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Business Users Can Benefit from the Citizen Data Scientist Role
Business Users Can Benefit from the Citizen Data Scientist Role

August 24, 2023

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When business users hear that their enterprise is planning to implement a Citizen Data Scientist initiative, it often has a chilling effect. Team members may believe that this new initiative is bound to mean they will have more work to do, more responsibilities and less time to get the job done. Some business users will believe that adding analytics to their role will be complicated and difficult and will add tasks that they see as outside the boundaries of what they should be expected to do.

‘When an organization implements a Citizen Data Scientist initiative, it can provide numerous benefits to you as a Citizen Data Scientist candidate.’

 

When team members, managers, IT teams and senior executives consider the addition of analytics to the enterprise landscape, these discussions are likely to be in the forefront and there is no doubt the business will have to deal with the cultural questions and with questions of presumed responsibilities and roles if they are to succeed in a Citizen Data Scientist initiative.

 

When considering the value of this type of initiative, it is worth noting that Gartner sees ‘a positive relationship between the level of analytics BI adoption…and achieved business benefits.’ As technology consulting and research firms report the advantages and benefits of enterprise-wide analytics, businesses small and large are likely to add data democratization and analytics to strategies and operational goals.

 

As a team member, you will likely ask all the questions noted above, as well as a few of your own and, while change can be difficult for some, it is important to understand that the Citizen Data Scientist role can be quite beneficial to you as a business user, an employee, and a staff member.

 

Business User Benefits and Advantages of the Citizen Data Scientist Role

Productivity

Citizen Data Scientists can leverage Augmented Analytics solutions to gather data, integrated from disparate sources across the enterprise, and to analyze that data using sophisticated tools that are designed for ease-of-use and will accommodate users with average technical skills. The team member need not be an IT professional, a data scientist, or a business analyst. With these tools, the business user can quickly and easily analyze data without delay. There is no need to wait for IT or a data scientist to create a report. Team members can perform day-to-day tasks quickly and move on to the next task, incorporating analytics into assigned roles to become more productive and do more in less time with fewer resources.

 

Elimination of Re-Work and Missteps

Every team member in every business knows what it is like to try to get the right information at the right time so that they can make good decisions. Guesswork and opinion have no place in the enterprise decision-making process but they are often employed because a decision must be made now and the team does not have the time to wait for the right data. Using augmented analytics, Citizen Data Scientists can get to the root cause of a problem, spot a trend, see a pattern, understand the relationship among targets and variables and more. With this information, teams can make solid, fact-based decisions and avoid missteps and re-work.

 

Collaboration and Data Sharing

While business users may be accustomed to working alone and contributing data to a project or approval process, if the team can collaborate and share information as data is analyzed, they can shape the process, discuss the outcome, look for insight and clues and work together to develop a strategy or find an answer.

 

Career and Skills Growth

While some users may find analytics a daunting idea, the use of augmented analytics is easy for everyone and, in using these tools, team members will become comfortable with predictive analytics, data preparation and data visualization techniques. Adding these skills to a team member profile will improve their value to the organization and allow each business user to grow. Some team members will become power users, creating, and distributing data models and showing other business users new approaches, so the team itself will also evolve.

 

‘While change can be difficult for some, it is important to understand that the Citizen Data Scientist role can be quite beneficial to you as a business user, an employee, and a staff member.’

 

When an organization implements a Citizen Data Scientist initiative, it can provide advantages to the organization, to the business users and to data scientists, and it can provide numerous benefits to you as a Citizen Data Scientist candidate. 

 


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KartikPatel

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