Business agility is essential for organizations to remain competitive and successful. Whether it is to automate new or existing business processes or to adapt to external market demand, organizations must be responsive to a fast changing marketplace with robust, scalable and secure applications.

1. Early and Active Client Engagement: Retain focus on the customer’s perspective by working closely with them to capture requirements as user stories using leading collaboration tools, such as Confluence leads to applications with an engaging user experience.
2. Rapid Growth: Leverage benefits of the modular architecture of microservices to realize significant code and data reuse, allowing faster and easier development, testing and implementation of software releases.
3. DevOps: Incorporate DevOps principles of Continuous Integration (CI) for early problem detection through frequent verification via automated builds, and Continuous Delivery (CD) to deliver new features, enhancements and services with little to no service interruption or performance degradation.
4. Improved Resilience: DevOps practices and use of microservices to improve fault isolation, efficient application of fixes for increased availability and improved resilience of the application.

1. Workforce: Skilled team proficient in use of agile methodology for efficient software development and practicing DevOps principles with a deep understanding of engaging the customer at each step of the product lifecycle.
2. Intelligent Solution: Design and build an application with comprehensive focus on all requirements and maintaining full transparency and responsiveness to client needs.
3. Effectiveness: Employ DevOps principles breaking down silos between Development and Operations teams resulting in shared accountability for the application throughout the entire lifecycle.
4. Reduced Cost: Close collaboration with customer ensures that less rework during the application development lifecycle. Modernization of legacy applications also results in maintenance cost savings.

Digital modernization and transformation leading to newer opportunities and also newer risks and threats. The challenge is to proactively detect, respond and recover from enterprise level cyber risks and threats.

1. Access Management: Access management solutions built into the applications for role bases access integrated with the enterprise Active Directory.
2. End Point Defense: Strengthen Endpoint Defense by inventorying (un)authorized devices and software, securing hardware and software configurations, and email and browser protections.
3. Vulnerability Assessment: Conduct Continuous Vulnerability Assessment and systems Remediation.
4. Governance, Risk and Compliance: Support customers by selecting, implementing, testing, and monitoring critical NIST SP 800-53 Rev. 4 security controls.

1. Skilled Workforce: Skilled team with experience in implementing agency-wide Cyber Risk Model (CyRM) to reduce exposure to risks.
2. Intelligent Solution:
   • Conduct Incident Response and Management by developing and implementing a response infrastructure.
   • Improve Boundary Defense by detecting, preventing, and correcting information flow between systems with different trust levels.
3. Effectiveness: Improve Data Protection by preventing data exfiltration and mitigating data spillage effects.
4. Reduced Cost: Build better code and conduct code refactoring to make systems more secure without sacrificing efficiency.

Organizations have always faced the challenge of drawing meaningful conclusions and lessons from operations data and applying that knowledge toward making better decisions in the future. This challenge is even more pronounced in present times where data is generated at orders of magnitude greater than ever before, presenting an unprecedented opportunity for organizational leaders to draw intelligent insights.

1. Data Integration: Assess, extract, transform based on well-defined business rules, and standardize disparate data sets from multiple source systems into a unified repository used for data analytics.
2. Data Virtualization: Leverage tools such as Denodo to virtualize data from disparate sources and serve it up to targeted stakeholders allowing them to run self-serve business intelligence reports against the integrated data.
3. Data Quality: Assign rules of precedence and data quality index to data elements extracted from multiple sources to qualify the analysis results.
4. Data Visualization Dashboards: Offer intuitive, interactive, and visual dashboards that allow exploratory data analysis. Users can dive into the data to identify patterns and discover trends in tools such as Kibana and Tableau.

1. Skilled Workforce: Skilled team experienced in understanding different types of data and applying the right data analytics tools and approaches to extract the most relevant information to develop actionable insights.
2. Intelligent Solution: Transform data into timely and meaningful information usable as a strategic asset for decision-making. We apply the right solution depending on client need – by implementing it in a COTS product, such as Tibco’s Spotfire, SAS Visual Analytics, Tableau or to develop the solution in our own asset management cloud-based solution with data analysis features, iAssetAware.
3. Effectiveness: Our solutions leverage exploratory data analysis to sift through structured and unstructured data to identify patterns, trends, and correlations.
4. Reduced Cost: We apply the most practical approach when implementing data analytics capabilities for an organization aiming for the optimal balance between features and price to deliver the right solution at the right price for our customers and leveraging powerful open source data analytics software when possible.

