Shaping the future: The strategic role of DataOps and emerging technologies in enhancing operational resilience for modern financial services


FStech and BMC Software are conducting a survey of financial services professionals to examine how DataOps and emerging technologies are shaping operational resilience, compliance, and scalability.

In this survey, DataOps (short for Data Operations), refers to a set of collaborative data management practices aimed at integrating people, processes, and technology to optimise an organisation’s data ecosystem to drive business value. By enhancing delivery and speed, ensuring data quality, fostering collaboration, and maximising data potential, DataOps helps organisations unlock greater efficiency and agility in their operations.

Operational resilience is defined as the ability for firms to deliver critical operations during operational disruption.


Questions
1. Which of the following methods or technologies is your organisation using to enhance operational resilience, i.e. to improve risk management and informed decision-making? [Select all that apply]
Data orchestration tools (e.g., platforms for integrating and automating data workflows)
Artificial Intelligence (AI) / Machine Learning (ML)
Automation
Generative AI (GenAI)
DataOps practices
Dashboards and visualisation tools
None of the above
2. What are the top benefits your organisation has experienced from incorporating data orchestration into risk management and decision-making processes? [Select up to three]
The following question is only active when the "Data orchestration tools" option is selected in Question 1
Improved integration and connectivity of data across departments and systems
Strengthened financial performance and return on investment (ROI)
Increased efficiency in meeting regulatory reporting and audit requirements
Enhanced ability to anticipate and address disruptions proactively
Reduced operational downtime and continuity disruptions
Greater agility in adapting to market or regulatory changes
Increased confidence in the organisations preparedness for future challenges
3. What role does DataOps play in the future resiliency of your organisation? [select most appropriate answer]
It plays a central role in our approach to operational resilience, with the majority of our operational resilience strategy supported by DataOps practices
Some of our operational resilience strategy is supported by DataOps practices but there is still some way to go
We do not currently have DataOps in place for our operational resilience strategy but plan to begin incorporating it in the near future
We do not currently have DataOps in place for our operational resilience strategy and have no plans to in the near future
4. What are the top barriers to implementing a successful DataOps strategy that your organisation has faced / is facing? [select top three]
Lack of clear regulation
Lack of technology / tools
Lack of skills / talent
Difficulty identifying use cases
Data quality concerns
Lack of access to / difficulty accessing data
Concerns around data security and ethics
Culture / resistance to change
Lack of automation
Organisational silos
5. Which of the following methods is your organisation implementing to overcome these barriers? [select all that apply]
Introducing a cross-functional DataOps team
Adopting strong governance and compliance processes
Fostering a data-driven culture through education and training
Identifying areas to pilot DataOps
Building a comprehensive view of data
Rolling out more automation
Implementing new systems
Hiring new talent
Implementing data orchestration tools
Introducing emerging technologies (e.g. genAI)
None of the above
6. What are the top benefits your organisation has experienced from incorporating DataOps practices into risk management and decision-making processes? [Select up to three]
Improved integration and connectivity of data across departments and systems
Strengthened financial performance and return on investment (ROI)
Increased efficiency in meeting regulatory reporting and audit requirements
Enhanced ability to anticipate and address disruptions proactively
Reduced operational downtime and continuity disruptions
Greater agility in adapting to market or regulatory changes
Increased confidence in the organisations preparedness for future challenges
7. In which areas is your organisation currently using Generative AI (GenAI) as part of its operational resilience strategy? [Select all that apply]
Incident response and troubleshooting, including accelerated resolution of critical issues
Identifying the root causes of anomalies and operational disruptions
Deploying chatbots for real-time assistance, operational troubleshooting, and generating on-demand reports
Conducting simulation and testing to prepare for potential disruptions or scenarios
Automating documentation and knowledge management processes for improved accuracy and efficiency
Enhancing predictive analytics to foresee and address emerging risks
Supporting compliance workflows, such as creating reports and analysing regulatory changes
Training and upskilling teams through AI-driven knowledge-sharing platforms
8. What are the top challenges your organisation has faced / is facing in adopting GenAI, as part of its operational resilience strategy? [select top three]
Lack of clear regulation
Lack of technology / tools
Lack of skills / talent
Difficulty identifying use cases
Data quality concerns
Lack of access to / difficulty accessing data
Concerns around data security and ethics
Culture / resistance to change
Lack of automation
Organisational silos
9. How is your organisation overcoming challenges associated with rolling out GenAI? [select all that apply]
Implementing DataOps practices
Rolling out an upskilling programme / introducing team-wide AI literacy
Updating information systems
Assigning a team or individual to lead the adoption
Establishing / strengthening data governance processes
Strengthening data management processes
Setting guardrails for responsible adoption
Orchestrating and automating data pipelines
None of the above
10. What are the top benefits your organisation has experienced from incorporating GenAI into risk management and decision-making processes? [Select up to three]
Improved integration and connectivity of data across departments and systems
Strengthened financial performance and return on investment (ROI)
Increased efficiency in meeting regulatory reporting and audit requirements
Enhanced ability to anticipate and address disruptions proactively
Reduced operational downtime and continuity disruptions
Greater agility in adapting to market or regulatory changes
Increased confidence in the organisations preparedness for future challenges
Please complete your details below.

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