The growth journey of every company is unique, but the challenges faced in scaling collaboration are not. When scaling collaboration across teams, most enterprises will generally encounter four common challenges covered in this guide.
As enterprises grow and expand rapidly, it becomes increasingly challenging to scale Jira and Confluence effectively. With a more significant number of people, unique requirements, diverse geographic locations, and an ever-increasing number of devices to support, it becomes imperative to have a scalable solution for maintaining governance and control.
In a nutshell, this guide points out the four common challenges:
- Supporting distributed teams: As teams become more geographically dispersed or operate independently, it becomes necessary to support their custom workflow needs, specialized integrations, and more while reducing duplicity, controlling costs, and avoiding silos.
- Data protection at scale: As the organization grows, protecting sensitive data and ensuring secure access to enterprise applications becomes increasingly important. It's crucial to comply with global data privacy regulations and prevent breaches.
- Maintaining speed and performance: As the organization expands, systems need to remain fast, responsive, and reliable, with minimal downtime risk.
- Overcoming data silos: Data can drive critical insights and inform crucial business decisions, but it is often stored across multiple technology stacks and databases, making it challenging to obtain cross-team insights. Eliminating data silos can connect day-to-day work to larger business objectives.
Atlassian's Jira and Confluence Cloud Enterprise offerings have been expertly crafted to address these common scaling difficulties. These solutions support effective collaboration and ensure seamless integration across your rapidly growing teams, and you can learn more about them in this guide.
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