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How Personalized Banking Help Users Enjoy Digitalization?
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How Personalized Banking Help Users Enjoy Digitalization?
How Personalized Banking Help Users Enjoy Digitalization? 1300 972 Exist Software Labs

In the age of digitalization, banking has become more than just a transactional relationship between customers and banks. Today, personalized banking is essential for customer satisfaction and retention. Customers expect a seamless banking experience that meets their unique needs, and banks that can provide that experience will be the most successful. In this blog, we will explore how personalized banking help users enjoy digitalization and how digital banking solution providers in the Philippines are leading the way in providing exceptional user experiences.

Personalized Banking – What is it?

Personalized banking is the practice of tailoring banking services to meet the individual needs of each customer. It involves using customer data to deliver personalized products, services, and communication channels that are tailored to their unique preferences, behaviors, and interests. This approach enhances customer engagement and fosters long-term relationship between customers and banks.

Digital Banking Solutions Provider in the Philippines – Leading the Way

The Philippines has emerged as one of the fastest countries to adapt to digital banking in South East Asia. Banks and Financial Institutions have been able to leverage the latest trends and technologies to deliver personalized banking solutions that meet the unique needs of each customer.

User Experience – The Key to Success

In the digital age, user experience is the key to success for banks. Customers expect a seamless omnichannel experience that allows them to access their banking services anytime, anywhere, and on any device. Banks that can deliver this experience will be the most successful in the long run. Personalized banking enables banks to provide a seamless experience that meets the unique needs of each customer, whether they are accessing their banking services via a mobile app, a website, or a branch.

Predictive Analytics and Business Intelligence – A Powerful Combination

Personalized banking is powered by data. Predictive analytics and business intelligence tools enable banks to use customer data to provide personalized products and services. Predictive analytics can help banks anticipate customer needs and behaviors, while business intelligence tools provide insights into customer preferences and behaviors. By combining these two technologies, banks can deliver personalized banking services that meet the unique needs of each customer.

Process Automation – Streamlining Banking Processes

Personalized banking can also help banks streamline their internal processes. Process automation technologies enable banks to automate routine tasks and free up staff time to focus on more important tasks, such as customer engagement and product development. By streamlining their processes, banks can deliver more efficient and effective services to their customers.

The Power of AI – Enhancing the Personalization of Banking Services

Artificial intelligence is also playing a growing role in the banking industry. AI technologies such as chatbots and virtual assistants are increasingly being used to deliver personalized banking services to customers. Chatbots and virtual assistants can provide customers with quick and convenient access to banking services, while also gathering data on their preferences and behaviors. This data can be used to deliver even more personalized banking services in the future.

Seamless Processes – Delivering Exceptional User Experiences

Personalized banking can help banks deliver exceptional user experiences that are seamless and hassle-free. By using customer data to deliver personalized products and services, banks can provide a user experience that is tailored to each customer’s unique needs. This can include everything from personalized marketing messages to customized product recommendations.

Here are some of the most interesting benefits of personalized banking that can improve the customer experience:

  1. Customized Products and Services: Personalized banking enables banks to deliver customized products and services that meet the unique needs of each customer. This can include customized interest rates, loan terms, and credit card rewards programs. By offering personalized products and services, banks can attract and retain customers who are looking for solutions that meet their specific needs.
  2. Faster Service Delivery: Personalized banking can also lead to faster service delivery. By using customer data to anticipate their needs and preferences, banks can deliver faster and more efficient services. This can include faster loan approvals, quicker credit card applications, and more personalized financial advice.
  3. Improved Security: Personalized banking can also improve security by using advanced authentication and fraud detection technologies. Banks can use customer data to build risk profiles that can detect unusual account activity and alert customers of potential fraud. This can help prevent financial losses and increase customer trust.
  4. Greater Convenience: Personalized banking can also increase convenience for customers. By offering a seamless omnichannel experience, customers can access their banking services anytime, anywhere, and on any device. This can include mobile banking apps, online banking portals, and in-person branch visits. By offering a convenient experience, banks can enhance customer engagement and retention.
  5. Enhanced Customer Loyalty: Personalized banking can also enhance customer loyalty by fostering long-term relationships between customers and banks. By offering personalized products and services, banks can create a sense of loyalty among customers who feel valued and understood. This can lead to increased customer retention and referrals.

Conclusion

Personalized banking is essential for customer satisfaction and retention in the age of digitalization. Banks that can deliver personalized banking services that meet the unique needs of each customer will be the most successful in the long run. 

Exist Software Labs, Inc. is the leading digital banking solutions provider in the Philippines and leading the way in providing exceptional user experiences that are powered by the latest trends and technologies. By leveraging technologies such as predictive analytics, process automation, and artificial intelligence, banks can deliver seamless, personalized banking services that enhance customer engagement & satisfaction.

