In this, the first of an ongoing series of articles on the power of 'trust' in D&A, we explore some of the critical questions and challenges emerging around trust such as the customer view, trusted data science, policy and regulation and cyber security, among others. It is our intention to drive forward a dialogue that – we believe – will come to define D&A in the age of the analytical enterprise.
Complex analytics underpin many of the important decisions that affect us as individuals, as businesses and as societies. And now, significant questions are starting to emerge about the trust that we place in the data, the analytics and the controls that underwrite this new way of making decisions.
A new heightened focus on trust is emerging and – as consumers gain a clearer understanding of the value of trust – is quickly becoming a defining factor of Data and Analytics (D&A).
In this, the first of Trusted Analytics article series, we explore some of the critical questions and challenges emerging around trust to drive forward a dialogue that – we believe – will come to define D&A in the age of the analytical enterprise.
“The ‘black box’ is becoming bigger and blacker, the data that is going into the box is becoming more complex, and the decisions that are being made based on the box are becoming more impactful. Executives and consumers must be able to trust the black box.”
– Sander Klous, Professor of Big Data Ecosystems, University of Amsterdam, and KPMG Managing Director, Big Data Analytics, KPMG in the Netherlands.
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