As an organization grows, so do its technology investments and organizations often find themselves with a myriad of IT investments funding many systems without being informed by any form of strategic vision or objectives. This leads to a state of unpreparedness, leaving an organization vulnerable to losses in productivity and profitability.

1. Organizational Mission Alignment: Develop and establish Enterprise Architecture program to align federal and commercial clients’ investments, resources and processes to organizational strategic objectives and mission.
2. EA Functional and Technical Expertise: Complete standup and maintenance of COTS EA products (Unicom System Architect, Planview Troux) on client network. Recommend selection of and train client EA staff on FEAF or DoDAF EA framework based on needs assessment. Train client EA staff for proficiency on FEAF reference models and DoDAF Viewpoints and Models.
3. Roadmap and Current/Future/Transition Architectures: Develop critical enterprise to optimize use of key organizational resources for maximum benefit. Empower enterprises to reach desired future state by developing current state, target state and transition architectures.
4. Organization-wide EA Data Access: Universalize EA benefits by building and deploying across enterprise a portfolio of pre-defined and custom web-based architecture EA data reports.

1. Skilled Workforce: Skilled team proficient in EA practices, principles, multiple frameworks (DoDAF, FEAF), and technologies enabling enterprises to realize the benefits modeling, documenting and managing the architecture of the organization.
2. Intelligent Solution: Establish senior leadership-approved EA scope, conduct EA stakeholder analysis, develop EA communication plan, and formalize a governance plan to sustain the enterprise architecture.
3. Effectiveness: Phase gate and milestone architecture reviews of IT applications and of investments funding these applications milestones ensure that the technology spending is aligned with the enterprise target state and the strategic organizational objectives.
4. Reduced Cost: Demonstrate cost savings opportunities by consolidating redundant applications identified by mapping applications to EA reference models.

Increasingly, organizations are realizing significant benefits (application performance enhancement, scalability, offloading the infrastructure operations to the cloud provider) by moving some or all of their enterprise IT solutions to the cloud. Application transition to the cloud must be carefully managed and to minimize any disruption or service interruption to the customer’s business services.

1. Cloud Candidacy Process: Apply our process which includes a detailed questionnaire aimed to determine suitability of an IT application as a candidate to be migrated to cloud hosting.
2. Cloud Total Cost of Ownership Calculation: Developing a total cost of ownership estimate for a client application to be moved to the cloud is important as it is not simply the current brick-and-mortar TCO. We develop this calculation as it is critical to decision-making process of whether to move to the cloud.
3. Cloud Deployment Model Selection: Support our customers in evaluating between different deployment models, i.e., Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS) to strike the optimal balance between control, flexibility, and cost.
4. Cloud Migration Services: Services to migrate our customers’ candidate IT applications and data from brick-and-mortar infrastructure to the cloud while managing security, application performance and cost.

1. Skilled Workforce:
2. Intelligent Solution:
3. Effectiveness:
4. Reduced Cost:

In today’s world, organizations deal with a deluge of data and are recognizing the untapped potential of this voluminous amount of data as a key enabler of data-driven decision making.

1. Automated Data Analysis: Support organizations in automated methods of data analysis through machine learning algorithms.
2. Predictive Analytics: Apply machine learning methods to detect patterns in massive quantities of data and use these patterns to predict future behaviors or outcomes.

1. Skilled Workforce:
2. Intelligent Solution:
3. Effectiveness:
4. Reduced Cost:

Workforce training and development is one of the cornerstones of continuous improvement and meeting/exceeding organizational performance goals. Training employees to learn new skills and reinforce existing ones are essential to a happy and more productive workforce.

1. Proven Philosophy: Design training to maximize workforce potential, skills, and competencies using ADDIE instructional systems design methodology and the revised Bloom’s Taxonomy.
2. Multiple Delivery Methods: Optimize training delivery based on learner need and course content. We offer instructor-led, classroom, self-paced, simulation and scenario-based training.
3. Diverse Training Offerings: Training courses include EA theory and implementation and business process reengineering.
4. Continuous Improvement: Analyzed and incorporate learners’ survey feedback to continually improve course content and delivery logistics.

1. Workforce: Skilled team with qualified personnel to conduct training delivery to a wide range of audiences in classroom as well as online setting.
2. Intelligent Solution:
3. Effectiveness: Develop tools and techniques to assess retention of skills learned through training to maximize efficiency and productivity gains.
4. Reduced Cost: Present our customers with multiple options of training delivery to control cost.