Systems | Development | Analytics | API | Testing

Read any overview of how the finance and accounting function is changing, and you will notice several common themes. Three of the most important of these are: cloud migration, data standardization, and interoperability. The aim of technology in finance is to remove friction. With cloud migration that means making upgrades, licensing, procurement and maintenance simpler with software-as-a-service (SaaS) models.

Despite the challenges of the past two years, I’ve been speaking regularly on AI and the future of the human-machine relationship. Often I’ve done it thanks only to some of those machines, using remote tech that was previously seen as a gimmick, a convenience, or an annoyance. When pushed by a crisis, it’s remarkable what we can accomplish.

ETL is an acronym for Extract, Transform and Load. It refers to a process of extracting data from one system and transforming it so that it can be loaded into another system. It is the process that lets businesses amass large amounts of data in data warehouses that they can use for business operations. Reverse ETL is a term used when the data is pushed from the warehouse to the CRM. This process seems simple, but there are many pitfalls that can come up during this phase.

An application programming interface (API) value chain connects you to your customers through a series of partners. Unlike browser-based web apps where your customers buy goods or services directly from your website. APIs are a vital component of your digital business strategy. They help you analyze data and enable a multi-cloud strategy that can dramatically accelerate your time-to-market. Once you know how to create API value chains, you can implement them right away.

Quality Assurance (QA) is a typical process for ensuring that the end product of any Software Development Lifecycle (SDLC) corresponds to the overall and scope-agreed-upon objectives. Historically, quality assurance (QA) testing has been introduced rather late in the software development cycle. In a Waterfall process, for example, the software is created and then sent along to the QA team, which provides input and then sends the program back to the development team to be fixed.

Will your software perform well during peak hours? Can it handle the load during sales periods? Is your infrastructure valid if you double your sales by the end of the year? These are just some of the questions that scalability testing can help you answer. Scalability testing evaluates the activity level of your application by upscaling and downscaling the number of users.

A leading company in the healthcare industry has been providing value and care to its clients worldwide for over 20 years. With more than 5,000 employees, this healthcare provider focuses on developing, manufacturing, and distributing continuous glucose monitoring systems for diabetes management.

This blog post is a summary of my talk at the iOS Singapore Conference 2022 about scaling up iOS automated tests using fastlane and other tools.

Want to write better executive director reports? This guide covers the important aspects of board reporting that will make your life easier.

From the modern application platform perspective, products should allow architects and DevOps teams to support dynamic topologies. That means a multi-platform capability is required but not sufficient. In fact, for several reasons, companies are looking for hybrid deployments to run their applications on several platforms simultaneously. Moreover, the topology should support and adjust for new and continuous architecture changes.