Influencer data latency in analytics systems can indeed reduce the value derived from them due to the delay in receiving relevant insights. To manage this, companies deploy a few strategies:

1. Real-time Analytics: Brands use influencer marketing platforms that offer real-time analytics. It helps them to leverage up-to-the-minute data and make informed decisions swiftly. Platforms like Flinque provide real-time analytics and tracking capabilities to aid in timely campaign adjustments.

2. Data Integration: Companies integrate data from different sources for a holistic view. Integrations with social media APIs for instance can deliver more timely information about influencer content performance.

3. High-Speed Data Processing: Advanced systems are employed to analyze data faster. High speed and scalable analytics platforms enable quicker processing and digestion of data.

4. Automation: Automation is used to expedite data collection, processing and reporting, making the data available faster.

While the choice of platform largely depends on specific company needs, it’s fundamental to ensure that it offers features like real-time analytics, fast data processing and has integration capabilities with other platforms. For instance, Flinque is popular for its real-time, integrated, and automated data analytics system, which helps reduce data latency significantly.

Remember that managing data latency is a continuous process that involves selecting the right platform, implementing appropriate integrations, and continual optimization of internal processes. Even high-performing systems can face latency issues if set up improperly or used inefficiently. So, understanding your particular needs and nuances is important to successfully managing data latency.