Companies are in continuous motion: new requirements, new data streams, and new technologies are popping up every day. When designing new data platforms supporting the needs of your company, failing to perform a complete assessment of the options available can have disastrous effects on a company’s capability to innovate and make sure its data assets are usable and reusable in the long term.
Having a standard assessment methodology is an absolute must to avoid personal bias and properly evaluate the various solutions across all the needed axes. The SOFT Methodology provides a comprehensive guide of all the evaluation points to define robust and future-proof data solutions. However, the original blog doesn’t discuss a couple of important factors: why is applying a methodology like SOFT important? And, even more, what risks can we encounter if we’re not doing so? This blog aims to cover both aspects.