
Project Insight is a strategic project and portfolio management software that gives companies a complete picture of the work happening across their entire organization. Streamline workflows, automate processes, enhance collaboration, and capture project data points from all your teams and systems in one central command center so you can make confident decisions about business.
Manage work at the project, program or portfolio levels and integrate with the tools you already use, including Azure DevOps, Jira, Microsoft, Salesforce, and ServiceNow, and HubSpot to eliminate the need to manually key in data across teams.
With the most views of any project management platform, teams can keep tabs on assignments, status, risks, resources, capacity, schedules, budgets, and more. Project Insight also offers free view only seats for clients.
The power of AI can be used to assign action items after meetings, predict future capacity, balance workloads, & select the right resources. Additional AI-powered features include what if simulations to generate tradeoffs when priorities change and AI-generated project templates (WBS).
Whether you are moving from basic spreadsheet project tracking or you have a sophisticated PMO with a complex web of unique business processes, Project Insight has the broad feature set to help you grow as you go. Our onboarding teams are known for being the best in the business and our platform can be fully customized to manage projects and data the way your company needs to.
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AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer.
Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI.
The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments.
AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model.
The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents.
Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
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Modern Requirements4DevOps
Modern Requirements4DevOps stands out as Microsoft's recommended partner for managing requirements, elevating Azure DevOps into a comprehensive Requirements Management Tool. This integration allows teams to collaborate seamlessly on a unified platform, establishing a centralized source of truth. Requirements are conveniently housed alongside your Test Cases and Code Repositories, ensuring easy access and management. Our tool is designed to accommodate agile, waterfall, and hybrid methodologies by offering functionalities such as reviews, end-to-end traceability, reporting, elaboration, and modeling, all integrated within Azure DevOps. Additionally, our powerful requirements solution boasts a premier feature set, including project audit capabilities to enhance oversight and compliance. With these robust offerings, teams can streamline their workflows and improve project outcomes significantly.
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Nuvepro
Who are we?
Nuvepro provides a practical learning platform designed for technology enthusiasts.
What we offer:
Playground Labs:
These are real-world environments that complement instructor-led and virtual instructor-led training as well as MOOC-based education. During this learning phase, participants grasp various concepts, whether in DevOps, Full Stack Development, or utilizing services from AWS, Azure, or GCP. Nuvepro ensures these playgrounds are fully set up and ready for use.
Projects:
In this learning stage, participants integrate their knowledge to tackle real-world scenarios or problems. For instance:
Establishing a complete operational infrastructure to facilitate a Food Ordering Application on AWS, Azure, or GCP.
Developing a fully operational application for a "Food Ordering App" as part of a Full Stack Development curriculum.
These projects can be designed by Nuvepro experts, partner organizations, or cloud service providers such as AWS, Azure, or GCP.
Assessments:
This component is designed to measure learners' comprehension and progress. The assessments generate feedback regarding whether learners pass or fail specific test cases, and they also offer guidance for further study in the event of a failure on any test case. Additionally, we believe that regular evaluations help in identifying areas of strength and improvement, ensuring a more tailored educational experience for each learner.
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