Data-driven decisions perform significantly better according to a study led by the MIT Centre for Digital Business. One barrier to data-driven decision making is the shortage of experienced talent in analytics.
Data modelling and engineering is the role of data scientists or data analysts, business leaders and managers have a critical role to play at the beginning and at end of the process, framing the problems and analysing the results to provide the recommendations for sound decision making. These managers’ equally need to know and understand data science, combining it with their knowledge of the business and the business needs, to address challenges faced by the organisation.
When presented with analytics output, business decision makers commonly have the following questions and uncertainties. It is necessary for the end consumers of data analytics to know how to discern good analytics work from a poor one. This course is part of the Data Science and Digital Strategy & Leadership Series.
This course is also available in blended learning mode and part of the Digitalization Passport series, a curated pathway that enables you to develop essential digital capabilities in Data, Digital Agility and Digital Innovation.