When you take the Citizen Data Scientist diaper, you have to deal with a lot! A big reason why business users feel overwhelmed by the idea of a Citizen Data Scientist role is the anticipation of having to learn new tools and techniques to analyze data.
“I’m not a data scientist,” “I don’t understand analytics,” “This new role takes up all my time,” “My manager doesn’t care about these things” – these are just a few of the arguments you hear when you bring out the Citizen Data Scientists concept, better know-how, and democratization. But in the real world, the introduction of the Citizen Data Scientist initiative should not be intimidating or overwhelming.
Citizen Data Scientist evolution has many benefits. Here are just a few:
- The company bases its decisions on facts
- It is easier to understand and deal with things and opportunities
- Business users can add value to their business
- Business users can add their skills to their resume and advance in their careers
- Companies can improve their competitive position
- Companies are more agile and agile and ready to respond to the market
All of these benefits depend on the organization’s willingness to change its culture and support the Citizen Data Scientists program during their new role. One of the most important aspects of this change requires the establishment of an established extended analysis solution and the provision of easy, intuitive methods for obtaining and performing analytics without the skills of a data scientist or business analyst.
With enhanced self-service augmented analytics, Citizen Data Scientists can leverage automated recommendations, suggestions, and guidelines to select the right algorithm or analytical technique and visualization techniques to get clear results suitable for presentation and reporting.