Transform Your Culture with Analytics Translators and Citizen Data Scientists!
As business becomes more competitive, as markets get tighter, there is a need to leverage and optimize your resources to the greatest extent possible. Using the knowledge and skill of each individual on your team and allowing these skills to inform business decisions and business analysis is key. As businesses democratize data and look for ways to improve collaboration and ensure that information makes it to everyone who needs it, a new business role has emerged.
This role is known as an ‘Analytics Translator’. By combining domain, organizational and industry skills with self-serve analytical tools, the Analytics Translator can help the enterprise to achieve low total cost of ownership (TCO) and rapid return on investment (ROI) for its Advanced Analytics initiatives and can encourage and nurture data democratization and optimal analytical business results within the organization. Analytics Translators bridge the gap between IT, data scientists and business users, and move initiatives forward by acting as a liaison and topic expert to help the organization focus on the right things to achieve its goals.
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.’ A Citizen Data Scientist is different from a true Data Scientist in one crucial way; namely, they do not have the skills or training to be an analyst or a programmer but, with the right tools, they are capable of generating reports, analyzing data and sharing data to make decisions. Citizen Data Scientists play a crucial role in day-to-day analysis and decision-making, using augmented analytics tools.
The importance of the Analytics Translator and the Citizen Data Scientist is undeniable to the average enterprise. Acting as liaisons between the business user population and IT, and enhancing and leveraging analytical skills combined with crucial core business knowledge, these roles and individuals can connect, translate and analyze issues, problems and opportunities and ensure that critical information is not lost or misunderstood, while minimizing the frustration and delay within the organization. By establishing and optimizing these resources, the organization can make the most out of its data and its team members.