Our Services & Domains

Application Development

At ResolveSoft, our Application Development follows a process that involves the creation of software programs and applications that run on various platforms and devices. The approach to developing an application can vary depending on the specific project, but generally we follow these steps:

Planning: This involves gathering requirements, identifying the target audience, and defining the overall goals and objectives of the project.
Design: This includes creating wireframes, mockups, and other visual elements to give an idea of how the application will look and function.
Development: This is the actual coding and programming of the application. This step involves writing the code, testing and debugging it, and making any necessary changes.
Testing: This step involves thoroughly testing the application to ensure that it functions correctly and meets the requirements and goals defined in the planning phase.
Deployment: This step involves making the application available for use by the intended audience, whether it be on the App Store, Google Play, or through a web browser.
Maintenance: After the application is deployed, it needs to be maintained to ensure that it continues to function correctly and to fix any bugs or issues that may arise.
A developer can choose to use different programming languages, frameworks, and platforms depending on the project's needs. Popular languages include Java, Python, C#, and JavaScript, and popular frameworks include React, Angular, and Vue.js.

Artificial Intelligence and Machine Learning

Our AI/ML approach typically comprises of the below steps tailored to our client's appetite for adoption.

Problem definition: Define the problem that needs to be solved using AI and ML. This involves understanding the problem requirements and identifying the appropriate data to use.
Data collection and pre-processing: Gather the relevant data and pre-process it to prepare it for use in the model. This may involve cleaning, transforming, and normalizing the data.
Feature selection: Select the most relevant features in the data to use in the model. This may involve removing irrelevant or redundant features, and selecting the most relevant ones.
Model selection: Choose the appropriate ML algorithm to solve the problem. This may involve trying several different algorithms and comparing their performance to find the best one.
Training: Train the algorithm on the data to fit the model. This involves using the selected features and the data to learn the relationships between the inputs and the outputs.
Validation: Evaluate the performance of the model using a validation dataset. This may involve measuring the accuracy, precision, recall, or F1-score of the model.
Hyperparameter tuning: Adjust the parameters of the model to improve its performance. This may involve using techniques such as grid search, random search, or gradient descent.
Testing: Evaluate the performance of the model on a test dataset. This may involve measuring the accuracy, precision, recall, or F1-score of the model.
Deployment: Deploy the model in a real-world environment and monitor its performance. This may involve integrating the model into a production system and collecting feedback from users.

Salesforce Development

ResolveSoft's approach towards developing Salesforce applications consists of the below steps.

Requirements gathering: Gather requirements from stakeholders and understand their needs for the Salesforce implementation.
Solution design: Create a design document that outlines the solution and how it will meet the requirements. This may include creating data models, workflows, and custom fields.
Environment setup: Set up a development environment, including creating a Developer Org, Sandbox, and version control.
Development: Develop custom objects, fields, workflows, and other components based on the solution design. This may involve writing Apex code, Visualforce pages, and Lightning components.
Testing: Test the solution in the development environment, including unit testing and integration testing. This may involve creating test cases and testing data.
Deployment: Deploy the solution to a production environment, including migrating data and customizations. This may involve using change sets, the Salesforce Metadata API, or other deployment tools.
User Acceptance Testing (UAT): Involve end-users in testing the solution to ensure it meets their requirements.
Deployment to production: Deploy the solution to the production environment, including configuring security and permissions.
Maintenance and support: Monitor the solution and provide ongoing maintenance and support to address any issues that arise.

RPA Automation

Process discovery and analysis: Identify and analyze the business processes that are suitable for automation. This may involve evaluating the current process, mapping it, and identifying opportunities for improvement.
Solution design: Design the solution, including selecting the appropriate RPA tool, creating the automation process flow, and defining the input and output data.
Environment setup: Set up the development environment, including installing the RPA tool, creating a project, and defining the configuration settings.
Development: Develop the automation solution, including creating and testing the process flow, creating and testing the data inputs and outputs, and defining the exception handling logic.
Testing: Test the solution in a test environment, including functional and performance testing, and fixing any issues that are identified.
Deployment: Deploy the solution to a production environment, including setting up the infrastructure, configuring security, and integrating the solution with other systems.
Monitoring and maintenance: Monitor the solution in the production environment and provide ongoing maintenance and support to address any issues that arise.
Optimization: Continuously monitor the solution and identify opportunities for improvement, including enhancing the automation process, reducing processing time, and improving accuracy.

Business Process Re-engineering

Our BPR implementations go through the below steps to achieve outstanding results for our clients.

