Business decision-makers have access to vast amounts of information that aren’t necessarily in a form conducive to deep analysis. The challenges could be related to structure (or lack thereof), granularity, or quality, among others. Simply put, they want to quickly set up an environment to interrogate their data, to determine whether it has enough value to justify a more robust initiative. A concern many have is that they’ll spend too much time on data preparation activities which would offset productivity.
Some organizations have gone to great lengths to build out the infrastructure for data science. Snowflake allows simple provisioning, elastic scalability, and integration with familiar tools. This shortens the setup time and reduces the effort to take a project from concept to design to delivery.
Agility is a shift away from the status quo. To remain competitive, people acquire and analyze data in the same dynamic manner as they make decisions. Businesses need to be agile to uncover and understand new market opportunities. Working outside the constraints of the data warehouse environment does require analysts to develop skills and processes to ensure their conclusions are based on solid design principles and best practices. Smartbridge can help with planning and technical guidance.