Data, Love, and Reputation: Analytics Lessons from Taylor & Travis
Kathy Sucich celebrates the news of Taylor Swift and Travis Kelce’s engagement with a realisation that suprisingly there are lessons in their story using relevant parallels to how organizations should think about data analytics.
Love relationships and revenue streams demand similar skills to interpret incomplete signals, recognising patterns, red flags and warnings as well as monitoring what is on track and aligning with goals. All are types of data, some more apparent to the mind and others to filling in the gaps with intuition based on what you know from the data. Patterns and consistency build trust in the data.
Read on here to find out how similar these skills can be if you look closely.
