Having decades of successful experience in custom software development, we are sharing here our expertise, outlining industry and technology trends as well as benchmarking them.
On September 26th SCAND celebrated its 20th Anniversary! Twenty years in the software development business is a great milestone, that is what we’ve achieved for the past 20 years.
To stay competitive and expand, businesses have to keep up with the technological development pace and adopt the most reliable solutions. In this article, we’ve gathered the most promising technological advancements that businesses could consider to invest in for their successful development.
As the popularity of voice search grows, so does the importance of evolving your company’s marketing strategy. Check out the 10 popular yet easy ways to optimize your website for voice search.
Wondering if you’re losing clients because of low website loading speed? Learn the average page load time and how to increase website speed.
Choosing between spiral and incremental SDLC models? Check out the advantages and disadvantages of each model in this article and learn what projects they suit best.
With a dramatic upswing in technology growth, nearly all companies are in need of some IT support. Both outsourcing and insourcing have pros and cons. Learn which option is the best for your company.
In this blog post, we cover the differences between two popular development methodologies – Waterfall and RAD. Discover which of them is a better fit for your project.
Outsource or not to outsource isn’t a question anymore. We’ve got the most convincing arguments about why outsourcing is the most beneficial strategy for your business.
There are several approaches to software development and one of such approaches is test-driven development (TDD). It is gaining popularity because, in contrast to the traditional development approach, it allows creating clear and maintainable code and, as a result, helps to deliver high-quality products.
Artificial intelligence is rapidly gaining popularity across all business sectors, and software engineering is no exception. Machine learning models can be used to expedite the software development lifecycle and, what is more, they offer a completely new paradigm for inventing technology.