Assessment: Assess the current business processes to identify inefficiencies, bottlenecks, and areas for improvement. This may involve conducting surveys, focus groups, and process mapping exercises.
Process definition: Define the end-to-end process and determine the objectives, scope, and desired outcomes of the BPR effort.
Process redesign: Redesign the process using innovative techniques, including process mapping, process simulation, and process improvement methodologies. This may involve eliminating non-value-adding activities, streamlining processes, and improving process flow.
Implementation planning: Plan the implementation of the redesigned process, including defining the project scope, timeline, budget, and resource requirements.
Implementation: Implement the redesigned process, including updating procedures, training employees, and modifying systems and processes to support the new process.
Performance monitoring: Monitor the performance of the new process, including measuring key performance indicators, tracking progress, and conducting regular process audits.
Continuous improvement: Continuously improve the process by making changes based on feedback and ongoing performance monitoring.

IT Strategy

We collaborate with our clients to understand their challenges and recommend a tailored strategy with steps as below

Assessment: Assess the current IT environment, including the technology infrastructure, systems, processes, and workforce. This may involve conducting surveys, focus groups, and process mapping exercises.
Strategy development: Develop an IT strategy that aligns with the organization's overall business strategy and objectives. This may involve defining the IT vision, mission, goals, and objectives.
Technology roadmap: Develop a technology roadmap that outlines the technology investments and initiatives needed to support the IT strategy. This may involve prioritizing projects, defining budgets, and determining the timeline for implementation.
Implementation planning: Plan the implementation of the IT strategy, including defining the project scope, timeline, budget, and resource requirements.
Implementation: Implement the IT strategy, including updating systems, processes, and policies, and training employees.
Performance monitoring: Monitor the performance of the IT strategy, including measuring key performance indicators, tracking progress, and conducting regular evaluations.
Continuous improvement: Continuously improve the IT strategy by making changes based on feedback and ongoing performance monitoring.

Organizational Change Management

Our approach for Organization Change Management is based on industry best practices like below

Assessment: Assess the current organizational structure, culture, and processes to understand the current state and identify opportunities for change.
Change strategy development: Develop a change strategy that aligns with the organization's overall business strategy and objectives. This may involve defining the change vision, mission, goals, and objectives.
Communication and engagement: Develop a communication and engagement plan to effectively communicate the change to stakeholders and engage them in the change effort.
Training and development: Develop a training and development plan to equip employees with the skills and knowledge needed to successfully transition to the new state.
Implementation planning: Plan the implementation of the change effort, including defining the project scope, timeline, budget, and resource requirements.
Implementation: Implement the change effort, including updating systems, processes, and policies, and training employees.
Performance monitoring: Monitor the performance of the change effort, including measuring key performance indicators, tracking progress, and conducting regular evaluations.
Continuous improvement: Continuously improve the change effort by making changes based on feedback and ongoing performance monitoring.

Cloud Solutions

Our team has experience migrating on-premises applications to Cloud and Hybrid environments. Our process includes many steps to ensure customer success and a return on investment.

Assessment: Assess the current IT environment, including the technology infrastructure, systems, processes, and workforce, to determine the readiness for cloud migration.
Cloud strategy development: Develop a cloud strategy that aligns with the organization's overall business strategy and objectives. This may involve defining the cloud vision, mission, goals, and objectives.
Cloud selection: Select the appropriate cloud deployment model (public, private, hybrid) and cloud provider based on the organization's requirements and priorities.
Migration planning: Plan the migration to the cloud, including defining the project scope, timeline, budget, and resource requirements.
Migration: Migrate systems, applications, and data to the cloud, including updating systems, processes, and policies.
Performance monitoring: Monitor the performance of the cloud environment, including measuring key performance indicators, tracking progress, and conducting regular evaluations.
Continuous improvement: Continuously improve the cloud environment by making changes based on feedback and ongoing performance monitoring.

Digital Transformation

The technical approach for Digital Transformation typically involves the following steps:

Assessment: Assess the current organizational structure, culture, processes, and technology environment to understand the current state and identify opportunities for digital transformation.
Strategy development: Develop a digital transformation strategy that aligns with the organization's overall business strategy and objectives. This may involve defining the digital vision, mission, goals, and objectives.
Roadmap development: Develop a roadmap that outlines the initiatives and investments needed to support the digital transformation strategy. This may involve prioritizing projects, defining budgets, and determining the timeline for implementation.
Technology selection: Select the appropriate technology solutions based on the organization's requirements and priorities. This may involve evaluating and comparing different technology options.
Implementation planning: Plan the implementation of the digital transformation initiatives, including defining the project scope, timeline, budget, and resource requirements.
Implementation: Implement the digital transformation initiatives, including updating systems, processes, and policies, and training employees.
Performance monitoring: Monitor the performance of the digital transformation initiatives, including measuring key performance indicators, tracking progress, and conducting regular evaluations.
Continuous improvement: Continuously improve the digital transformation initiatives by making changes based on feedback and ongoing performance monitoring.

