Making advanced analytics work for you.

By Dominic Barton, David Court. Harvard Business Review, 2012

502 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/22f305b0b6d0fb4ca4eb68c092b9cf6f387aa172

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Citations in the corpus

Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation (2021, unknown): “…decisions about evolutionary changes concerning the IT infrastructure in collaboration with Chief Information Officers, recruitment of skilled data analysts and data scientists, arrangement of temporary teaching task forces and development of leader role modelling programs (Barton & Court, 2012).”
How to improve firm performance using big data analytics capability and business strategy alignment (2016, background): “, 2011); and return on investment (ROA) (Barton and Court, 2012; Columbus, 2014a; McAfee and Brynjolfsson, 2012; Ramaswamy, 2013).”
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “This is often missing in existing Organisation as they gear towards taking a big leap to leverage AI, and thus sometimes, due to the lack of internal readiness, there is a productivity paradox that emerges due to lags in learning (Barton & Court, 2012).”
How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study (2015, unknown): “Barton and Court (2010) highlighted that the key challenge for using big data is to make big data trustworthy and understandable to all employees.”
Exploring the influence of big data on city transport operations: a Markovian approach (2017, background): “Barton and Court (2012) highlighted that the key OM challenge for smart city practitioners in using big data is to ensure that it is trustworthy and understandable for all their employees.”
Customer experience challenges: bringing together digital, physical and social realms (2018, background): “Hence, organizations will require superior data and business analytics (Barton and Court, 2012).”
How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management (2015, unknown): “Many organizations appear to still be in the stage of learning about the value of big data, the necessary information technology (IT) and analytical skills, the risks involved, and how to make a compelling business case for necessary substantial investments [5].”
Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management (2013, background): “Again, Barton and Court (2012) comment that a " pure data mining approach often leads to an endless search for what the data really say " (p. 81).”
Management challenges in creating value from business analytics (2017, background): “They cite Barton and Court (2012), Chen et al. (2012), Davenport and Patil (2012) and McAfee and Brynjolfsson (2012) as recent evidence of that importance and note Waller and Fawcett discuss the importance of DPB to their particular functional community of logistics and supply chain management…”