BANKING involves sifting through tremendous amounts of data gathered from various clients and transactions recorded in the bank’s systems. External sources also add up to these data, including mobile operators, social networks, and credit bureaus, among others.
For banks to truly explore the full potential of their data, they need to ensure that the entire data lifecycle is adequately managed and governed — from data collection, recording, monitoring to visualization, analysis, and interpretation. When done correctly, data assets can add significant value to the bank’s profitability and sustainability.
With AI-enabled tools, financial institutions can effectively use and transform them into data intelligence, which is necessary for making intelligent business decisions and staying competitive and profitable.
Banks need a clear data strategy to utilize the full benefits from data, which constitutes three crucial aspects.
First is data management that involves data ownership and governance, including data collection, storage, structuring, review, cleaning, and monitoring.
Next is reporting and visualization, which involves the creation of an intelligent view of the bank’s performance, quality of the portfolio, staff productivity, and other categories necessary to drive the business.
And lastly, data analytics, which is deemed the most challenging yet valuable part of data strategy. Through analytical models developed by banks, they can predict customer behavior, understand better their needs and preferences, and proactively manage the overall business.
Becoming an ‘Intelligent Bank’
Among the country’s banks that utilize data intelligence is the UnionBank of the Philippines (UnionBank). As part of its data strategy, the UnionBank accelerated its digital initiatives further by collaborating with SAP to create a new banking model to support customer-centric services.
With the help of SAP Data Intelligence, UnionBank integrated into their systems the first-known “Data Science Factory” model in SEA’s financial sector. This model can help the bank realize an enhanced business management, improve internal processes, and have a better end-to-end perspective of all its operations.
UnionBank’s adoption of SAP Data Intelligence for its new digital model provides several advantages. This comprehensive data management solution helps the bank transform its distributed data sprawls into critical data insights, delivering innovation at scale.
Intelligent banks using this solution can easily find the most relevant data through enriched metadata tags, user-generated ratings and comments, and unified business glossaries. It can also build an enterprise data fabric that connects data silos and increases visibility into several data assets.
For UnionBank, SAP Data Intelligence serves as a critical pillar in the governance and management of internal processes. It aids the bank to streamline operations and stay ahead in regulatory compliance and risk management while supporting its new digital model. It also helps equip the bank’s administrators and other internal staff with the necessary insights and tools to provide high-quality customer service.
For instance, using its Data Science Factory model, all the data and insights gathered by UnionBank can help them enable hyper-personalized accounts, allowing the customers to understand their financial capabilities better. By personalizing these accounts, the bank can support whatever specific goals their customers want to achieve. It also makes it easier to fulfill its responsibilities like providing loans, managing savings, and offering other services with ease while protecting its customers’ privacy.
Making transactions easier
As UnionBank embraced this new model, the company also saw the need to improve its efficiency and communications internally, particularly since the bank handles numerous documents every day. To tackle this challenge, the bank now employs SAP Signature Management …….
Source: https://www.sunstar.com.ph/article/1919062/davao/feature/transforming-banks-with-data-intelligence