An avalanche of meaningless data
With more and more data being generated by the proliferation of communications channels, the team faced a massive volume of alerts - and almost all of it irrelevant.
Poor scoring parameters made it impossible to prioritize the right data, resulting in a backlog that was too difficult to handle.
Communications data came in multiple languages, adding extra complexity routing the right alert to the right team member.
This simply wouldn't scale.
Unable to focused on risk
Data was flowing but risk insights were not.
Instead of focusing on risk, teams were distracted by processing meaningless alerts.
Alerts generated by keywords either were clearly noise or lead to an immense manual effort to clarify the context behind the remaining conversations.
Their technology stack created too much work and left the true insights into risk invisible.
The juggling act made more difficult
The team was juggling too many tools just to manage their basic workflows.
One would provided the alert and then any number of tools would be needed to follow the communications trail across data sources. Not to mention voice and document tools
On review, documentation would be saved externally and any collaboration would be communicated in yet another tool.
Reporting required it's own set of tools and escalation processes were tracked manually in spreadsheets.
Imagine searching for a needle in multiple haystacks with a handful of different tweezers. Now imagine an even more difficult task!
Need to leave a complex on-prem architecure
They had problems with data silos, holding different data sources on different on-prem data systems with complex policy management.
Inconsistent data formats and lack of interoperability between different tools meant a huge headache any time a regulatory shift or change in requirements occured.
With rising costs and increasing pace of change with global regulations and communications channels, it was decided the right cloud partner would be needed to become more flexible and scale.