Not if, but when.
Data at the core of banks’ transformation.
Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. New technologies will increasingly help banks focus their resources efficiently, make smarter decisions and improve performance.
Since 2015, Agilytic helps major banks reach their goals through the power of analytics, going beyond the dashboard and towards proactive recommendations for a more efficient commercial performance management, enhanced customer experience and smarter HR practices.
Demonstrated experience in banking
Banking has been one of the most active sectors in the history of Agilytic, with successful projects spanning the entire customer experience and support activities.
To name a few…
Commercial performance, in B2C and B2B
- Boost the ROI of marketing campaigns, through smarter segmentation, attribution modelling
- Provide the sales force with better leads, by scoring each individual prospect, and provide individualised products/services suggestions (see a B2B example).
- Increase the average revenue per client with “next best offers” recommendation models
- Provide with a better quote for credit rates: don’t leave precious basis points on the table while reducing the number of offers requiring human validation (see a pricing case study in home security)
- Monitor your competition’s moves through automated intelligence gathering
Customer experience & loyalty
Some say, “keep is the new get”. In an increasingly competitive sector, where switching banks can be done faster than you can say “PSD2”, customer experience is paramount to secure valuable relationships in the long run.
- Prioritise your projects for maximum impact thanks to a clearer link between each initiative and its impact on loyalty
- Reach out to your “clients at risk” before they switch: identify soon enough who is most likely to leave your bank and set up proactive retention campaigns equipped with individual offers most likely to secure a continued business.
- Improve customer experience and reduce cost-to-serve with client-facing “bots”
Risk and recovery
- Know your customer and reduce your exposure to various risks: fraud, money laundering or counterparty bankruptcy
- Fine tune the assessment of your clients’ financing needs through advanced transaction modelling
- Improve the recovered amounts through a clearer understanding of your debts at risk and optimised recovery campaigns (also: how we tackled the “bad debt” problem in healthcare)
Human resources
- Avoid productivity bottlenecks by anticipating employee absenteeism
- Optimize your team sizes and composition through smarter workforce management
- Improve the efficiency of your retention and recruitment efforts by anticipating employee departures
Insights. Actions. Results.
Since 2015, Agilytic helps organisations reach their goals through the smarter use of data. We have completed over 80 successful projects, in banking and beyond.
— M. Potier — Program Manager Advanced Predictive Analytics
— Michael Lyajoon — Head of Marketing Analytics
— A. Florence — Scrum Master | Analytics & AI
We enjoyed working with the highly skilled professionals from Agilytic, who brought us new insights and challenged us to get the best out of the project. Their analytical capabilities, can-do mindset and customer oriented approach were key to the successful delivery of the project. Very positive experience for ING. — M. Potier — Program Manager Advanced Predictive Analytics
“Agilytic has brought added value in multiple projects we handled within Analytics. We collaborate efficiently to provide answers to both business strategic questions and Data science challenges. Delivery of projects is fast and business mindset is incorporated in the recommendations. Interaction with the other team members is optimal and highly appreciated. Agilytic brings innovative ideas that will help our business remain competitive in the banking sector. I certainly recommend Agilytic. — Michael Lyajoon — Head of Marketing Analytics
“Agilytic brought a very strong drive towards delivery, and a very efficient handling of all internal stakeholders of the project. They showed pro-activity and autonomy, and were immediately operational.Their contribution and mindset are very highly valued within the team. — A. Florence — Scrum Master | Analytics & AI
