Condor MAPS offers an array of business and systems analysis capabilities in support of GIS, IT, Data Collection, Engineering, and Environmental Projects. Whether analyzing a single component, an entire system, or providing iterative improvements, Condor’s ASQ Certified Process Analyst staff can provide statistical process control, statistical testing, reliability estimation, quality analysis, and more.
Analysis Services include:
- Business Process Improvement
- Project Management Support
- Reliability Engineering and Analysis
- Requirements Elicitation and Analysis
- Statistical Support
Business operations are composed of processes designed to add value by transforming inputs (materials, labor, energy, etc) into useful outputs (products, services, and deliverables). By modeling and reengineering these processes with strategic technology adoption (GIS, IT, Application Development), these business processes can be significantly improved to maximize throughput and quality, while minimizing cycle-times and error.
Business process improvement services include:
- Business Process Modeling
- Business Process Reengineering
- Cost of Quality Analysis
- Performance Analysis
Our ASQ Certified Analysis staff can aid in better project planning and decision making that can, at the outset of a project, make the difference in its success. We provide feasibility studies as a preliminary undertaking to determine and document a project’s viability. The results of this study are used to make a decision whether to proceed with the project or table it. If it indeed leads to a project being approved, it will — before the real work of the proposed project starts — be used to ascertain the likelihood of the project’s success. It is an analysis of possible alternative solutions to a problem and a recommendation on the best alternative.
Project management support services include:
- Feasibility Studies
- Standard Spreadsheet Analysis (Return on Investment, Net Present Value, Internal Rate of Return, Total Cost of Ownership)
- Probabilistic Risk Analysis (Value at Risk)
- Decision Analysis
- Multi-criterion Decision Making (Analytic Hierarchy Methods, etc.)
- Alternatives Analysis
- Component Optimization
- Probabilistic Cost and Schedule Estimation
- Contingency Estimation with Confidence Estimates
- Sensitivity Analysis
Condor MAPS analysis offers design and analysis of reliability and availability of engineered systems. Reliable designs offer the redundancy, component availability, and base reliability to keep a system available and minimize losses due to failures. Analysis of existing systems may enable redesign that minimizes risks due to failure. Additionally, strategic maintenance plans may be prepared to optimize reliability and availability under budgeted constraints.
Reliability engineering and analysis services include:
- Failure Mode, Effects, and Criticality Analysis (FMECA)
- Reliability Engineering
- Reliability Analysis
- Maintenance Optimization Planning
Our analysis services also incorporate requirements engineering, which consists of two basic elements— requirements elicitation and analysis. Requirements elicitation produces a specification of the system that stakeholders (especially our clients) understand and approve. Similarly, requirements analysis produces models that developers unambiguously understand, and that effectively bridges the informally stated functional needs of a client and the programmatic understanding that developers need for prototyping, refinement, and deployment.
Requirements engineering services include:
- Requirements elicitation
- Stakeholder Analysis
- Requirements Gathering
- Requirements Specifications
- Requirements Analysis
- Process Mapping (BPMN or UML)
- Specification Goal Measures
Statistical and probabilistic methods are ubiquitous in the sciences, computer science, and management. Condor MAPS offers aid in applying statistics for hypothesis testing (t-tests, z-tests), modeling (model selection, regression), statistical process control (run charts, control charts), experimental design (sampling plans, test design), and more. Our analytical methods include statistical, decision theoretic, and approximation techniques, utilizing a variety of software varying from R and Minitab to Decision Suite and Excel.
Statistical support services include:
- Summary Statistics
- Inferential Statistics
- Design of Experiments
- Data Mining