HC Consumer Finance Philippines, Inc.
Contact: Neeru Bala
Country: Philippines
Award Category: Community Uplift
Tell how you've used SAS to have a positive impact on your community.
We are utilizing SAS at Home Credit Philippines to ensure targeted, timely, and personalized customer communications, improving engagement and satisfaction. By optimizing non-voice channels, automating workflows, and refining data-driven strategies, we have enhanced financial accessibility and responsible lending. Our initiatives have empowered Filipinos to make informed financial decisions, ultimately improving their financial well-being.Through strategic data utilization and automation in SAS, we continue to drive customer-centric innovations while supporting Home Credit Philippines’ mission to provide inclusive financial solutions
What SAS products are you using and how are you using them?
Home Credit Philippines, we use a suite of SAS products to streamline our customer communication, campaign execution, and data analysis:
SAS Customer Intelligence (CI) & SAS RTDM – Used for real-time decisioning and targeted customer batch campaigns, ensuring timely and relevant communications.
SAS Visual Analytics – analyze campaign performance, customer behavior, and trends, allowing for data-driven optimizations.
SAS Enterprise Guide – Enables efficient data manipulation, reporting, and automation, improving productivity and accuracy in campaign development.
SAS Management Console – Used for user access management, metadata administration, and system performance monitoring, ensuring a stable and secure environment.
With the help of these tools, we have enhanced customer engagement, optimized operational efficiency, and improved financial accessibility for our customers.
What was your most surprising discovery about your work?
Most surprising discovery in my work with SAS and customer campaigns was realizing how small optimizations can create a big impact on both customer engagement and business performance.
For example, by refining our segmentation and automating workflows in SASCI/ RTDM, we significantly reduced manual errors and improved campaign efficiency, leading to higher response rates and better customer experiences.
Additionally, I found that data-driven insights from SAS Visual Analytics often challenge initial assumptions, helping us refine strategies and deliver more relevant, personalized offers. This has reinforced the importance of continuous testing, learning, and adapting in our campaigns.
