Big data requires a change in the thinking mode of traditional industries. Data collection and analysis should be regarded as an important part of business processes. Data-driven business processes should be optimized to achieve intelligence and self-childhood, and rely on data assets to achieve cross-border expansion.

The statement accurately describes the fundamental paradigm shift that big data introduces to traditional industries. Adopting a big data strategy requires moving from intuition-based decisions to a data-driven culture, where data collection and analysis are integral to all business processes. This integration facilitates the optimization of operations through intelligence and automation (the term "self-childhood" is likely a mistranslation of concepts like self-optimization or automation). By treating data as a core strategic asset, companies can uncover new insights, enhance efficiency, and identify opportunities for growth and expansion into new markets, which is a central tenet of digital transformation.

B. False: This option is incorrect because the statement correctly summarizes the core principles of big data's transformative impact on business strategy, process optimization, and value creation.

1. Huawei HCIA-Big Data V2.0 Training Material. Chapter 1, "Overview of Big Data." This chapter details how big data is a key driver for enterprise digital transformation, emphasizing that data has become a core asset and production factor that reshapes business processes and decision-making models to achieve intelligent operations.

2. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165–1188. Section 3, "Big Data and Its Business Impacts," discusses how big data enables organizations to transform processes and business models by embedding intelligence into their operations, supporting the statement's core claims. (https://doi.org/10.2307/41703503)

3. McAfee, A., & Brynjolfsson, E. (2012). Big Data: The Management Revolution. Harvard Business Review, 90(10), 60-68. This article corroborates the statement by arguing that companies that adopt data-driven decision-making show higher productivity and that the shift requires a change in culture, processes, and management thinking.