From risk to resilience: is your data regulation ready?

1. What are the top data challenges your organisation is experiencing in relation to regulatory compliance and reporting? [select top three]

Manual reporting processes / lack of automation
Siloed data / lack of a single view of data
Poor risk modelling and analytics
Poor data quality
Inability to track change history
Lack of data lineage visibility
Disparate systems / too many data sources
Data privacy or security concerns
Inability to easily share data between internal departments / external partners
Data latency

2. Which of the following areas of regulation are the biggest concern for your organisation due to data management challenges? [select top three]

Digital Operational Resilience Act (DORA)
ESG regulation (e.g. FCAs upcoming Sustainability Disclosure Standards (SDR), EU Sustainable Finance Disclosure Regulation, the upcoming UK Green Taxonomy, International Sustainability Standards Board (ISSB))
Anti-Money Laundering (AML) and Counter-Terrorist Financing (CTF) regulations
Know Your Customer (KYC) and Customer Due Diligence (CDD) requirements
Data privacy and protection (e.g. GDPR, CCPA)
Regulatory reporting requirements (e.g. Basel III/IV, IFRS or Solvency II capital adequacy rules)
Consumer protection regulations (e.g. Consumer Duty, Mandatory APP reimbursement scheme, Fair Lending, Consumer Financial Protection Bureau)
Preparing for regulation of emerging technologies (e.g. GenAI, LLMs)

3. Where is manual data processing or a lack of automation holding back your organisation when it comes to regulatory reporting? [select the most appropriate answer]

Manual data processing is holding back the majority of departments and tasks, including senior-level staff
We have some automation in place but there is still lots of manual data processing being used for everyday tasks
We still have some manual tasks in place but most of our data processing is automated
Nowhere, we have a highly automated regulatory reporting system in place

4. How much time on average do you spend each week doing manual data processes for regulatory compliance-related tasks? [select the most appropriate answer]

0-1 hours
1-5 hours
5-10 hours
10-15 hours
15+ hours

5. What are the most important risk management priorities for your organisation currently? [select top three]

Improving financial returns
Performing ad hoc risk analysis using real-time data
Reacting faster in volatile markets
Connecting data across the organisation
Meeting regulatory reporting standards
Reputation / protection of brand
Avoiding fines
Improving communications with investors

6. Are there any challenges within your organisation that are preventing you from meeting your risk management priorities? [select top three]

Regulatory change / compliance risks
Data quality and availability
Siloed data
Emerging risks
Company culture
Lack of IT support
Engaging with stakeholders
Uncertainty / volatility

7. What are the top barriers to fully integrating and connecting data, from inside and outside your organisation, for regulatory compliance and reporting purposes? [select top three]

Data privacy concerns
Data governance framework
Complexity of technology stack
Disparate systems
Legacy technology
Lack of education / knowledge
Lack of budget / investment
Corporate buy-in
Lack of automation / AI
Manual processes

8. Which of the following advanced technologies is your organisation exploring or implementing as part of its regulatory compliance strategy? [select all that apply]

Smart data fabrics
GenAI, LLMs
Machine learning
Quantum computing
Blockchain
Robotic process automation
Workflow automation
None of the above

9. What is the most important benefit of implementing new technologies to your regulatory compliance and reporting strategy? [select one option]

Accuracy / reducing errors
Introducing efficiencies
Reducing manual tasks
Addressing risks
Competitive edge over peers
Faster processes
Improving response rate to regulatory requirements

10. What are the most important regulatory compliance priorities for your organisation over the next 12 months? [select top three]

Reducing the number of solutions in the technology stack
Exploring or piloting GenAI technology
Implementing smart data fabric architecture
Increasing data automation / reducing manual data processes
Improving response time to regulators
Hiring more staff to deal with regulatory changes
Preparing for future regulation i.e. ESG, GenAI
Improving risk management
Connecting data across the organisation from both internal and external sources

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