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Collections analytics

Collections analytics
Arum has vast experience of leveraging data and analytics to understand customer circumstances, determine the right treatment and improve performance”
Ross Alexander, Consultant - UK & Ireland

HOW CAN WE HELP YOU?

Collections strategy analytics is often the poor relation to customer acquisition. However, in today’s rapidly changing environment, having an analytics framework in collections and recoveries that enables effective business decisions and drives improvement in portfolio performance and customer unit economics is key.

Our collections analytics service will:

  • Identify internal and external data sources that can be levered to understand customer circumstances, preferences and behaviours
  • Use predictive analytical modelling to identify predictive variables and build propensity based scorecards
  • Devise appropriate treatment paths for defined segments of customers
  • Analyse tranche level performance to identify changes in performance over time
  • Identify root cause of changes and opportunities to course correct
  • Implement test and learn frameworks for continuous improvement
  • Assess opportunities to drive operational effectiveness e.g. dialler load balancing
  • Create and implement transparent, MI, reporting and controls
  • Create models to support keep, place and sell decision making

Discuss your needs with our team

WHAT BENEFITS WILL YOU SEE?

Our debt collection analytics service will help you to:

  • Understand factors impacting performance
  • Implement test and learn frameworks for continuous improvement
  • Identify and implement strategy improvements
  • Facilitate more informed decision making to optimise your P&L
  • Effectively monitor and track portfolio performance

Discuss your needs with our team


COLLECTIONS ANALYTICS IN ACTION

Case Study

Revenue increasing performance reports

Event

Duty-bound: Data-driven consumer outcomes

Event

Arum launches new Data Science and Analytics service to provide clients with better collections data insights

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Using data to improve council tax collections

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Getting to know your customers in collections through data

Accenture
Adobe
AIC
Aktiv Kapital
Aldermore
Anglian Water
Atom Bank
Bank Zachodni
Barnsley Council
Berneslai Homes
Britannia
British Gas
Business Stream
Butterfield
C&R Software
Cabot
Capgemini
Capquest
Centrica
Car Finance Company
CGI
Cognizant
Clydesdale Bank
Concentrix
Daimler
Debt Managers
Deloitte
Department for Work & Pensions DWP
Deutsche Bank
Drydens Fairfax
Eon
ESB
Experian
Exus
FICO
GE Money
HMCTS
Hito
HP
Hoist Finance
HSBC
IBM
ING
Intelligent Finance
International Personal Finance
JBW
KBC
Katabat
Liberata
L&Q
London Borough of Redbridge
Marstons
Money Barn
Motonovo
NatWest
New Day
Newham Council
Pega
Pepper
Qualco
Raiffeisen
RBS
Revenue Ireland
Scottish Power
SES Water
SLC
SSE
Standard Life
StepChange
Telrock (Optimus by)
Tesco Bank
Thames Water
Total
TSB
UISCE (Irish Water)
Walker Love
Westpac
Yorkshire Bank
YuEnergy

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