Digital Transformation

Digital Banking Technologies that will arise in 2023

Digital Banking in 2023 – What to Expect

Digital Banking in 2023 – What to Expect 650 486 Exist Software Labs

Technology became unwavering as it conquered many battles in the last two years when the pandemic became a primary problem in different business sectors across the whole world. While sudden changes broke their business plans, this too established adapting technology, especially in the banking and financial services industry.

We all know that 2022 was an exciting year for the banking industry since it opened a lot of opportunities for businesses. But this 2023, banks and financial institutions will continue to evolve with the new market trends that would create next-generation digital banking solutions and meet their customer needs when it comes to seamless operations, online transactions, and 24/7 banking. 

Here are the technologies we need to look at when it comes to Digital Banking this 2023:

1. Cloud-Based Banking

Cloud is one of the biggest trends in the post-pandemic era because of the advantages when it comes to security and online access to data. At first, chief officers and executives were skeptical about having a cloud-based banking platform, particularly on security and information sensitivity but realizing that cloud has a secure framework and could give financial firms endless scalability and access to the internet, this technology would get to expand.

As end-users embrace digitalization, banks must stay relevant and innovate services that give convenience and personalization to their customers. Cloud-based banking is a powerful technology that will truly empower banks and financial institutions this 2023 and beyond.

2. Identity Verification & Fraud Prevention

According to the BSP’s Inclusive Finance article, it is a state wherein there is effective access to a wide range of financial services for all, especially the vulnerable sectors. In line with this, digital customer onboarding should be a primary feature in the Banking applications to enroll their users online easily. However, banks are prone to identity theft and fraudsters that’s why they need to have a reliable eKYC solution and identity proofing.

Jumio is an end-to-end eKYC Platform that helps banks to have automated identity proofing, eKYC, and Transaction Monitoring. From onboarding to monitoring, they build trust based on your terms.

  • Jumio is one of the technology partners of Exist Software Labs, Inc. (Learn More)

3. Always-On Financial Observability & Monitoring

While our human bodies cannot be awake 24/7 and need to take rest, banks’ operational systems, data warehouses, third-party applications, etc., should be observed in real-time without a blink of an eye. Banks are handling tons of data per minute like transactions, financial records, analytics, and reporting tools. Good thing, Real-Time Observability Technology’s primary duty in a bank’s system is to identify critical issues, diagnose and resolve them to prevent outage & fix infrastructure before it creates an impact on the business.

4. Open Banking APIs

The Banking and Financial Services landscape continues to evolve as they work with other companies in creating a convenient and innovative financial ecosystem and part of it is acquiring an Open Banking API (Application Programming Interface) Integration. While some of the banks don’t want this kind of development because of information sharing, this technology benefited the end-users to access new helpful applications to make it an omnichannel digital banking platform inside their mobile apps like investments, cryptocurrency, savings plans, & insurance.

5. Embedded Finance (BNPL)

Banks & Financial Services are more rapid than ever since companies considered cashless and online transactions. Embedded Finance is an integration of different financial services to businesses in one application without the need to transfer them to other branches or other landing pages (when online). To encapsulate this, you can see payments, investments, lending & insurance to a real estate application or to a health care provider’s application. (See the infographic below)

Embedded Finance Illustration

According to Mckinsey’s Global Payment Reports, Embedded Finance reached $20 Million in revenue in the US alone. Could you imagine how impactful it was in the world? That’s why most companies in APAC are now getting this technology to really help them to grow their revenue.

6. Blockchain

Blockchain technology is slowly but surely making its impact on banks and financial services by proving that it is the most prominent technology this decade. Most of us heard this word but we are not yet seemingly seeing its effect. Blockchain is expected to revolutionize the banking industry and other businesses like retail, healthcare, and more. 

Blockchain will be expected to accelerate international transfers and monetary transactions faster, more cost-effective, and more secure. Right now, when we are doing fund transfer from one country to another, our transactions can take multiple hours with a processing fee before it gets to the recipient. Blockchain, on the other hand, can empower these parts to make it faster and simpler for more efficient transactions. Some fintech in the PH is using their digital wallet to cash in, save, and invest in a crypto wallet.