Customer Experience and Human Centered Design

Our CX and HCD approach takes into account Accessibility by ensuring all of our content is Section 508 and WCAG compliant. Our team consists of 508 SMEs and HCD specialists that help our federal government clients be compliant with section 508 laws and WCAG guidelines.

Customer research: Conduct research to gain a deep understanding of customers' needs, behaviors, and motivations. This may involve qualitative methods such as interviews, surveys, and ethnography, as well as quantitative methods such as analytics and customer feedback.
Empathy mapping: Map out the customer journey and identify key touchpoints and pain points.
Ideation: Generate ideas for improving the customer experience, which may involve brainstorming, prototyping, and testing.
Prototyping and testing: Create prototypes of the solutions and test them with customers to validate their effectiveness and gather feedback.
Refinement: Refine the solutions based on customer feedback and insights.
Implementation: Implement the solutions, including integrating them into existing systems and processes.
Monitoring and maintenance: Monitor the customer experience and maintain the solutions to ensure they continue to deliver value to customers.

Data Analytics

ResolveSoft personnel have experience with a wide variety of Data Analytical tools such as Tableau, R, Python, Power BI and Oracle Big Data Discovery.

Data collection: Collect and store the data that will be analyzed, which may include data from various sources such as transactional systems, log files, and IoT devices.
Data preparation: Prepare the data for analysis, which may involve cleaning, transforming, and normalizing the data.
Data exploration: Explore the data to gain insights and identify patterns, relationships, and trends. This may involve using techniques such as data visualization and statistical analysis.
Data modeling: Model the data to support specific business objectives, which may involve building predictive models, segmentation models, or recommendation systems.
Data validation: Validate the data models and assess their accuracy, reliability, and robustness.
Deployment: Deploy the data models into production, which may involve integrating them into existing systems and processes.
Monitoring and maintenance: Monitor the data models and maintain them to ensure they continue to deliver accurate and valuable insights.

Technology Consulting

Our teams are adept in various types of technology consulting and IT roadmap develop for our federal and commercial clients.

Assessment: Conduct an assessment of the organization's technology environment, including existing systems, processes, and capabilities.
Stakeholder engagement: Engage with stakeholders to understand their business objectives, priorities, and pain points.
Solution identification: Identify potential solutions to address the organization's technology challenges and align with its business objectives.
Recommendation and road mapping: Provide recommendations for the technology solutions and develop a road map for implementation.
Solution design and implementation: Design the technology solutions and assist with their implementation, including integrating them into existing systems and processes.
Testing and validation: Validate the technology solutions to ensure they are working as expected and meet the organization's requirements.
Monitoring and maintenance: Monitor the technology solutions and maintain them to ensure they continue to deliver value to the organization.

ServiceNow

The ServiceNow technical approach provides organizations with a comprehensive system for streamlining service delivery and improving operational efficiency. The steps involved in implementing this approach are as follows:

Analyze Requirements: The first step is to analyze the specific requirements of the organization in order to determine which components of the ServiceNow platform are most relevant. This will involve conducting research, talking to key stakeholders, and assessing existing processes and systems.
Configure Platform: Once the necessary components have been identified, the next step is to configure the platform accordingly so that it can meet the needs of users. This may involve creating custom workflows or reports, setting up access rights, or integrating external applications and services into the platform.
Test & Deploy Solution: After configuring the platform, it’s important to test that all components are working properly before deploying them into production environments. This testing phase should include user acceptance testing as well as performance-related tests such as load testing or scalability checks.
Monitor & Manage Performance: Finally, it’s important to monitor and manage performance on an ongoing basis. This includes regularly checking for known issues, ensuring that workflows are running properly, and tracking usage metrics to ensure optimal performance across all services offered through ServiceNow.

IT Modernization

Our approach for IT Modernization typically involves the following steps:

Assessment: Conduct a comprehensive assessment of the organization's existing IT infrastructure, applications, and processes to identify areas for improvement.
Stakeholder engagement: Engage with stakeholders to understand their business objectives, priorities, and pain points.
Solution identification: Identify potential solutions to address the organization's technology challenges and align with its business objectives.
Technology road mapping: Develop a technology road map to guide the modernization effort, including prioritizing initiatives and determining the timeline for implementation.
Solution design and implementation: Design and implement the technology solutions, including migrating legacy systems to new platforms, modernizing applications, and integrating with existing systems.
Testing and validation: Validate the technology solutions to ensure they are working as expected and meet the organization's requirements.
Monitoring and maintenance: Monitor the technology solutions and maintain them to ensure they continue to deliver value to the organization.
Continuous improvement: Continuously assess and improve the technology solutions to ensure they remain aligned with the organization's business objectives and changing technology landscape.