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Minding the Machines
Building and Leading Data Science and Analytics Teams
Jeremy Adamson
Foreword
Data. There was a time when this word made reference to a Star Trek character or something professionals in the IT department who worked on databases would manage. Today data, data science, data engineering, data analysts, or any term including the use of data is pervasive across business, industries, and society. The use of the term data has practically become everyday vernacular in business; it seems to be the holy grail solution to everything. However, most organizations are still in the very early stages of their journey.
Many of the world's leading organizations can attribute their success to the fact that the practice of data science is increasingly becoming a strategic function. Analytics and data science enable consumer experiences that have become indispensable in our daily lives and deliver highly personalized recommendations and content, and this is now the expectation for almost everything else in our lives. The expectation of the customer has become immediate, personalized services that predict what it is they may want before they may even know it themselves. Data is what powers these great product experiences. Data science is no longer simply a technology function buried within IT or reserved purely for the tech giants in Silicon Valley. Data science and analytics will become increasingly indispensable in health care as it will improve diagnostic accuracy and efficiency. In finance, it will aid in the detection of anomalies and fraud. In manufacturing, it will aid in fault prediction and preventative maintenance. Whether you work in corporate strategy, research & insights, product development, human resources, marketing, technology, or finance, you will no longer be able to effectively compete without leveraging the talent and capabilities of the data science teams.
The need for knowledge in Data Science & Analytics, Algorithms & Artificial Intelligence is becoming evident in the sheer volume of online courses, degrees, and certifications available on EDx, Coursera, Udacity, and other online education providers. Top-ranked universities across Canada have introduced graduate degrees in data science and analytics. Two of the most prestigious universities in the world, the University of California, Berkeley,
