Introduction
The rise of SaaS solutions has revolutionized the way businesses access and utilize analytics and BI tools. Traditional BI vendors often fall short in addressing the unique needs of SaaS vendors, resulting in less efficient, less secure, and less scalable solutions. To succeed in today's competitive market, you need to ensure that your analytics and BI vendor is 100% focused on embedded analytics and tailored to the needs of SaaS vendors.
In this blog, we will discuss the key tenets of embedded analytics and BI to help you differentiate between outdated legacy solutions and modern, purpose-built platforms.
Security: If it's not secure, it's not embedded
Security should be a top priority when choosing an embedded analytics solution. Legacy BI vendors often lack the robust security measures required for SaaS applications. Your embedded analytics provider should adhere to the highest data security standards and ensure the protection of your sensitive information.
Multi-tenancy: If it's not multi-tenanted, it's not embedded
SaaS applications require a multi-tenant architecture to efficiently manage data and resources for multiple customers. Traditional BI solutions often lack this capability, resulting in inefficient resource allocation and scalability challenges. An embedded analytics platform must support multi-tenancy to be considered a truly SaaS-focused solution.
White labelling: If it's not white-labelled, it's not embedded
Your embedded analytics solution should seamlessly integrate with your application, reflecting your brand identity and user experience. White labelling allows you to customize the analytics interface, ensuring a consistent look and feel across your application.
Low-code: If it's not low code, it's not embedded.
Modern embedded analytics platforms should offer a low-code approach, enabling faster implementation and easier customization. Legacy BI solutions often require extensive coding, increasing complexity and slowing down development. A low-code platform empowers your team to quickly adapt the analytics solution to your unique needs.
Data management: If it moves your data, it's not embedded.
An embedded analytics solution should not require you to move or duplicate your data, which can introduce security risks and increase complexity. Instead, it should seamlessly access and analyze data in its existing location, ensuring data integrity and simplifying data management.
Authentication: If it doesn't authenticate your way, it's not embedded.
Your embedded analytics platform should support your preferred authentication methods, whether it's single sign-on (SSO), multi-factor authentication (MFA), or custom solutions. Legacy BI vendors often lack this flexibility, forcing you to adapt to their limited authentication options.
API: If it doesn't have an API, it's not embedded.
A robust API is essential for seamless integration and customization of your embedded analytics solution. Traditional BI vendors may not offer comprehensive APIs, limiting your ability to tailor the platform to your specific requirements. A modern embedded analytics provider should offer a flexible, well-documented API to ensure seamless integration with your application.
Conclusion
As SaaS vendor, it's essential to partner with an analytics and BI provider that truly understands your unique needs and is focused on delivering a modern, embedded solution. By keeping these key tenets in mind, you can confidently move beyond legacy BI vendors and embrace the future of embedded analytics.
Don't settle for outdated solutions. Ensure your analytics and BI vendor meets these critical criteria and start unlocking the full potential of embedded analytics for your SaaS application.
