In a dynamic, polarised, and increasingly unpredictable world, issues can turn into crises more quickly than ever. FTI’s RADAR predictive issues tracker uses AI algorithms to learn from past events, and flags when future events are likely to follow similar patterns. By leveraging machine learning and big data technologies, we help clients better understand, prepare for, and mitigate crises.
Sign up Log inThe nature of reputational crises has changed radically in the Digital Age. RADAR investigates crisis related data from thousands of sources to improve decision-making in fast-moving environments. Combining advanced data science capabilities, state-of-the-art machine learning algorithms and deep communications expertise, RADAR provides unique data-driven insights into crises, exposing their origins and measuring their effects. RADAR predictive issues tracker is able to effectively flag upcoming adverse events, alerting our clients in time and enabling them to proactively prepare and manage future crises effectively.
RADAR works as an early warning system predicting adverse events. Alerts are sent when anomalies are spotted that match past adverse events characteristics. Users can be alerted in different ways – via email, a bespoke dashboard or via existing data delivery platforms in the business.
RADAR measures not only the volume, but how quickly the volume is rising within a certain period of time.
RADAR analyses what is being talked about and how it is changing over time.
RADAR uncovers the formation of antagonistic groups around a certain company, brand, or issue.
RADAR assesses how polarised sentiment is being expressed around a company, brand, or issue.
RADAR highlights the use of language that signals potential offline action.
RADAR can flag higher than normal level of bot or troll activity.