Accurat, our methods

At Accurat, over the course of the past years,  we have developed our thoughts and methods to work with data:

we embrace complexity

Complexity is a distinctive and inherent feature of our world; it should be embraced and not feared in an effort to simplify things that are naturally rich and multifaceted. Important business and strategic decisions take time and require a deep knowledge of the domain and of the elements at play in a specific context; our goal is always to support and facilitate better informed decisions, whatever it takes, and not to force a simplification in complex and articulate scenarios.
[ read more about our methods to address and layer complexity ]


we pursue beauty

Beauty is not a frill; we know how to capture and motivate people to always dig deeper and take time to explore the folds of a visual data analysis.
We deploy our rigorous methods to achieve the right balance between familiar visual motives and unexpected aesthetics, a powerful combination that leverages studies on perception to trigger curiosity, interest and to create indelible images in the minds of users.
[ read more about our approach to achieve beauty and functionality ]


we don’t rely on standards

Every dataset is different, and every context brings infinite variables that can hardly be reduced to cookie cutter processes and solutions.
We never bend design problems to what a tool can offer out of the box or to a ready-made solution; we take advantage of standard visual solutions to quickly explore and assess a dataset, but we firmly believe in applying core principles of data visualization into building custom solutions that are specifically designed for the task. 
[ explore how we design customized visuals, every time ]


we know that data is not just numbers

Numbers don’t mean anything by themselves, they are always a placeholder for something else: people, places, ideas, values.
We always take into consideration what data stands for and what it means for the people that will interact with it: we ask ourselves what numbers actually represent in a given context, and we build experiences that acknowledge and leverage this knowledge by bringing our users closer to the ideas represented by the quantitative and qualitative aspects of information.
[ take a look at how data driven experiences can be engaging and humane ]