Analytics Translators’ creative thinking is essential because it enables Business Leaders to focus on their roles with greater insight and knowledge to make strategic decisions to develop the company. To ensure this, Leaders need to remove knowledge sharing barriers, which should create additional informative insights leading to more successful decisions and actions.
Data is often complex and not necessarily insightful to Business Leaders. Data Scientists and Translators are therefore needed to generate and communicate insights, which free leaders to perform creative activities such as idea creation or problem-solving.
Through augmenting technology (machine learning) and associated roles (data scientists) with creative roles, organisations can consume and make sense of huge amounts of data and use it more effectively to drive advantage.
Data is complex and when it arrives into an organisation it is raw. Data Scientists give it meaning; however, it then also needs translating into a business context, which is the role Analysts perform. Analysts shed light on the black box by connecting it with the rest of the organisation and measuring the impact of outcomes generated.
Yes – if the data model doesn’t work then the decisions based upon it will also be wrong, potentially negatively impacting the business as a result. Data scientists need to accept and anticipate they might get the data model wrong and this is a crucial step in validating a successful model along with the desired outcome.