Toolchain Integration

Last updated

Jan 23, 2025
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The Toolchain Integration capability’s enablers include Integration Patterns, Tech Stack Interoperability, and Data Integrity. Each capability within the Planview Capability Framework has a distinct set of features and functionality, business processes, best practices, and analytics and reports that deliver value to customers in the form of specific business outcomes.

Enablers and Business Value

Integration Patterns

Establish foundational integration patterns that synchronize the flow of work between two distinct roles working in two or more tools.

You can chain integration patterns together to achieve complete end-to-end flow and traceability across your entire toolchain integration landscape.

Resulting business value includes:

We can define roles and how work performed by those roles flows through various tools.
We can create integrations between tools to track the flow of work between tools.
We can chain integrations together to view the end-to-end flow of work across all integrated tools.

Tech Stack Interoperability

Empower a non-expert with no coding experience to set up and maintain integrations between all 60+ third-party tools that Planview Hub supports out-of-the-box, without prior experience with APIs or API schemas.

Resulting business value includes:

Our tool integrations can easily be handled by a variety of roles in an organization.
We can make changes and additions to tool integrations without the need of a development resource.

Data Integrity

Ensure a change made in one tool connected via Planview Hub is immediately reflected in the integrated tool landscape.

Resulting business value includes:

We can collaborate across teams working in different tools and ensure changes are reflected immediately and seamlessly across the integrated tool landscape.
We can ensure we have the latest data and information across all connected tools to inform and support confident decision-making.

Best Practices

Streamline integration with models

Using an out-of-the-box Hub model for your data flow configuration can significantly reduce the complexity and upfront planning needed to define your fields and artifacts. Mapping collections to the same model allows you to easily add new repositories or projects to your integration landscape for scalability. Models can also be copied and modified for different integration scenarios, allowing for customization and flexibility.

Optimize the flow of data

Define your flow specifications with the efficient flow of data in mind. By focusing on critical information, minimizing endpoints, and reducing data volume, you can optimize your integration performance, responsiveness, data consistency, and overall system efficiency. This streamlines the integration process and ensures the right data is available where and when it’s needed, without unnecessary overhead or complexity.

Jump-start integration with templates

Templates accelerate integration by bundling flow specification elements and providing a structured and customizable framework for integrating different repositories and artifacts. By selecting a template, you define the integration style and canvas layout, which influences other configuration options such as artifact flow directionality, field flow directionality, and routing directionality. As a result, integrating your collections becomes a seamless and efficient process.

Future-proof your design

When designing your data flow configuration, consider factors like ease of use, scalability, and flexibility to accommodate future changes. Ensure your integration design and architecture can accommodate an increasing number of artifacts, repositories, and projects; using models can help with scalability and uniformity. By defining consistent mapping and transformation rules that allow accurate and essential data flow between systems, you can adapt to changes in your data models and ensure seamless integration as your needs evolve.

Test and validate

Conduct end-to-end testing of your integration before deploying it to production. Verify the integration supports the desired workflows and automations by testing its behavior under various load conditions. Measure response times, data transfer rates, and resource utilization to identify any bottlenecks or performance issues, then iterate and refine the integration design, configuration, and logic as necessary.

Collaborate with Flow experts and community

Engage with Planview Flow Advisors and the Flow Framework Community to gain insights, share knowledge, troubleshoot issues, and exchange best practices. Collaborating with experts and other users can help you accelerate your adoption, reduce your learning curve, navigate complex or custom integration scenarios, and make informed decisions that optimize your integration.