Understanding customers is the foundation to a sustainable competitive advantage in banking. Therefore, financial marketers can no longer wait to embrace the power of advanced analytics to gain insights and evaluate opportunities that will improve cross-selling, up-selling and enhance share of wallet.
Financial marketers also need to extract more value from internal and external data sources, guiding product development, customer communication, innovation and growth.
First in a Series on Big Data and Banking
In a recent report from Celent entitled, "Customer Analytics in Banking: Why Here, Why Now?", senior analyst, Bob Meara writes that now is the time for banks and credit unions to leverage the advances in processing, memory, database design and analytic methods to improve performance and reduce costs. While the Celent analyst notes that some institutions are already on the path of using advanced analytics for decisioning and optimization, other organizations have only limited experience (this correlates with several other studies).
The following are the primary reasons why banks need to step up their customer analytics game:
- The New Normal: The banking industry is expected to remain revenue challenged for the foreseeable future as a result of low interest rates, moderate fee revenue, onerous regulation and a less than robust economy. As a result, it will be more important than ever for banks and credit unions to focus on all possible strategies to reduce costs and increase revenues. Some of these strategies, enabled by customer analytics include:
- Improved targeting of customer segments
- Moving from a product focus to a customer focus
- Better management (and measurement) of sales leads across channels
- Inclusion of custom customer incentives/rewards to influence behavior
- The Imperative for Customer Centricity: With customer delivery and communication channels expanding, and more customers interacting with their financial provider using online and mobile channels, always-on, real-time sales and service become imperative. Analytics can respond to the migration to digital channels by:
- Improving branch efficiency and effectiveness
- Integrating sales and service tools within a new digital environment
- Helping to drive high value, high touch traffic back to branches
- Technology Advancement: Customer analytic applications are no longer the sole domain of highly skilled specialists. Today's solutions can be accessed and used by marketers and other business users to answer complex inquiries. Improvements include:
- Collapsing of product silos and ability to process increased data sources
- Increased number of specialized vendor solutions and expanded talent
- Cloud-based solutions