There are a lot of features and advantages we can look forward to with blockchain technology like reducing the cost of the BFS industry, reducing human errors by automating record transactions, more efficient banking, and more!

Conclusion:

As we can see, there are so many technological innovations that can be customized based on the bank’s and financial institutions’ offerings. They can utilize it to provide seamless, omnichannel, and powerful banking. However, this can only be possible by tapping into an IT solutions provider or Software developer that can truly help you in your digital transformation this 2023. Exist Software Labs, Inc. is one of the technology innovators in the Philippines with over 2 decades of experience in bringing the value of technology to humans.

Big Data, Data Solutions, Healthcare, Retail

Trends and Industries: How Data Solutions upend existing sectors to new heights in 2023?

Trends and Industries: How Data Solutions upend existing sectors to new heights in 2023? 650 486 Exist Software Labs

The defining era of data is currently upon us. Business model threats and economic shocks are common. Power is changing wherever you look, including in the market, our technological infrastructure, and the interactions between companies and customers. Change and disruption have become the norm. Data Solutions have been useful in innovating the industry.

Data-savvy businesses are well-positioned to triumph in a winner-take-all market. In the past two years, the distance between analytics leaders and laggards has increased. Higher revenues and profitability can be found in companies that have undergone digital transformation, embraced innovation and agility, and developed a data-fluent culture. Those who were late to the game and who still adhere to antiquated tech stacks are struggling, if they are even still in operation.

So, when you create your data and analytics goals for 2023, these are the key trends to help you stay one step ahead of your competitors.

Healthcare

Data Analytics and Data Solutions can be used to improve patient outcomes, streamline clinical trial processes, and reduce healthcare costs. 

Some specific examples of how Analytics is being used in healthcare include:

  1. Improving patient outcomes: Analytics can be used to identify patterns and trends in patient data that can help healthcare providers make more informed decisions about treatment plans. For example, data from electronic health records (EHRs) can be analyzed to identify risk factors for certain conditions, such as heart disease or diabetes, and to determine the most effective treatments for those conditions.
  2. Streamlining clinical trial processes: Data Analytics can be used to improve the efficiency of clinical trials by allowing researchers to identify suitable candidates more quickly and by helping them to track the progress of trials more closely.
  3. Reducing healthcare costs: Analytics can be used to identify inefficiencies in healthcare systems and to help providers implement cost-saving measures. For example, data analysis can be used to identify patterns of overutilization or unnecessary testing, and to develop strategies for reducing these costs.

Financial services

Data Analytics can be used to detect fraud, assess risk, and personalized financial products and services. 

Some specific examples of how Data Analytics is being used in the financial industry include:

  1. Fraud Detection: Data Analytics can be used to identify patterns and anomalies in financial transactions that may indicate fraudulent activity. This can help financial institutions to prevent losses due to fraud and to protect their customers.
  2. Risk Assessment: Analytics can be used to assess the risk associated with various financial products and services. For example, data analysis can be used to assess the creditworthiness of borrowers or to identify potential risks in investment portfolios.
  3. Personalizing financial products and services: Analytics can be used to gain a deeper understanding of individual customers and to personalize financial products and services accordingly. For example, data analysis can be used to identify the financial needs and preferences of individual customers, and to offer customized financial products and services that are tailored to those needs.

Retail

Retail companies can use Data Analytics to optimize pricing, understand customer behavior, and personalize marketing efforts. 

Some specific examples of how Data Analytics is being used in the retail industry include:

  1. Prizing Optimization: Retail companies can use Data Analytics to identify patterns in customer behavior and to optimize their pricing strategies accordingly. For example, data analysis can determine the most effective price points for different products and identify opportunities for dynamic pricing (i.e., adjusting prices in real time based on demand).
  2. Understanding customer behavior: Analytics can be used to gain a deeper understanding of customer behavior and preferences. This can help retailers to make more informed decisions about the products and services they offer, and to identify opportunities for cross-selling and upselling.
  3. Personalizing marketing efforts: Analytics can be used to deliver more personalized and targeted marketing efforts to customers. For example, data analysis can be used to identify customer segments with similar characteristics and to develop customized marketing campaigns for each segment.
  4. Cost Reduction: Being able to have a JIT (Just in Time) procurement and storage of items which in turn increases/optimizes warehouse capacity and reduces spoilage, and improves logistics.

