Trying to make sense of advanced statistical analysis without proper understanding of the data is not a good idea. Data science and statistics are error-prone when data exploration is ignored.
Skipping the data exploration phase involves performing statistical analysis by trial and error, without the formulation of hypotheses and pursuing an arbitrary selection of statistical tools and techniques, leading to inefficiency and error.
Taking action to avoid the situation is now possible. Eagle Genomics supports the data exploration journey, helping teams to fathom complex and meshed data with the right visualization and analytics tools.
Eagle Genomics’ innovative approach in establishing a platform-driven ecosystem for the generation and exchange of scientific data-derived assets is of great potential value to Unilever.
Healthy animals, healthy people and a healthy planet are all interconnected. With the advanced knowledge and insights we anticipate generating from our microbiome data, the e[datascientist] will allow us to bring more relevant products to market.
As a company driven by innovation, Reckitt collaborates with partners who bring powerful new capabilities to the table so we can deliver disruptive ideas to the market.
