Standard Chartered Bank: Data Value Generation With Speed and at Scale
Meet Standard Chartered Bank
Doing More With Dataiku
The multinational banking and financial services powerhouse, Standard Chartered Bank, offers services to the world’s most dynamic markets.
Recently, through AI integration, Standard Chartered Bank has determined an effective course of action that allows them to take full advantage of the large amount of diverse data at their disposal.
Using Dataiku, Standard Chartered Bank deploys successful AI projects, accelerating true value generation while maintaining governed self service on projects. Bridging across a variety of financial reporting, planning, and analysis use cases, every individual of the organization is empowered to innovate and create for every project, every day.
Answer More Questions With Data, Faster
From 10 to 400 Million Rows of Data
The financial planning and analysis (FP&A) division at Standard Chartered Bank needed to leverage their existing ecosystem to full capacity, boost their ability to handle large volumes of data (i.e., 400 people producing over 5,000 pieces of information every month), and do so in a cost-effective manner.
By supplementing existing infrastructure, Dataiku quickly solved volume issues and opened up conversations about data to grander possibilities — both now for FP&A-specific use cases and in the future when teams scale to full ML.
Aspirations to Transform Banking With AI
Elevate Existing Talent
Dataiku plays a vital role in the complete transformation of business processes at Standard Chartered Bank. An area where this is particularly noticeable is in the upskilling of existing AI talent.
Systemizing the use of data and AI into the organization at large and making use of these applications in everyday behavior fosters innovation that permeates the organization.
Craig Turrell speaks on his observations of Dataiku, “My goal is to change the way the bank reports. We’ve taken very good accountants, given them Dataiku, and they’re producing brilliant stuff.”
In the video on the right from the IDC DX Summit, Sneha Kapoor, Practice Head, Intelligent Automation & AI at IDC, interviewed Craig on how the bank has disrupted its finance operations through collective intelligence. Standard Chartered Bank won the “Best of Future Operations Award for Singapore” at the event.
A New Spin on Self-Service Analytics
It’s Only Data Until You Democratize Banking Services
With Dataiku, Standard Chartered Bank has developed a data marketplace that people across the organization can leverage.
Dataiku is currently being used to operate three major systems at the bank and refreshes daily Tableau dashboards for all the bank’s finances with ease (a task previously laboriously done in spreadsheets).
A Center-of-Excellence (CoE) serves as an enterprise-level data connection hub from which every dataset and defined governance connects with teams across the entire organization.
Sustained Progress With Collective Intelligence
Accelerating Processes With AI for Years to Come
12 communities across Standard Chartered Bank leverage Dataiku to build “digital bridges” to the CoE’s core structured intelligence. Key for scaling AI effectively, the central access point provided through Dataiku streamlines what were previously inefficient and costly efforts to connect projects.
Continuing to upskill internal talent and transform business processes, Standard Chartered Bank aims to expand these communities even further, continuing to mitigate risk and save costs along the way.
“The choice of platform has really been a game changer for us. We are highly efficient. We are embracing a broader range of skills as well as tapping into the data computing power of the organization. That has allowed us to deliver quite extraordinary results in a very short period of time.”
Empowering the Entire Organization
Utilizing the Power of Predictive Analytics
In the years to come, Standard Chartered Bank plans to incorporate predictive analytics into FP&A.
Employing the vast capabilities of Dataiku, the vision of Craig and team is to create and support an independent, machine-driven analytics process that yields reliable, benchmarked intelligence — intelligence accessible to every team and harnessed on an enterprise level.
“By 2024, 50% of our use cases and analytics will include AI to some degree, and that is AI both as a peer that is helping us to explain and ask questions of what’s next and why things happened and also as a manager that helps us organize our work and tells us where to focus our questions and explanations. We need to think about AI differently, because we need to put AI in the hands of the masses of the organization.”
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