Manufacturing

Data Analytics can be used to optimize supply chain management, improve production efficiency, and reduce costs. 

Some specific examples of how Data Analytics is being used in the manufacturing industry include:

  1. Optimizing supply chain management: Analytics can be used to improve the efficiency of the supply chain by identifying bottlenecks and inefficiencies, and by developing strategies to address these issues.
  2. Reducing fuel consumption: Analytics can be used to identify patterns in fuel consumption and to identify opportunities for fuel savings. For example, data analysis can be used to identify the most fuel-efficient routes or to identify vehicles that are consuming more fuel than expected.
  3. Improving fleet management: Analytics can be used to improve the efficiency of fleet management by identifying patterns in vehicle maintenance and repair data, and by helping fleet managers to develop strategies to optimize vehicle utilization and reduce downtime.
  4. Forecast roadworthiness of vehicles: This can help set trends on when a vehicle would break down or need repairs based on utilization, road conditions, climate, and driving patterns.

Energy

Data Analytics can be used to optimize the production and distribution of energy, as well as to improve the efficiency of energy-consuming devices.

Some specific examples of how Analytics is being used in the energy industry include:

  1. Optimizing the production and distribution of energy: Analytics can be used to optimize the production and distribution of energy by identifying patterns in energy demand and by developing strategies to match supply with demand. For example, data analysis can be used to predict when energy demand is likely to be highest and to adjust energy production accordingly.
  2. Improving the efficiency of energy-consuming devices: Analytics can be used to identify patterns in energy consumption and to identify opportunities for energy savings. For example, data analysis can be used to identify devices that are consuming more energy than expected and to develop strategies to optimize their energy use.
  3. Monitoring and optimizing energy systems: Analytics can be used to monitor and optimize the performance of energy systems, such as power plants and transmission grids. Data analysis can be used to identify potential problems or inefficiencies and to develop strategies to address them.

Agriculture

Analytics can be used to optimize crop yields, improve the efficiency of agricultural processes, and reduce waste.

Some specific examples of how Data Analytics is being used in agriculture include:

  1. Optimizing crop yields: Analytics can be used to identify patterns in crop growth and to develop strategies to optimize crop yields. For example, data analysis can be used to identify the most suitable locations for growing different crops and to develop customized fertilization and irrigation plans.
  2. Improving the efficiency of agricultural processes: Data Analytics can be used to identify patterns in agricultural data and to develop strategies to optimize processes such as planting, fertilizing, and harvesting.
  3. Waste Reduction: Analytics can be used to identify patterns in food waste and to develop strategies to reduce waste. For example, data analysis can be used to identify the most common causes of food waste on farms and to develop strategies to address those issues.

These are just a few examples of the many industries that are likely to adopt Data Analytics technologies as part of their digital transformation efforts in the coming years. 

Other industries that are also likely to adopt Analytics Technologies include Government, Education, and Media, among others. In general, Data Analytics Technologies are being adopted across a wide range of industries because they can help organizations to gain insights from their data, make more informed decisions, and improve their operations. 

As more and more organizations recognize the value of Analytics, it’s likely that we’ll see even greater adoption of these technologies in the coming years.

To learn more about our Data Solutions Services, click here.

Data Science, Science and Technology

Data Science 101: The concepts you need to know before entering the Data Science world.

Data Science 101: The concepts you need to know before entering the Data Science world. 650 486 Exist Software Labs

I was playing around with data and then I found the Science — Yes, my introduction to the world of Data Science has been a part of my research work.

If you’re like me, starting out with Data Science looking for resources that can give you a jump start or at least a better understanding of it or you have just heard/read the term being coined and want to know what it is, of course, you can find a gazillion materials about it, this is, however, how I started and got familiar with the basic concepts.

What is ‘Data Science’?

Data Science provides meaningful information based on larger amounts of complex data or big data. Data Science, or if you would like to say Data Driven Science, combines different fields of work in statistics and computation to interpret data for decision-making purposes.

