implement, test, authorize, deploy, and operate data governance solutions and processes to support customer data operations including the generation and maintenance of attribute-based access control policies for data access and sharing.

Data Performance Monitoring: Design, instrument, build, test, deploy, and operate data performance monitoring solutions to provide continuous monitoring of ongoing data operations to monitor status, detect problems, and alert appropriate parties to data performance issues and shortfalls.

Data Process Optimization: Continually monitor and analyze ongoing data operations to identify, design, implement, test, authorize, and deploy data process improvements.