Transformation of the National Bank of Greece with SAS® Viya® on Azure
Advanced analytics and AI in the cloud transform bank operations.
in facing global economic changes
Leading Greek financial institution pursues digital transformation backed by advanced analytics to become the bank of choice for businesses and private individuals
The National Bank of Greece (NBG), which was the first commercial bank in the country, now boasts 180 years of ongoing operations and 5.5 million retail customers. The bank plays a vital role in supporting the Greek economy, contributing to national development and promoting social transformation.
In recent years, NBG has drafted a demanding business transformation plan to become more agile and modern while improving profitability. At the same time, the bank’s leaders have prioritized relationships with customers to propel NBG toward becoming the bank of preference for Greek businesses and private individuals by 2022.
“The bank has set certain strategic goals, one of which includes the increase and enhancement of income sources via a customer-centric approach,” explains Pantelis Maraveas, Assistant General Manager of Retail Segments, Bank Analytics and Liability Products at NBG. “A second goal pertains to the improvement of the organization’s agility against global economy changes, also entailing a more sufficient management of operating expenses and processes. Therefore, investing in analytics is a strategic decision that will help NBG achieve its goals.”
SAS Viya is cloud-ready, and the transfer of operations to the cloud is intertwined with our strategy. Pantelis Maraveas Assistant General Manager of Retail Segments, Bank Analytics and Liability Products National Bank of Greece
Ensuring success with an analytics center of excellence
NBG has prioritized the digital transformation of its technological infrastructure to improve efficiency and ensure future success. In this context, the bank has modernized its analytics platform with a gradual cloud transition.
To help its transition to the cloud, NBG expanded its strategic collaboration with SAS and chose SAS Viya as its central analytics management platform. Self-service data mining, artificial intelligence and machine learning capabilities will enable NBG to quickly address complex business challenges.
The Bank has established an enterprise analytics and decisioning engine, for certain areas, managed by the Business Analytics Center of Excellence (CoE), to achieve its digital transformation objectives. The CoE is a hub that acts as a catalyst in the bank’s effort to integrate new analytics technologies into specific daily operations. Goals of the CoE include operationalizing analytics and leveraging on their power for achieving strategic goals.
“By setting up the CoE, we managed – within a short period of time – to create a clear strategy in connection with the processing and utilization of our data (both structured and unstructured) to support the decision-making process in a swift and cost-effective manner across the organization,” Maraveas says. “The strategy has allowed us to speed up the rollout of new analytics projects, to decrease the go-to-market time (via Azure usage), and to address our customers’ demands in a swifter manner, thus acquiring the anticipated business value more quickly than expected.”
“With the SAS Viya implementation in the cloud, we have significantly improved the CoE’s development of new analytics infrastructure by notably decreasing the costs and the complexity of processes, and by acquiring agility, speed and efficiency,” Maraveas says.
National Bank of Greece – Facts & Figures
NBG sees advantages of SAS Viya on Azure
The flexibility of the SAS platform, combined with the Microsoft Azure platform cloud elasticity, helps the organization reshape the infrastructure based on needs, which arise not only from daily operations, but also from new projects that are about to begin.
Capabilities offered by the cloud architecture relieve the CoE of time restrictions relating to technical infrastructure availability, and make it easy to move analytics projects directly from the design phase to the rollout phase.
Finally, the platform is open to all technology, allowing developers to use code from several different programming tools, such as Python, R, Java and Lua. The platform is also easy to use, offering complex analyses exclusively in a graphic manner and achieving the democratization of analytics to a great extent. These features help the bank make the most of its existing talent while also attracting new talent in the field of data science.
“SAS Viya is cloud-ready, and the transfer of operations to the cloud is intertwined with our strategy,” Maraveas says. “Additionally, it is an integrated platform; namely, it has everything we need to have our data both analyzed and visualized. Therefore, each time a new application is needed, we know it is available on the platform. Our final selection was also based on the fact that the bank had an existing relationship with SAS, and furthermore, had created many dedicated applications, which were based on SAS technology.”
Die in diesem Artikel dargestellten Ergebnisse sind auf die hier beschriebenen besonderen Situationen, Geschäftsmodelle, Dateneingaben und Computerumgebungen zugeschnitten. Die Erfahrung jedes SAS-Kunden ist aufgrund geschäftlicher und technischer Variablen einzigartig, und alle Aussagen sind als untypisch anzusehen. Die tatsächlichen Einsparungen, Ergebnisse und Leistungsmerkmale hängen von den individuellen Kundenkonfigurationen und -bedingungen ab. SAS übernimmt keine Garantie oder Zusicherung, dass jeder Kunde ähnliche Ergebnisse erzielt. Die einzigen Garantien für SAS-Produkte und -Dienstleistungen sind diejenigen, die in den ausdrücklichen Garantieerklärungen in der schriftlichen Vereinbarung für solche Produkte und Dienstleistungen aufgeführt sind. Nichts von dem hier Veröffentlichten ist als zusätzliche Garantie auszulegen. Kunden haben ihre Erfolgsgeschichten mit SAS im Rahmen eines vertraglich vereinbarten Austauschs oder einer Zusammenfassung zum Projekterfolg im Anschluss an einen erfolgreichen Abschluss einer Implementierung von SAS-Software kommuniziert. Marken- und Produktnamen sind Markenzeichen der jeweiligen Unternehmen.