Biometrics
Biometrics continues to grow as an industry and has gained mass user adoption and acceptance over the last several years. It remains a critical component of any identity authentication solution and promises security and facilitation benefits for organizations across a wide array of industries. However, technical and operational challenges remain such as ensuring data integrity, protecting privacy, maximizing accuracy and optimizing usability.
With nearly 25 years of production biometric system implementation experience, the Dignari team has the practical expertise required to meet our clients’ growing biometric mission needs. We provide full lifecycle support for biometric programs including vision, strategy, program transformation roadmaps, vendor capability analysis, prototyping, application development, interface definitions, UI/UX, external system integration, pilot and production deployments, public outreach, algorithm performance analysis, testing, training, human factors analysis, and ongoing operations and maintenance.
Client real world challenges
Facilitating identity verification
Maximizing identity assurance
Enhancing security
Optimizing user experience
Dignari solution
Dignari uses our 3-phased approach to helping clients successfully integrate biometrics into their operational environments. Phase 1 is understanding of current operations, identifying friction points, and establishing customer goals and objectives. Phase 2 is where we develop proofs of concepts and prototypes, implement these prototypes in operational environments, and then measure results. In Phase 3 we develop full scale implementation plans, deploy capabilities and perform business/financial analysis.
Outcomes for our customers
Stakeholder alignment on operational issues, goals and objectives
Minimum investment to quickly prove out biometric solutions in operational environments
Ability to identify which solution will have the greatest impact
Understanding of the total cost of ownership (TCO) of the entire program
Low risk implementation with end-user buy in