Understanding Data Science

How do we collect data? — Data is drawn from different sectors, channels, and various platforms including cell phones, social media, e-commerce sites, various healthcare surveys, internet searches, and many more. The surge in the amount of data available and collected over a period of time has opened the doors to a new field of study based on big data — the huge and massive data sets that contribute towards the creation of better operational tools in all sectors.

The continuous and never-ending access to data has been made possible due to advancements in technology and various collection techniques. Numerous data patterns and behavior can be monitored and it can make predictions based on the information gathered.

In technical terms, the above-stated process is defined as Machine Learning; in layman’s terms, it may be termed Data Astrology — predictions based on data.

Nevertheless, the ever-increasing data is unstructured in nature and is in constant need of parsing in order to make effective decisions. This process is really complex and very time-consuming for organizations — and hence, the emergence of Data Science.

A Brief History / Background of Data Science

The term ‘Data Science’ has been in existence for about three decades now and was originally used as a substitute for ‘Computer Science’ in the 1960s. Approximately 15–20 years later, the term was used to define the survey of data processing methods used in different applications. 2001 was the year when Data Science was introduced to the world as an independent discipline.

Disciplinary Areas of Data Science

Data Science incorporates tools from multiple disciplines in order to gather a data set, process and derive insights from the data set and interpret it appropriately for decision-making purposes. Some of the disciplinary or noteworthy areas that make up the Data Science field include Data Mining, Statistics, Machine Learning, Analytics Programming, and the list goes on. But, we would be doing a brief discussion mainly on the aforesaid topics as the concept of Data Science mainly revolves around these basic concepts, just to keep it simple.

Data Mining applies algorithms to the complex data-sets to reveal patterns that are then used to extract useful and relevant data from the set.

Statistics or Predictive Analysis use this extracted data to gauge events that are likely to happen in future based on what the data shows happened in the past.

Machine Learning can be best described as an Artificial Intelligence tool that processes massive quantities of data that a human is incapable of doing in a lifetime — it perfects the decision model presented under predictive analytics by matching the likelihood of an event happening to what actually happened at a predicted time in the past.

The process of Analytics involves the collection and processing of structured data from the Machine Learning stage using various algorithms. The data analyst interprets, converts, and summarizes the data into a cohesive language that the decision-making team can understand.

Data Scientist

Literally speaking, the job of a Data Scientist is multi-tasking: We collect, analyze and interpret massive amounts of structured and unstructured data, and in a maximum number of cases, to improve an organization’s operations. Data Science professionals develop statistical models that analyze data and detect patterns, trends, and various relationships in data sets.

This vital information can be used to predict consumer behavior or to identify business and operational risks. Hence, the job of a Data Scientist can be described as a story-teller that uses data insights in telling a story to the decision-makers in a way that is understandable. The role of a Data Scientist is becoming increasingly important as businesses rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies.

Present & Future of Data Science

Data Science has become the real thing now and there are potentially hundreds and thousands of people running around with that job title. And, we too have started seeing these Data Scientists making large contributions to their organizations. There are certainly challenges to overcome, but the value of data science from a business point of view is pretty clear at this point.

Now, thinking about the future, certain questions definitely arise — “How will the practice of data science be changing over the next five years? What will be the new research areas of data science?”

“Will the fundamental skills remain the same?”

These are certainly debatable questions, but one thing is for sure — inventions have happened and will continue to happen when there arises any demand for the betterment of the future. And, the world would keep benefiting from data science through its upcoming innovations.

The possibilities of how to utilize Data Science in real-world scenarios are endless! Our Data Solutions team would be happy to help you capitalize on this technology for your enterprise.

Feel free to contact us through this link: https://exist.com/data-solutions/

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Exist Software Labs Inc and Informatica Pocket Session: Realizing Data Governance Benefits in a Cloud-Hybrid World

Exist Software Labs Inc and Informatica Pocket Session: Realizing Data Governance Benefits in a Cloud-Hybrid World 650 486 Exist Software Labs

Exist Software Labs Inc and Informatica Pocket Session: Realizing Data Governance Benefits in a Cloud-Hybrid World

On September 15, Exist Software Labs, in a joint effort with Informatica, gathered various market leaders from various verticals to conduct another pocket session on Data Governance and its benefits in a Cloud-Hybrid World.

