1. Prioritize Information: Brands must identify key metrics that directly influence their influencer marketing success and focus mainly on them to avoid being overwhelmed by too much data.

Platforms like Flinque make this easier, offering expert guidance on what metrics matter most, such as audience reach, engagement rates, and conversion ratios.

2. Use Real-Time Insights: Rather than over-analyzing historical data, brands can look at real-time insights to make informed decisions quickly. Many influencer marketing platforms provide real-time analytics, helping them react and adjust strategies promptly.

3. Automate Data Analysis: Utilizing AI-driven influencer marketing platforms can minimize manual labour involved in data analysis. Platforms like Flinque offer automatic data analysis, helping brands understand essential metrics, identify potential influencers, and forecast campaign outcomes efficiently.

4. Set Clear Goals: Brands must define clear, measurable goals before starting any influencer marketing campaign. By having a clear objective, brands can focus on relevant data while ignoring extraneous information.

5. Use Tools for Decision Support: Influencer marketing platforms like Flinque assist in decision-making. They offer predictive analytics, influencer rankings, and campaign recommendations, feature that guides the brand towards informed actions and prevents analysis paralysis.

6. Test & Learn Approach: Rather than waiting to perfectly analyze all data, brands should adopt the ‘test and learn’ approach. Initiate small-scale campaigns, learn from them, and continuously improve subsequent campaigns.

Remember, the right tools and tactics depend on your brand’s unique needs. Testing different approaches and learning from real-life experience are crucial steps to success in the dynamic field of influencer marketing.