Client: NIBC
All Cases
Service: Strategy
Industry: Financial Services
The Challenge
NIBC retail bank wants to become a truly data-driven bank in order to maintain growth in a competitive market with shrinking margins and increasing cost pressure; therefore, ADC was asked to kickstart their data-driven transformation.
The Approach
ADC’s data-driven approach for NIBC consists of 3 main parts:
- Create excitement for the data-driven transformation within the bank by creating multiple prototypes that show short-term concrete results.
- Develop a strategy for lasting enterprise value using our signature organisation scan.
- Transfer knowledge from the ADC team to the internal team in order to aid in building best-in-class standards.
”It’s really impressive what the team from Amsterdam Data Collective has been able to achieve in terms of impact in only a matter of months. Thanks to their combination of senior marketing experience with state-of-the-art technical knowledge they are the perfect partner to translate our commercial data into value for the bank.
Richard Leijnse – Managing Director NIBC Retail Banking
The Solution
The project consisted of the following workstreams that ran simultaneously:
- Workstream 1: Identifying and prototyping the no-regret use cases. These are use cases in the marketing domain that require relatively limited effort and have a high impact on the commercial KPIs.
- Workstream 2: Using our proprietary organisation scan to identify the core processes and data-driven transformation opportunities in these processes that, as a result, led to a prioritised list of over twenty use cases, including impact assessment. During the first phase of the project, a transformation roadmap was made for creating maximum and sustainable value with data.
- Workstream 3: Conducting a data scan to analyse the current data situation (e.g. data availability, data quality, and current infrastructure). Subsequently, the gaps were identified and a future-proof data architecture was developed.
Impact for the Client
In only three months (phase 1 of the project), three prototypes were ready and validated with internal users. In addition, an internal data science team was set-up and started working alongside the ADC team for knowledge transfer, and the future-proof data architecture was designed. Above all, the first interventions have already been executed based on the actionable insights from the prototype models.
Let’s shape the future
Do you want to know more? Get in touch with Hans van Avendonk (Country Lead) of Amsterdam Data Collective, or check our contact page.
Related Cases
What stage is your organisation in on its data-driven journey?
Discover your data maturity stage. Take our Data Maturity Assessment to find out and gain valuable insights into your organisation’s data practices.
