Citizen Data Scientists CAN Get Help!

If You Are A Newly Minted Citizen Data Scientist, You Don’t Have To Do It Alone!

As a newly minted Citizen Data Scientist, you may feel overwhelmed and uncertain how to proceed. As with any other transition and new responsibility, the first order of business is to understand what is expected of you and what the boundaries and obligations of your new responsibilities will dictate. It is also important to learn how to use any new tools that may be important to your new role.

With Support, Citizen Data Scientists Can Be Successful!

Create an Environment that is Suitable for Citizen Data Scientists!

When a business user takes on the new role of Citizen Data Scientist, it is often with misgivings and concerns. If their business and management team have not adequately explained the expectations of this new role, or made the workflow and cultural changes required to ensure that this new role is successful, the business user and team member is likely to fail, and the Citizen Data Scientist initiative is likely to fail.

Embrace The Citizen Data Scientist Workflow!

The Journey To Citizen Data Scientist Must Include New Workflow And Processes!

Gartner has rightfully predicted the rise of Citizen Data Scientists. Coming from the ranks of business users, Citizen Data Scientists continue to function in their primary roles and fulfill their responsibilities as they take on the tasks of aligning with Digital Transformation initiatives and improving data literacy. Their new role does require that they embrace some new concepts and become comfortable with analytics and with making decisions using augmented analytical tools.

Citizen Data Scientists Need Support to Succeed!

You Can’t Wave a Wand and Change a Business User into a Citizen Data Scientist!

Most business executives and managers have, by now, read the Gartner predictions wherein the average business user will be (or already has been) nominated to become a Citizen Data Scientist. Gartner defines a Citizen Data Scientist as “a person who creates or generates models that leverage Predictive or Prescriptive Analytics but whose primary job function is outside of the field of statistics and analytics.” It is true that a Citizen Data Scientist is NOT a Data Scientist, but some businesses incorrectly expect the same results and anticipate being able to reduce the need for business analysts or data scientists as these new roles are assumed.

Managers Should Evaluate Citizen Data Scientists Differently!

How to Evaluate Business Users in Their New Role as Citizen Data Scientist!

When a business initiates a Citizen Data Scientist movement within its ranks, it is important to recognize the other changes that will be required in order to reinforce the value of the program by reviewing and modifying team member evaluation and merit programs to reward Citizen Data Scientists for their collaboration, use of data-driven information in decisions and recommendations and work with Data Scientists, IT and others involved in the new initiative.

Citizen Data Scientists: You are a Role Model!

How a Citizen Data Scientist Can Help Others Adjust to the New Reality!

When a business user is given the mantle of Citizen Data Scientist, they being a journey that can help to advance their career, provide leadership experience and improve visibility across the organization. But, in order to embrace this new part of their position, they must understand a number of things.

Do Citizen Data Scientists Need Special Analytics Tools?

Data Scientists Focus on Strategy, Citizen Data Scientists Deliver Daily!

When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users. If a business wants to implement a Citizen Data Scientist initiative and encourage their business users to become more productive and valuable within the business environment, that business must provide tools that are easy enough for the average business user and will allow them to easily adopt these tools to make day-to-day decisions.

Advanced Analytics for Business Users = Augmented Analytics!

Augmented Analytics is Designed for Business Users So Analytics is Easy for All!

When a business decides to undertake a data democratization and data literacy initiative, it is important to recognize that not all advanced analytics solutions are created equal. Business users who are expected to take on the task of analytics, will need an augmented analytics solution that can support their needs. They aren’t data scientists. They aren’t business analysts. They are business professionals who will want to use an analytics solution that can give them sophisticated output and information. It has to be easy enough to use without the need for assistance by IT or data scientists and it has to be a solution that can be personalized to produce reports and analytics that are easy for each user to leverage to make decisions, solve problems and identify opportunities.

What Are Citizen Data Scientists and Can They Improve the Quality of Business Intelligence?

What Are Citizen Data Scientists?

Citizen Data Scientists represent a new breed of business analysts – a group of individuals with diverse business responsibilities and training, who wield sophisticated analytical tools, and employ complex methods of analysis to improve business results – all without the training or assistance of data scientists or IT team members. Citizen Data Scientists are business users who leverage the knowledge and skill they have developed through professional training and business roles to navigate business intelligence and advanced analytical tools to answer business questions, identify trends and patterns and develop new competitive strategies to support business decisions.

Be Sure You Support Your Citizen Data Scientists!

Getting Started on the Citizen Data Scientist Path!

If you follow technology publications and predictions, you know that Citizen Data Scientists are the big news for business. By transforming business users into Citizen Data Scientists, the business can leverage the professional skills and knowledge of an individual team member and combine that knowledge with data analytics to get the best answers, forecast and predict, solve problems and identify business opportunities.