Latest Articles
As much as MVPs are a much more economic way of getting customer feedback early or ‘failing early’, we all know development is still not cheap, so you want to make sure your investment is truly worth it. So what are some ways you can make sure your MVP idea is worth the investment? We suggest 4 steps you should take before you get anything built.
Data Studio is Google’s business intelligence and visualisation platform that anyone can use for free to use, customisable dashboards. We discuss how to integrate BigQuery with Data Studio to build free, custom and interactive dashboards to better visualise and analyse your business data.
Our easy to follow step-by-step guide (including screenshots) explains how to move a Google Cloud Platform project from a source organisation to a destination organisation all the way from granting permissions, setting up organisation policies, transferring billing to performing the migration itself. Think of this as a ‘Google Cloud Migration for Dummies’.
Ash Fontana’s recently released book ‘The AI-First Company’ advocates for the development of companies make short-term trade-offs to build AI in order to gain a long-term advantage over their competitors. So, lean start-up vs. lean AI- what’s the difference? In our blog post, we compare the goals and processes of lean AI and MVP development.
A minimum viable product (MVP) in software development, is a bare bones basic deployable version of your product or service. It consists of minimal essential features that define your value proposition and is created with the purpose of attracting early adopters, enabling shorter time to market and early assessment of product-market fit. We go through 6 steps to developing an MVP and some helpful questions to ask throughout the process.
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