Jon Teo, Data Governance and Privacy Expert at APJ spoke at the event about the benefits of Data Governance. He demonstrates how Data Governance helped various industries such as healthcare, automotive, insurance, manufacturing, power, and others around the world by leveraging its risk and compliance to protect the enterprise, as well as data intelligence that unlocks more value and data opportunity for businesses.

According to him, rapid cloud adaptation and a hybrid ecosystem generate more volume from more sources, making it difficult to discover, manage, and control data, requiring the urgent need for an agile data governance approach.

Kingsley Dsouza, a Technical Data Governance Privacy Domain Expert, was one of the speakers who also demonstrated Informatica’s Data Governance services. According to him, “Data Governance platform helps users in finding information that will assist them in solving their day-to-day business problems, which most organizations struggle with and take a long time to process.”

It’s no secret that the Asia-Pacific region lags behind the rest of the world in data management, with less than 50% of organizations having standardized data management capabilities. As the amount of data generated in the region continues to grow at an exponential rate, organizations are scrambling to find effective ways to manage and store all of this information, which is where the agile data governance approach comes into play.

Mitigate security risks and ensure compliance with data privacy laws by standardizing your data management! Get in touch with our team to know more.

Download our FREE DATASHEET!

Begin your journey toward data maturity.
and transform into a data-driven organization today!

Did you miss the event?

Watch the Realizing Data Governance Benefits in a Cloud-Hybrid World Video On Demand now!

IDMC

Exist Software Labs Inc. and Informatica held a joint Pocket Session on Intelligent Data Management Cloud at the Shangri-La Fort Hotel in BGC!

Exist Software Labs Inc. and Informatica held a joint Pocket Session on Intelligent Data Management Cloud at the Shangri-La Fort Hotel in BGC! 650 486 Exist Software Labs

Exist Software Labs Inc. and Informatica held a joint Pocket Session on Intelligent Data Management Cloud at the Shangri-La Fort Hotel in BGC!

‘Data is the new oil. Like oil, data is valuable, but if unrefined it cannot really be used. It has to be managed/processed (integrated, mapped, transformed) to create a valuable entity which provides insights that drives profitable activities.’ – Informatica

Exist Software Labs inc collaborated with Informatica for an exclusive face-to-face event last July 28, 2022, at the Shangri-La Fort Hotel in BGC. The guests were able to meet with data management expert and Informatica’s Head of Cloud Product Specialist, Daniel Hein, who shared how companies can bridge the gap between technology and business through automation, integration, and data governance, unlocking true business value from data.

The world is changing, and so are your business’s needs. You must be able to adapt quickly to keep up with the changes. “In the last two years, a lot has changed. We are faced with new ways of doing business; the world is moving to a data-driven digital economy… However, there are CONSTRAINTS that you must overcome.” says Daniel Hein, Head of Cloud Product Specialists, APAC and Japan.

That is why businesses must change their approach. The new Intelligent Data Management Cloud intends to help clients with that! The first and most comprehensive AI-powered data management solution in the industry. A single cloud platform. Every cloud-native service you’ll ever need for next-generation data management.

IDMC

Meet the new Intelligent Data Management Cloud of Informatica!

IDMC platform cuts through red tape and provides accurate AI models across your organization so you can make timely decisions based on the most up-to-date information. It also gives you 360-degree views of your data across all areas of your business—so you can see who has access and what they’re doing with it—and allows easy workflow management. And because it is built on top of an enterprise cloud platform, it is equipped with a powerful security model that helps keep sensitive information secure from hackers.

If you’re looking for a way to help your company prepare for this transition and stay competitive in an ever-changing marketplace, look no further! We specialize in helping companies not only to keep pace but also to improve their bottom line through digital transformation.

Download our FREE DATASHEET!

Begin your journey toward data maturity.
and transform into a data-driven organization today!

Microservices

Microservices in Digital Banking – What are the Impacts?

Microservices in Digital Banking – What are the Impacts? 650 486 Exist Software Labs

Technology innovations shaped the world that we live in. It is now a necessity. This is also applicable in the Banking and Financial industry. With the new game-changers in this vertical, the competition became stiffer. Now that the competition rises, dynamic innovations and adapting digitization are now becoming the standard in the banking and financial industry.

