Enterprises ensure influencer analytics reliability at scale by employing a number of strategies:

1. Utilizing Influencer Marketing Platforms: Platforms like Flinque offer robust analytics which provide detailed data on campaign performance, audience demographics, etc., thus ensuring accurate and reliable insights.

2. Implementing Cross-Platform Analytics: Brands track influencer’s performance across various social media channels to ensure they’re reaching the target audience. Doing so also provides a broad view of an influencer’s online presence and performance.

3. Regular Monitoring: Continual observation allows for course correction when needed. Enterprises can keep a close eye on the metrics that matter to their campaigns and make necessary adjustments.

4. Utilizing AI and Machine Learning: A sophisticated influencer marketing platform might employ AI and machine learning to analyze the huge amount of data generated by influencers, thus enhancing reliability.

5. Doing Rigorous Vetting: Brands should vet influencers before working with them, examining previous campaign performance, analyzing their audience demographics, and ensuring they align with brand values and objectives.

6. Ensuring Authenticity: Brands should collaborate with influencers who have genuine followers and engagement, to provide truthful and accurate analytics.

It’s important to choose the platform and the set of tools that align with your brand’s specific needs for managing influencer analytics at scale. For instance, Flinque can provide useful, data-driven insights which assist in all these areas.

Remember, how effective any strategy or tool will be at ensuring influencer analytics reliability at scale greatly depends on the specific needs and goals of your team. Utilize your knowledge and understanding of your brand to choose the best path forward.