KMS Solutions Blog

Vietnam’s Digital Banking, while still in its infancy, has shown enormous potential. Long gone are the days customers have to visit physical branch every time they have to do paperwork or draw cash. Especially during and after the peak of the Covid pandemic, Digital Banking has proven how convenient and helpful it can be. It is reported that 94% of Vietnamese banks are working on Digital Transformation, while 42% see Digital Transformation as number-one priority.

In this article, we will explore all the factors that prompt the development of Digital Banking in Vietnam.

To meet the increasingly diverse need for financial services, banking institutions are focusing on building new applications such as Mobile Banking, Personal Finance Application, Corporate Finance System. In accordance with that, they also apply Software Testing to ensure the quality of these technologies.

The idea of Automation Testing of course sounds exciting. What could be better than writing a script only one time, and then re-executing it for up to hundreds, even thousands, of times? 

With Automation Testing, your team can increase test coverage, find bugs earlier, and still be able to use manual testing where it truly delivers values. 

But most of the time, that’s just not enough to get everyone to buy into Test Automation. This is especially true for top management and the CFO who would ask for a convincing ROI analysis for such a major investment like Automation Testing.

Hochiminh City, February 18th, 2020, the technology company KMS Solutions issued a press release announcing the launch of its electronic Know-Your-Customer (eKYC) platform that is geared towards Southeast Asia's banking sector, further supplementing the company's Digital Banking Service portfolio as per its latest strategy.

Making the switch from Manual Testing to Automation Testing can be worthwhile. However, this modern method of software testing comes with several challenges. If you fail to resolve them, Automation Testing won't deliver the values it should.

In this article, let's identify the 5 most common challenges your QA team might face when they start to dip their toes into Automation Testing.

We all know that Manual Testing and Automation Testing are the 2 types of Software Testing. Both have the same purpose: to help testers run test cases; and then compare the test results with the requirement. 

But, while Manual Testing works fine for certain test cases, it is time- and cost-consuming in the long run. If you are applying modern software development methods such as Agile, chances are that you have lots of iterative development cycles. These methods require you to run a test multiple times. In this case, Manual Testing, with its repetitive and error-prone nature, is no longer suitable.

Test Automation can help you automate the execution of lots of tests and testing phases. In this article, we will discuss some of the most popular types of automation testing. It will be a checklist for you to choose the right automated tests for your next project.

To learn more about Test Automation, access our Digital Testing library.

Data visualization used to takes lots of time, labors, and costs. Back then, businesses relied on age-old BI tools to visualize data. The BI was so technically complex that, except IT people, no one could properly use it. So they had to hire more developers to run the tool.

All that for a single dashboard that often arrives too late for anyone to use.

This is why more businesses are turning to self-service data analytics tools; ones that not only can automate data visualization, but also offer robust analysis and data exploration.

The tools can work with diverse data sources, pull out only the most relevant datasets, and turn them into beautiful visuals. What's so great about self-service data tools is that they let non-IT users build and customize reporting dashboards on their own, often without any scripting skills or any helps from IT people.

The way businesses look at data today is very different from the past. Gone are the days when executives have to strain their eyes to read spreadsheets of columns of data.

Now you want to turn data into meaningful charts and graphs that anyone can understand at one glance. This process is widely known as data visualization.

This 5-minute read will give you a general overview of data visualization: what data visualization is, why it matters, and the different types of data visualizations.

Customers rarely stop and think about all the works that go into making the supply chain tick. It may very well be true that customers only care about the last mile—the final phase of the supply chain: After I hit "place order", how fast, how timely, and how much it costs for the parcel to reach my hand?

This article will address some big questions of last-mile delivery: what is it? How does it work in an eCommerce environment? What are the factors determining last-mile optimization? What challenges does it cause? And what technologies to adopt to improve last-mile capabilities.

Businesses are moving to the Cloud as their data proliferates beyond their handling. In fact, Cloud Data Migration soon will become mainstream.

In this article,  let’s discover what Cloud Data Migration is, the two methods of doing it, its advantages & disadvantages, and finally some considerations before moving your data to the Cloud.

Table of contents:

1. What is Cloud Data Migration?

2. Cloud Data Migration Methods

3. Benefits of Cloud Data Migration

4. Risks associated with Cloud Data Migration

5. Key Considerations for Cloud Data Migration