Data Analytics
Foresee the problem. Control the outcome.
OVERVIEW
Hidden within the terabytes of new data produced daily lie pieces of vital information that– when connected and analyzed in context– inform new actionable intelligence. ManTech’s advanced capabilities allow our skilled specialists to make key connections among the data, enabling better, faster decision-making.
Data Analytics Capabilities
Cyber Analytics
ManTech’s extensive experience with providing advanced cyber analytics to critical missions across the federal government informs our development of scalable solutions based on cutting-edge analytics and threat modeling to detect, deter, and disrupt advanced cyber threats.
- Intrusion Analysis
- Cyber Threat Intelligence
- Incident Response, Cyber Investigations & Forensics
- Insider Threat
- Network/Security Operations Center (NOC/SOC)
- Security Information and Event Management (SIEM)
Business & Intelligence Analytics
ManTech provides the full range of analytics to deliver the actionable intelligence essential to accomplishing your mission cost-effectively, with speed, efficiency and accuracy.
- Analytics Solutions
- Service Management Solutions (CRM, SLA, OLAs, Maintenance)
- Platform Analytics Solutions
Machine Learning
Unsupervised machine learning is of growing importance to ManTech customers. The primary role of this form of learning is classification of features that are well understood by mission SMEs and analysts. In this way, our teams can codify analyst-driven business rules into code that implements standard or creative unsupervised learning algorithms around one or many isolated or integrated datasets. We develop models for machine learning tools that deliver intelligence from and are in turn taught by data throughout their lifecycle. Applications:
- Streaming Analytics
- Workforce Automation
- Recommendations Systems
- Deep Learning
- Cognitive Computing
Data Collection
ManTech architects, designs, engineers and deploys ingest sub-systems with the ability to manage all types of data formats – structured, semi-structured and unstructured – end-to-end from the acquisition phase through processing, clean-up and tagging at various volumes and velocities. We collaborate with key government stakeholders (data owners, data stewards, system owners, and others) to establish comprehensive governance practices that establish best practices for adjudicating department, agency, and organizationally relevant rules to ensure efficient data collection, management and access. In a major step beyond commercial data management systems, we offer features essential to supporting the missions of military and IC customers:
- Ingest at scale with tagging
- Streaming, batch and hybrid capabilities
- Data stores with auth engine
- API engine to auth engine of data store
- Minimization processes for analytics reports
- Robust tagging to support logical tagging of data by type
- Public key infrastructure (PKI) for user access
- Identity and Access Management (IdaM) with ability to store user/group attributes
Cyber Analytics
ManTech’s extensive experience with providing advanced cyber analytics to critical missions across the federal government informs our development of scalable solutions based on cutting-edge analytics and threat modeling to detect, deter, and disrupt advanced cyber threats.
- Intrusion Analysis
- Cyber Threat Intelligence
- Incident Response, Cyber Investigations & Forensics
- Insider Threat
- Network/Security Operations Center (NOC/SOC)
- Security Information and Event Management (SIEM)
Business & Intelligence Analytics
ManTech provides the full range of analytics to deliver the actionable intelligence essential to accomplishing your mission cost-effectively, with speed, efficiency and accuracy.
- Analytics Solutions
- Service Management Solutions (CRM, SLA, OLAs, Maintenance)
- Platform Analytics Solutions
Machine Learning
Unsupervised machine learning is of growing importance to ManTech customers. The primary role of this form of learning is classification of features that are well understood by mission SMEs and analysts. In this way, our teams can codify analyst-driven business rules into code that implements standard or creative unsupervised learning algorithms around one or many isolated or integrated datasets. We develop models for machine learning tools that deliver intelligence from and are in turn taught by data throughout their lifecycle. Applications:
- Streaming Analytics
- Workforce Automation
- Recommendations Systems
- Deep Learning
- Cognitive Computing
Data Collection
ManTech architects, designs, engineers and deploys ingest sub-systems with the ability to manage all types of data formats – structured, semi-structured and unstructured – end-to-end from the acquisition phase through processing, clean-up and tagging at various volumes and velocities. We collaborate with key government stakeholders (data owners, data stewards, system owners, and others) to establish comprehensive governance practices that establish best practices for adjudicating department, agency, and organizationally relevant rules to ensure efficient data collection, management and access. In a major step beyond commercial data management systems, we offer features essential to supporting the missions of military and IC customers:
- Ingest at scale with tagging
- Streaming, batch and hybrid capabilities
- Data stores with auth engine
- API engine to auth engine of data store
- Minimization processes for analytics reports
- Robust tagging to support logical tagging of data by type
- Public key infrastructure (PKI) for user access
- Identity and Access Management (IdaM) with ability to store user/group attributes
THE MANTECH DIFFERENCE
ManTech architects, designs, engineers, and deploys ingest sub-systems that manage all types of data formats end-to-end from the acquisition phase through processing, clean-up and tagging.
ManTech understands that there is never any “one size fits all” approach to an analytic program. To deliver the intelligence our customers require, we develop analytics specific to the mission and mapped to its volume, velocity, variety, and veracity requirements.