Time to Market is very crucial as well as ensuring the stability and security of the application. To keep up with the demands of the market at the same time balancing the importance of these three factors, applications should now be built using Microservices.


MICROSERVICES

Microservices 01

Microservices are a modern approach to software whereby application code is delivered in small, manageable pieces, independent of others (Spring). Having said that, using microservices architecture, could help developers implement each component individually. They can execute innovations into one certain application without the involvement of other applications. It is not a large-based code that when something wrong happens, will affect the whole project.


WHY
MICROSERVICES?

WHY MICROSERVICES?

Since Microservices operate as a variety of applications that have a specific functionality under one system, microservices are easier to maintain, scale, a faster turnaround time in deployment and have a better resilience to technical faults.

WHAT ARE THE IMPACTS OF MICROSERVICES?

  • SCALABILITY 

Microservices Architecture develops single software systems which are running independently enabling the banking businesses to evolve as they scale without difficulty. When there are new offerings and features in their mobile banking application, they can still operate even if some parts are under development. By doing so, users can still use the mobile app and do other transactions.

  • AGILE SOFTWARE DEVELOPMENT

Projects are developed incrementally. New features can be broken down as small projects which can be done in parallel by different teams. Using DevOps, microservices are being optimized and can be deployed smoothly. This approach allows banks to introduce new innovations to the public faster. Moreover, banks can now update their mobile banking applications while operating transactions simultaneously. 

  • FLEXIBILITY OF USING DIFFERENT TECHNOLOGY STACKS

When it comes to integrating different technologies to use for multiple features in a digital bank, software developers can easily push frameworks, databases & etc,. In addition, new technologies can be employed in the application when there are major changes. Banks with specific requirements can be tailor-fit based on their needs.

At Exist, we want you to go where the possibilities are boundless. Since being superior in digital experiences are essential in staying relevant, we are empowering banks and financial institutions in digitalization to rapidly grow and make their business future-ready.

Exist Software Labs, Inc. is committed to extending our assistance to several banks with their Digital Onboarding requirements. We have been in the business for 20 years, and the mission is to enable corporations to go on digital and have a competitive advantage in this fast-changing world.

Be where your customers are!

Transform your bank into an omni-channel platform.

Exist Software Labs, Inc.’s Panel Discussion about Digital Banking enlightened PH’s Banking & Finance Companies the Importance of Digitalization

Exist Software Labs, Inc.’s Panel Discussion about Digital Banking enlightened PH’s Banking & Finance Companies the Importance of Digitalization

Exist Software Labs, Inc.’s Panel Discussion about Digital Banking enlightened PH’s Banking & Finance Companies the Importance of Digitalization 650 486 Exist Software Labs

Last June 16, 2022, Exist Software Labs, Inc. in partnership with YugabyteDB and DAON, held an online panel discussion entitled, “Fast Track: Digital Banking Trends in the Post-Pandemic Era”. The discussion talked mainly about the bank’s digitalization, digital security, & the preparedness of Philippine banking and financial industry technical infrastructure in scaling and technology flexibility to match the digital innovations.

Michael Lim, President & CEO of Exist welcomed the attendees of the discussion and provided them an overview of the objectives, the topics to be covered, and industry updates.

  • Post-Pandemic Digital Banking Innovations
    • What are the new innovations that the public can expect from Digital Banking?
    • A lot of consumers shifted from traditional to digital Banking but here in the Philippines, a big part of the population is still unbanked. How do you plan to reach the unbanked & underbanked?
  • Readiness of Philippine Financial Infrastructure
    • Are Philippine Banks’ infrastructures scalable and flexible enough to match their digital innovations?
  • Security in Digital Financial Platforms
    • During the pandemic era a rise in Digital Fraudsters, Hackers, and Phishing was observed, how does the BFSI sector address this concern?

Given that we have panelists that are industry leaders, participants of the event engaged to a great extent that made the discussion more interesting. 

