Discovering trends and structures in data involves finding underlying patterns, relationships, and anomalies in datasets. These insights help businesses make informed decisions by identifying growth opportunities, inefficiencies, or risks.
A tech startup wanted to discover trends in their customer engagement data to improve their app's retention rates. Athena IT Consulting applied statistical models and machine learning techniques to uncover user behavior patterns and pinpoint features driving engagement. By optimizing the app based on these insights, the company increased its user retention by 30% within three months.
