A Vision of Rapid, High-Quality Data Analysis for All Businesses
By dotData
Leveraging Data to be Competitive It is becoming increasingly important for enterprises to leverage data to be competitive. Yet, there are three challenges related to embracing data utilization that all businesses share: it takes time, advanced skills, and expertise. Together, these challenges make it difficult for enterprises to fully leverage their data for business growth. Data analytics is not simply prediction by machine learning. Rather, it is a process involving many different steps, including: data preparation, feature engineering, machine learning, visualization, and model operationalization. Until now, completing this process for just a single project would have taken months. Moreover, a wide variety of highly-skilled personnel are needed for each step – such as domain experts, data scientists, data engineers, and BI engineers. Additionally, processes and outcomes have tended to be highly dependent on the experience and intuition of each individual. Feature Engineering Made Easy For feature engineering in particular, it…