BFSI Webinar Blog Size

Fast Track: Digital Banking Trends in the Post-Pandemic Era

Fast Track: Digital Banking Trends in the Post-Pandemic Era 650 486 Exist Software Labs

Staying updated in innovations and technology makes the financial institutions stay on top. Exist Software Labs, Inc. will be hosting an event about digital banking trends in the post-pandemic era that will surely help the banking & other financial institutions across our country in shaping a future-ready digitalization.

OBJECTIVES:

  1. Help the BFSI sector identify a clear roadmap for digital transformation.
  2. Give insights on the newest digital banking trends.
  3. Address infrastructure and security concerns in Online Financial Applications.

WHO SHOULD ATTEND?

This webinar is specifically designed for digital banking executives, decision makers, IT leaders, information security experts and business end users in the Banking and Financial Services sector in the Philippines.

This event will be held on June 16, 2022 at 2:00PM (PHT) via Airmeet Platform. We only have limited slots available so sign up as soon as possible. We also advise you to block your schedule on your calendar to make sure your attendance on the event.

PROGRAM:


2:00-2:05 – Welcome Remarks

2:05-2:25 – Post-Pandemic Digital Banking Innovations

  • What are the new innovations that the public can expect from Digital Banking?
  • A lot of consumers shifted from traditional to digital Banking but here in the Philippines, a big part of the population is still unbanked. How do you plan to reach the unbanked & underbanked?

2:25-2:35 – Q&A
2:35-2:55 – Readiness of Philippine Financial Infrastructure

  • Are Philippine Banks’ infrastructures scalable and flexible enough to match their digital innovations?

2:55-3:05 – Q&A
3:05-3:25 – Security in Digital Financial Platforms

  • During the pandemic era a rise in Digital Fraudsters, Hackers, and Phishing was observed, how does the BFSI sector address this concern?

3:25-3:35 – Q&A
3:35-3:40-  Closing Remarks
3:40-3:45 – End of Discussion

Two (2) Ways to Know that your Mobile Banking is Safe

Two (2) Ways to Know that your Mobile Banking is Safe

Two (2) Ways to Know that your Mobile Banking is Safe 650 486 Exist Software Labs

Today, mobile banking is part of our daily lives today but, is it safe and secure to handle our online transactions? Users like the convenience of mobile banking as it gives them benefits that they can also have in physical branches. To name a few, they can use their smartphones to check their account balance, transfer money, pay their bills, shop online, etc. 

However,  Several Philippine Banks were hacked last year. It created fear not only for the users but for the financial institutions as well. It became the focus of the media for quite some time. Luckily,  the perpetrators were arrested. Financial Institutions’ online security was strengthened and users became more vigilant. There are two ways to know if Mobile Banking is safe.

1. END-USER’S SECURITY FEATURE

These features are essential to the end-users when it comes to mobile banking. It will give them multiple options to secure their accounts while enjoying the convenience of online banking.

  • ONE TIME PASSWORDS (OTP)

One Time Password (OTP) is a secure code sent real-time to your mobile number when performing a transaction. For every transaction, it generates a different security code. 

  • BIOMETRICS AUTHENTICATION

Biometric authentication is a security method that depends on the unique biological characteristics of the user to verify the identity of the person. Biometric login gives extra security to the user because it’s impossible to hack, steal, copy or share. In comparison with OTPs, Biometrics are not number-based. 

  • CHANGING PASSWORDS REGULARLY

Protecting user’s bank accounts begins with changing passwords. As cybercrimes increase, password formats changed over the years like adding symbols & numbers (eg. Alphanumeric with special characters). Although some mobile apps require changing passwords frequently, we should change when:

  1. There’s a suspected unauthorized access
  2. The virus entered your device/s
  3. Logged in to other device/s

More than these three end-users’ security features, mobile banking users should also be aware of scammers who are using fake emails to hack their accounts. Users needs to be aware and cautious to avoid incidents like these from happening.  Moreover, we can say that mobile banking’s safety features assure us that our data, money, and  identity are secure

2. INTERNAL SECURITY FEATURES

These internal security features are part of the system when building a digital bank. Implementation of these security features is essential to provide high protection for the users against hackers, scammers, and identity fraudsters.

  • SECURE SOCKETS LAYER (SSL)

Secure Socket Layer or SSL is a security system implemented to a website or mobile application that integrates protection, privacy, and coherence. SSL encrypts the data transmitted across the web of a platform. In banking, SSL initiates an authentication process between two systems to make sure that both systems are legitimate.