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Befriending Your Data in 2021
Befriending Your Data in 2021 768 487 Exist Software Labs

It’s the new year and everybody is still living in the wake of the COVID-19 pandemic. We all need a friend in times of trouble and this is no different in the case of business organizations.

This year, 2021, the friend that your company needs more than ever, especially in these trying times, is data. Given the disruption that this virus caused in the preceding year, enterprises need to start (if they haven’t already) befriending their own internal data, and perhaps external data as well, if they are to at least stay viable and at most grow.

The following are some insights from respected data management leaders on how to make friends with your data this year:

  • Eran Vanounou, CEO at Varada

    “Data warehouses are not going to disappear. Data warehouses will continue to be an important legacy technology that organizations will use for mission-critical business application well into the future. With the transition to the cloud, data warehouses got a fresh new look and offer some modern attractive capabilities including self-service and serverless. With the rise of the cloud, data lakes are the new kid on the block. Data lakes are becoming a commodity, legacy technology in their own right. Their rapid emergence from the innovation stage means two things going forward.

    First, organizations will demand simpler, easier to manage, and more cost-effective means of extracting usable business intelligence from their data lakes, using as many data sources as possible. Second, those same organizations will want the above benefit to be delivered via tools that do not lock them into proprietary data management platforms. In short, 2021 will begin to see the rapid introduction and evolution of tools that allow users to keep their data lakes in one place and under their control while driving performance up and cost down.”

  • Paige Roberts, Open-Source Relations Manager at Vertica

    “Distributed analytical databases and affordable scalable storage are merging into a single new thing called either a unified analytics warehouse or a data lake house depending on who you’re talking to. Data lake vendors are scrambling to add ACID capabilities, improve SQL performance, add governance, resource management, security, lineage, all the things that data warehouse vendors have been perfecting for the last three or four decades. During the ten years, while data lake software has been coalescing, analytical databases have seen their benefits and added them to their existing stacks: unlimited scale, support for widely varied data types, fast ingestion of streaming data, schema-on-read, and machine learning capabilities. Just like a lot of things used to claim to be cloudy before they really were, some vendors will claim to be a unified analytics warehouse when they’ve just jammed the two architectures together into a complicated mess, but everyone is racing to make it happen for real. I think the data warehouse vendors have an unbeatable head start because building a solid, dependable analytical database like Vertica can take ten years or more alone. The data lake vendors have only been around about ten years, and are scrambling to play catch-up.”

  • Raj Verma, CEO at SingleStore

    “One single SQL query for all data workloads

    The way forward is based not only on automation, but also on how quickly and widely you can make your analytics accessible and shareable. Analytics gives you a clear direction of what your next steps should be to keep customers and employees happy, and even save lives. Managing your data is no longer a luxury, but a necessity–and determines how successful you or your company will be. If you can remove complexity or cost of managing data, you’ll be very effective. Ultimately, the winner of the space will take the complexity and cost out of data management, and workloads will be unified so you can write one single SQL query to manage and access all workloads across multiple data residencies.”

  • Prat Moghe, CEO at Cazena

    “Expect more enterprises to declare the battle between data lakes and data warehouses over in 2021 – and focus on driving outcomes and modernizing.

    Data warehouses can continue to support reporting and business intelligence, while modern cloud data lakes support all analytics, AI and ML enablement far more flexibly, scalably, and inexpensively than ever – so enterprises can go transform quickly.

    Cloud migrations and related cloud data lake implementations will get demonstrably faster and easier as DIY approaches are replaced by turnkey SaaS platforms. Such solutions will slash production cloud data lake deployment times from months to minutes, while controlling costs and providing the continuous operations, security and compliance, AI and ML enablement, and self-service access required for modern analytics initiatives. That means that migrations that used to take 9-12+ months are complete in a fraction of the time.”

  • Adi Paz, CEO at GigaSpaces Technologies

    “Co-locating analytics and operational data results in faster data processing to accelerate actionable insights and response times for time-sensitive applications such as dynamic pricing, hyper-personalized recommendations, real-time fraud and risk analysis, business process optimization, predictive maintenance, and more.

    To successfully deploy analytics and ML in production, a more efficient Data Architecture will be deployed, combining OLTP (CRM, ERP, billing, etc.) with OLAP (data lake, data warehouse, BI, etc.) systems with the ability to build the feature vector more quickly, and with more data for accurate, timely results.”

To summarize the various points made by these industry pundits:

1

SQL-driven data warehouses are here to stay and will continue to be the data analytics platform of choice for enterprises in the current year.

2

Data management platforms that integrate well with existing data lakes will dominate as opposed to platforms that focus on one or the other.

3

Data management platforms that have built-in AI/ML functionalities will dominate as well, as this eliminates the cost and complexity of separate AI/ML analytics platforms.

4

Data management platforms that are cloud-ready will also have an edge over those that are not.

Is there a data management platform that possesses all these qualities and has a proven track record in Fortune 500 companies?

Yes, there is. It’s called Greenplum. Read about it here.

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