partner empowerment and relationship).
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BDA improves business processes, emotional connections, and evidence based on empathetic use of data.
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Integration of human emotion in data analytics in addition to process automation and optimization.
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Davenport (2012)
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BDA in e-commerce can significantly impact on product/service development (new features on online social site), marketing (ad-serving, pricing, trends on customer sentiments), and process improvement (price optimization time, service contracts, and
maintenance optimization).
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BDA focuses on discovering products, features, and value-adding services.
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Identifying the quality and skill sets required for people dealing with big data in order to deliver high performance analytics (HPA).
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Davenport et al. (2012)
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BDA in e-commerce aids marketing (e.g., customization, on-demand pricing), R&D (e.g., discovery of a new drug), and production and operations.
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BDA is used to seek continuously changing patterns, events, and opportunities to generate discovery and agility.
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Revealing the distinguishing facts between big data analytics and traditional analytics, and the ways
to capitalize on insights from big data.
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Dijcks (2012)
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BDA in e-commerce influences manufacturing (telemetry reveals usage patterns, failure rates, and other opportunities for product improvement), marketing (smartphones and other GPS devices offer advertisers proximity information, effective micro customer segmentation and targeted marketing campaigns), and supply chain (efficiency).
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BDA supports deeper analysis on a wider variety of data types, delivering faster response times driven by changes in behavior and automating decisions based on analytical models.
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The importance of and infrastructure required for business analytics in the big data environment.
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Ferguson (2012)
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BDA in e-commerce aids operational risk assessment involving finance (internal fraud, external fraud, damage to physical assets), marketing (customer/client intentions and behaviors, products and business practices), human resources (employment practices), and information technology
(system failure).
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BDA can be said to be the multidimensional behavioral analysis used to discover failure modes in advance of a disaster.
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Explains how analytics helps organizations better understand and mitigate everything from risky business practices to the big undetectable risks.
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(Kiron et al., 2012a, 2014a)
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BDA in e-commerce influences decisions about marketing (customer care, customer experience, pricing strategy, sales, customer service), finance (productivity, mergers and acquisitions), and operations.
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BDA refers to the application of data and business insights developed through applied analytical disciplines to drive fact-based planning, decisions, execution, management,
measurement, and learning.
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Explanations of the practical concerns that organizations are facing regarding the use of analytics.
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