Implementation Deployment
Augment Your IT Team with Low-Cost Software Developers
Visionary has over 80 dedicated software developers to augment your existing IT team.
Continuous Deployment
Our software deployment specialists have cultivated an efficient, continuous delivery process that emphasizes comprehensive, automated testing before any code is integrated or deployed. We can catch code errors and deploy iterations much faster by establishing an organized central code repository with version control and rollback.
Phased Implementation Solutions
Our developers perform phased implementation services that roll out the software in increments to maintain data integrity. We assess your network’s readiness and compatibility for implementation and work with you to design a phased plan. Our software developers will configure your network’s infrastructure based on your needs.
Compatibility and Configuration Solutions
Our custom configuration solutions include tracking and controlling changes in applications before and after deployment, revision control, and establishment of baselines. We provide database compatibility solutions to ensure new software and features are not incompatible with earlier releases.
We Make Software Deployment and Implementation Easy and Cost-Effective
Without an exhaustive and carefully considered plan for custom deployment and implementation, launching an application can be a nightmare. Visionary software deployment specialists assess and assemble apps for all environments, effortlessly delivering new technology to end-users without the headache.
Deployment Planning Services
Our expert software developers, programmers, and project managers deliver detailed deployment plans using the best structuring tools for cloud-based, on-premises, and hybrid environments. This lowers risks and costs will be meticulously monitored, ensuring complete configuration of the deployment process. We take the time to ensure that there is no system downtime and that your business workflows are improved.
Custom Software Deployment Services
We provide agile software deployments and implementation services using proven schemas and methodologies to ensure the most cost-effective application delivery process to end-users. Our development team utilizes custom software development best practices for configuration, installation, integration, QA testing, troubleshooting, project governance, and deployment.
Post-Deployment Services
After our developers have developed your custom software solution, deployed your newly developed application, or performed a software integration, we ensure that your solution performs and operates smoothly through a series of QA/functionality testing, maintenance, and support. We work to identify and group end-users by optimal implementations, monitor users’ post-deployment behavior to ensure success, and generate reports of user metrics, directly and indirectly, related to ROI.
Third-party Custom Deployment and Implementation Services
We provide custom deployment and implementation services for third-party software from vendors like Sage, Epicor, Oracle, NetSuite, SAP, and Cognos.
SAGE
Our developers have completed hundreds of SAGE implementation projects. We provide a custom implementation that is configured to the specifications and needs of your company.
ORACLE NETSUITE
We create a fully optimized and automated platform with custom Oracle NetSuite integrations to help businesses connect office applications.
KUBERNETES
We utilize Kubernetes to automate deployment, scale, and manage containerized applications. We effectively manage clustered groups of Linux container hosts, automatically load, and balance traffic across matching containers.
SAP
As an SAP Certified Partner, we deliver smooth software implementation, integration, programming, business planning, research & discovery, QA testing, and deployment services, all designed to simplify data collection and redundancies by establishing a single point of access within the SAP platform.
EPICOR
We conduct custom EPICOR implementations to manage your business resources. Our implementations ensure that your business has the ability to streamline risks and adhere to external and internal compliance regulations
COGNOS
As Cognos developers, we expertly implement Cognos into your business. Visionary specializes in IBM Cognos installation to enable key decision-makers across an organization to have in-depth insight on performance management problems.
FAQs Related to AI in Software Deployment & Implementation
Software deployment refers to the process of releasing and installing software applications or systems onto target environments, such as servers, computers, or devices. It involves tasks such as configuration, setup, and activation to make the software operational and accessible to end-users.
Deployment refers to the process of releasing and installing software onto target environments, while implementation refers to the overall process of integrating, configuring, and adopting the software within an organization or for end-users, encompassing deployment along with other related activities like training and user onboarding.
Yes, AI can help identify and resolve software compatibility issues during deployment. It can analyze system requirements, dependencies, and configurations to ensure that software components are compatible with the target environment.
AI can improve user onboarding and training by providing intelligent tutorials, interactive guides, and context-sensitive help systems. It can analyze user behavior, identify learning gaps, and deliver personalized recommendations and assistance to facilitate a smooth adoption process.
Yes, AI can automate software testing and quality assurance processes. It can perform tasks such as test case generation, test execution, bug detection, and regression testing. AI techniques like machine learning can also help in anomaly detection and identifying potential defects.
To ensure successful implementation of AI in software deployment, organizations should carefully plan the integration process, perform thorough testing and validation, train employees on AI systems, monitor performance metrics, address security and privacy concerns, and adapt their processes based on feedback and insights gained from AI analytics.
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