- Augmented Analytics
- Big Data Analytics
- Business Analytics
- Data Governance & Data Fabric Architecture
- Data-Driven Strategy & Transformation
- Performance Management & Improvement
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Financial regulators intensive work in building up new market confidence and financial stability is imposing big changes in the rules for managing financial products and customers’ relations.
Furthermore, banks can no longer be considered at a local level as they act and compete at least regionally (EU, USA, APAC …) or even globally.
The ever-growing contact channels (ATMs, agencies, web portals, apps, and social media) is inducing a further increase in customer relationship complexity. Moreover, an emerging key factor for traditional commercial banks and insurance institutions is the new competition generated by digital financial companies and e-commerce players that provide financial services under their brand.
Monitoring the new services today is so essential in financial activities to the point that their impact is the main driver of success or failure in their strategies.
We are fully aligned with this perspective, and in this sense, we set up specific practices on these topics.
Customer orientation to offer a tailor-made solution, long-lasting and profitable.
Multichannel Content & Transactions
Points of contact management, both physical and digital.
Optimization of expenses and investments of both central and local structures.
Compliance with new Global requirements (Risk Weighted models, Asset Quality Review, Supervisory Review and Evaluation Process, Solvency) and regulators requirements (Oversight Alerts, Anti Money-Laundering, Privacy).
SREP compliant, Customer Centric and Risk-Based planning/control models
Audit & Compliance
Design and development of long-distance analysis systems and Internal Audit.
CRM & Big Data Analytics
Clients’ records and data collection from external and internal sources, in order to broaden the offering of products through more effective channels.
Assessment of operational adequacy of internal and external processes.
Design and development of enterprise models, adaptation of existing solutions to Data Governance and Data Quality regulatory requirements.
Support to a centric Business & Compliance model development.