Webclass 64: Banking sector analytics - what you should know

Q1. Why did Pawan’s team decide to build their own data analytics platform rather than taking an off-the-shelf solution?

Because there are often issues with integration from the tool to the banking system

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Because it is cheaper and quicker to build a tool in-house

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Q2. What are the two main categories of data analytics that Pawan mentions?

Offensive and defensive

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Integrated and external

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Q3. Does the BASEL IV regulation mandate the use of data analytics?

No

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Yes

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Q4. What are two main areas that regulators might typically look at when reviewing the overall reliability of the system?

Data Lineage and data quality

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The size of the data and the application security

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Q5. Which Basel standard did Pawan mention that helps banks to understand why data quality is so important?

BCBS 239

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BCB2 584

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Q6. What does Data Lineage help us to know?

The source of the data that is used in reporting

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The level of quality of the data

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Q7. Which tool does Pawan mention that is useful for data reconciliation?

RECON

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ACL

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Q8. What other tools does Pawan mention that auditors typically use?

Excel and Access

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Tableau

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Q9. Which 4 drivers of a data program does Pawan mention?

1/ Risk reduction; 2/ Cost reduction; 3/ Growth/ revenue generation and 4/ Cusotmers

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1/ Regulations; 2/ Data quality; 3/ Fraud prevention 4/ Reconciliations

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Q10. Why might the bank want to include external data sources in their data analytics?

In order to help make the customer's life easier. For example, if a customer has a loan in one bank and a savings account in another bank, it could be easier to group that information for the customer

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In order to see if there is fraud between different actors of the banking system

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Q11. What tips does Pawan give to internal auditors?

Ensure that the bank is doing the right-thing by the customers; no short-cuts; help the bank be prepared for reviews from the regulators

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Ensure that they have an independent review and not too integrated into the operations of the bank

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Q12. Does Pawan think that auditors need to be data literate?

Yes, because otherwise they cannot really understand the work done and effectively help prepare for the regulators for example (analogy to a parent reviewing school homework)

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No because the data operations team is the one that should be doing the technical aspects

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Webclass 64: Banking sector analytics – what you should know

Webclass 64: Banking sector analytics – what you should know

admin June 9, 2026

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