Banking Sector-Specific Approach to Capturing and Monetizing Wasted Knowledge:

1. Identify and Classify Sources of Wasted Knowledge:

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Start by systematically classifying wasted knowledge across yourorganization. Break it down by positions (e.g., relationship managers,risk analysts, compliance officers), lines of business (e.g., retailbanking, corporate banking, wealth management), and banking sector-specificinsights. This ensures knowledge is organized in a way that aligns withyour business structure and operational needs.

Next, assign data classifications toeach knowledge type. Examples include:

• Lessons Learned: Critical insights from past projects or client interactions.
• Position-Specific Critical Issues: Challenges unique to certain roles, such as regulatory hurdles for compliance teams or underwriting nuances for loan officers.
• Line of Business Best Practices: Proven strategies that improve performance, efficiency, or customer experience in areas like investment banking or mortgage lending.
• Technical and Operational Insights: Lessons from recent system failures, cybersecurity incidents, or infrastructure upgrades.

The sources of this knowledge can rangefrom structured systems like Help Desks, Learning ManagementSystems (LMS), and Knowledge Management Systems (KMS) to informaland unstructured data, such as insights hidden in communication tools,peer collaboration platforms, and other forms of dark data. Identifying and classifying these diverse sources ensures no valuable knowledgeis overlooked, and the most relevant insights are easily accessible to driveoperational excellence.

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2. Design a Simple Process to Act on Classified Knowledge:

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Once the sources of wasted knowledge have been identified and classified, thenext step is to create a simple, actionable methodology for capturingand leveraging it. The process should be intuitive and easy to implement acrossteams, ensuring that valuable insights are consistently used to drive betterdecision-making and operational improvements.

Key elements of this methodology couldinclude:

• Capture and Document: Employees regularly document key insights, lessons learned, and best practices related to their roles, ensuring that valuable knowledge is systematically recorded.
• Review and Validate: Subject matter experts or team leads review and validate the captured knowledge to ensure accuracy, relevance, and alignment with business goals.
• Disseminate and Share: Regular opportunities for cross-functional teams to share validated knowledge, ensuring that critical insights are accessible and can be applied across departments.
• Apply and Iterate: Teams apply shared knowledge in real-world scenarios, with results monitored and insights refined based on feedback, continuously improving the process.

Our proprietary tool simplifies thisentire process, making it easy to implement without IT involvement. Itcaptures, shares, and organizes knowledge seamlessly, ensuring quick adoptionand minimal disruption to current workflows. This allows your organization toquickly turn wasted knowledge into a valuable asset, driving immediate andmeasurable improvements.

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3. Convert Knowledge into a Permanent Asset:

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Transform captured insights into AI datasets that are readily availableto all employees across departments. This ensures critical knowledge, from customerservice best practices to risk management techniques, is turned intoa permanent, accessible asset, fostering consistency and empowering yourteam to make data-driven decisions.

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4. Measure ROI:

Implement clear metrics to track the financial impact of utilizing this knowledge such as increased loan approvals, higher cross-sellingrates, or improved customer retention. Ensure your approach deliversconsistent and accelerated returns by measuring how it impacts key financialindicators like revenue per customer, operational efficiency, andrisk mitigation.

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