The Missing Relationship in Your Workforce Data
Orgesa Berisha
Category
Podcasts
Date
Your learning platform knows what employees completed. Your quality system knows where standards were missed. Your CRM knows what the customer needs. Your knowledge base contains the organization’s approved answers. The information exists. The relationship between it does not.
This is why organizations can collect more data every year while managers and employees continue making important decisions manually.
Four systems and four separate stories
Each system was introduced for a valid reason.
The learning platform manages development. The CRM manages customer relationships. The quality system monitors standards. The knowledge base organizes information.
But an employee handling a customer interaction does not experience the work as four separate systems.
They experience one situation requiring one appropriate decision.
Dr. Vigan Disha, CEO of Asendio, frames this as the difference between workforce data and enterprise intelligence.
Data describes separate parts of the organization. Intelligence connects the parts relevant to the decision being made.
The decision chain
Connected workforce intelligence should create a clear sequence:
Signal → context → recommendation → action → outcome
Consider a customer who is thinking about cancelling a service.
The signal is the cancellation risk.
The context may include the customer’s history, current products, previous interactions, available offers and the employee’s capability.
The recommendation identifies an appropriate next action.
The employee applies judgement during the conversation.
The outcome shows whether the intervention worked.
Without this connection, the employee must search across different systems while the customer waits.
Why another dashboard is not enough
A dashboard may show that retention declined.
It may not explain:
Which customer situations contributed to the decline
Whether employees had access to the correct knowledge
Whether they were prepared for those conversations
Which intervention should follow
Whether the intervention improved the result
Dr. Disha’s perspective positions intelligence as support for action—not simply better reporting.
Operational performance should influence development
The connection should also work in the opposite direction.
If performance data shows that employees struggle with a particular situation, that evidence should influence future learning, practice or coaching.
The organization can then monitor later performance to determine whether the support worked.
This creates a closed loop:
Knowledge supports work.
Work creates performance evidence.
Evidence identifies a capability gap.
The gap triggers targeted support.
New performance evidence measures improvement.
Begin with one decision
Organizations do not need to connect everything at once.
Choose one recurring decision and map the information required to make it.
Where does the information live? Is it current? Who owns it? Can the decision be explained? Can the resulting outcome be measured?
The answers will reveal whether the organization has connected intelligence or a collection of disconnected systems.
If your managers are still connecting the dots manually, explore Dr. Vigan Disha’s conversation on turning workforce data into intelligent action.