SSL was created to protect user privacy by doing encryption that the user operates inside a platform. It ensures that the data inputted in the web or app will not be exposed and safe. Meaning, it is only visible and available to a platform the user operates.

  • ROBUST AUDITING MECHANISM

Aside from business process audits, a robust auditing mechanism is placed both in the system level transactions and system user activities to ensure data integrity and faster resolution of concerns. Multiple software frameworks and technical architecture are in place to ensure data traceability and immutability of audit logs.  Modern implementation also allows banks and financial institutions to take advantage of these  logs for real time monitoring and implement processes such as real time fraud detection. 

  • OWASP COMPLIANCE

OWASP (Open Web Application Security Project) compliance makes sure that web applications are not vulnerable to security breaches like phishing, malwares & hacking. Moreover, OWASP updated Top 10 security risks last year. The top 10 list provides guidance and education to developers, designers, architects and business leaders concerning web security risks to avoid.

There are more security systems integrated in a digital bank to protect our data, identity, and money. SSL, Robust Auditing Mechanism & OWASP are only three of the other security requirements. Banks & financial institutions that plan to upgrade their system and are transitioning to digitalization must be aware and knowledgeable on the requirements needed.

At Exist, we believe that superior digital experiences are essential in staying relevant. Our software expertise establishes and empowers banks to rapidly grow their business.

Exist Software Labs, Inc. is committed to extending our assistance to several banks with their Digital Onboarding requirements. We have been in the business for 20 years, and the mission to enable corporations to go on digital and have a competitive advantage in this fast-changing world is at our core. Go where the possibilities are boundless!

Two (2) Ways to Know that your Mobile Banking is Safe

Will Mobile Banking Ever Rule the World?

Will Mobile Banking Ever Rule the World? 650 486 Exist Software Labs

In today’s current trends, digital platforms are the most preferred and most used due to the convenience and faster process it offers with just a click of a button. As far as digital platforms are concerned, banks and financial institutions are also shifting their focus in capitalizing on adopting new technologies like mobile banking to modernize their systems into digitalization. In our era, having a mobile phone is essential since this is the primary gadget that people are using in contacting their friends.

But the story does not end there. When the pandemic started, businesses embraced the changes and opened their minds to digital transformation. From brick-and-mortar to e-commerce, restaurants to food deliveries, and physical banks to mobile banking. Why? Because it allows the users to perform their needs and get what they want in just a few clicks. 

Primarily, customer behavior is one of the significant factors why the majority of the Banking, Financial Services & Insurance (BFSI) industries are positioning themselves where their customers are present – the internet. Hence, financial institutions are creating digital roadmap and strategies to better understand the behavior of their customers as they create their digital platforms.

AVAILABILITY FOR EVERYONE (MOBILE BANKING)

Thinking about the advantages that mobile banking can offer to people, it’s about enrolling in a bank account online. In the 2019 Financial Inclusion survey, 51.2 Million Filipino adults are still unbanked. That is 71% of the total adult population! Having said that, with the long queues in the physical branches of the banks, it is very difficult to cater fifty million people to enroll them in a bank account. The good news is, fintech companies and digital-only banks are providing account onboarding in their mobile banking app for the people who want to open a bank account.

Moreover, Filipinos are now using digital wallets as part of their day-to-day transactions. This can also be observed by the banks that want to capitalize on digital banking. The point is, if financial institutions can be present where their customers are, there is no reason to be afraid.

DIGITAL ROADMAP

To strengthen their online banking, the banks’ goal is to create a highly personalized customer experience with their users. For that to happen, there should be a digital roadmap that can be presented in order to visualize the progress of their desired outcome in their banks. Digital transformation is not an overnight process, it comes with adopting new technologies that will emerge systems and integration with other institutions and third-party applications to have inter-connectivity.

Exist Software Labs, Inc. is committed to extending our assistance to several banks with their Digital Onboarding requirements. We have been in the business for 20 years, and the mission to enable corporations to go on digital and have a competitive advantage in this fast-changing world is at our core. Go where the possibilities are boundless!