Masterclass A: From Cost Center to Profit Center – Unlocking Business Value through Data & Analytics
The goals of Chief Data & Analytics Officers within financial services are changing. Several years ago, the main driver for the role was regulatory compliance and so CDAOs were tasked with getting their data into shape, focusing establishing a strong governance framework and high quality, accurate data. Now, to justify their budgets, CDAOs must go… Read more.
Masterclass B: Making Artificial Intelligence an Integral Part of Your Organization’s Decision Making Process
New and developing technology has the potential to revolutionize the way in which financial services companies operate, perhaps none more so than Artificial Intelligence. Institutions which fail to successfully exploit AI, risk being at a competitive disadvantage and could be left behind. Therefore, it is of vital importance that CDAOs get to grips with AI… Read more.
Keynote Presentation: Power to the CDAO! Leading Your Financial Enterprise through it’s Data Journey
Data as a source of innovation – utilizing your information to out-compete your opponents Neutralizing resistance to change – drive your enterprise into the data era through strategic leadership Minimizing disruption, maximizing performance, and embedding the transition.
What challenges do CDAOs face in financial services that are unique to the industry? How can these be overcome? A high stakes industry – Have we adequately responded to the greater damage failure could cause in terms of reputational damage & regulatory compliance? Given the financial industry was an early adopter of the CDAO role,… Read more.
In such a heavily regulated industry, how can we ensure red tape is not a barrier to innovation? Achieving efficiency in the era of compliance How can you change the perception of your data & analytics office from being regulatory driven, to enterprise focused?
Setting a strategy – how should CDAOs decide their long term goals, and plan the steps required to reach them? How do we ensure that our data & analytics strategy aligns with the priorities of the wider business over time, and what is the key to ensuring tight linkage between the two? What one tip… Read more.
Is it possible to achieve data governance perfection, and if not, how good should we be aiming for? Balancing the need to maintain order with exploiting the explosion of data sources available Has the need for comparatively high standards of data governance in the financial services industry stifled innovation?
Assessing the benefits of Cloud technologies – are they the right choice for you? What steps can be taken to mitigate the potential downsides to the cloud? Can the Cloud be considered sufficiently secure for use in a Financial Services environment?
What do your clients want from their Financial Services provider? Utilizing analytics to assess demand Can the finance industry realistically meet the ever increasing expectations of consumers? Applying analytics to gain a 360 degree view of the customer
Tired of searching for Unicorns who can do it all? Explore how to more effectively structure your team across different roles to ensure future success Building on strong foundation – Managing your data to deliver value more quickly. Garbage in, garbage out – Using Data Engineers to insure that investment is getting the best possible… Read more.
Discussion Group 2B: Automation, Automation, Automation! Utilizing Automation to Turbo-Charge your Enterprise
Which process can we successfully automate in order to free up resources, improve efficiency and reduce cost? Identifying key use cases of automation in the financial services industry – data entry, fraud detection, customer service, and more Cutting through the hype – What is realistically achievable?
Using data to identify and inform the development of new financial products to increase the likelihood of success Optimizing pricing strategies through analytic insights Precise guided products – Targeting the right products at the right people
Unlocking the benefits of personalization for your enterprise – Improving acquisition, satisfaction, retention, and profitability Using data & analytics to predict what the customer wants, and give it to them Dealing delicately with public perception at a time when some customers demand personalization, whilst others are uncomfortable with it
What tools and technologies are required in order to implement real-time analytics successfully? Exploring different use cases for real time analytics in financial services; customer service, personalization, fraud detection, credit scoring, AML checks, and more Are additional data governance processes required to make real-time decisioning work, and enable historical data to interact with real-time financial… Read more.
Panel Discussion: Getting Ready to Go Digital – Supporting Your Institution’s Digital Transformation as the CDAO
How can your data & analytics program help to enable the digital transformation of your whole organization? Should digital transformation be a cross functional responsibility, and what is the CDAOs place in this? What are the risks of failing to ensure linkage between your data strategy and your digital strategy? How can this be avoided?