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.
Why would anyone want or need to use predictive analytics? What good is forecasting anyway? Doesn’t it always end up being wrong? Well, no! That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Nearly every organization today is using analytics to improve productivity, competitive positioning, market presence, financial investment strategies, price point planning, risk mitigation and many other business factors.
When you launch an analytics solution within your enterprise, you are probably concerned about getting your business users to adopt that solution. If you can’t engage the business user and achieve user adoption, your return on investment (ROI) will be poor! But, it is important to understand that the right augmented analytics solution can provide the structure and foundation for business users without requiring them to have a sophisticated knowledge of algorithms and analytical techniques.
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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.
Your business users probably fight you on improving data literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to fulfill the vision of the business and its Citizen Data Scientist goals.
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eCommerce and online shopping businesses employ professionals in many roles including sales managers, marketing professionals, social media experts, product and service professionals and others. Together, every role in a business is designed to create a team that will ensure business success and, with eCommerce exploding, it is easy to think that the right people can get the job done.
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.
If you want your business users to have access to analytics tools that are easy enough for the average user to understand, you will want to select augmented analytics that are easy to use with guidance and recommendations to help the user achieve the results they want AND help the user understand those results once they finish the analysis.
