Traditional business users are being given the tools so they can analyze their companies’ data to glean valuable business insights and improve decision-making.
Much like an ordinary citizen able to perform the same function as a member of law enforcement, citizen data scientists are typical business users not data specialists. They could be accountants, marketers, customer service reps, IT managers, or even CFOs.
Organizations don’t hire them to be data scientists, rather they already work inside their organizations, filling roles outside of data science, says Dan Donovan, Lavastorm’s Vice President of Financial Services.
Through 2017, the number of citizen data scientists will grow five times faster than the number of traditional data scientists, according to Gartner.
The fact is, it’s no longer enough to deliver information via static reports, dashboards and visualizations. Business users want and expect to have the information they need, when they need it. They don’t want to wait around for IT or the data scientists to fill their requests before they proceed with further reporting and analysis.
Organizations that want to be competitive understand the importance of outfitting their business analysts with the tools to enable them to become citizen data scientists and do their jobs better.
These forward-thinking enterprises provide their business users with easy-to-use, data visualization and data preparation tools so they can quickly cleanse, enrich and combine data from a variety of sources.
Merely focusing the analytics process on a small group of highly technical data scientists won’t effectively accomplish the goal of data analysis.
“Getting more qualified people involved – especially those with intimate knowledge of the business and its customers – is becoming essential for mining the valuable nuggets of insight that lie within the data,” Donovan says.
The appropriate data preparation tools enable citizen data scientists to extract meaning from data to solve business problems or take advantage of opportunities.