In the era of big data, which of the following challenges are faced by enterprises? (Multiple choice)

Question

Options

• AThe data is scattered among the various departments of the enterprise, and the same data is
• BData structure diversification.
• CTechnological advances of competitors.
• DThere are problems such as noise, missing, and non-standard storage types in scattered data,

• A
  100% (61)

Explanation

All four options are valid challenges enterprises face in the big data era - there are no wrong distractors in this question, as it is an all-of-the-above scenario.

• A describes data silos and inconsistency: data is fragmented across departments, and the same entity (e.g., a customer) may be represented differently in each system, making unified analysis difficult.
• B describes data variety: enterprises must handle structured (databases), semi-structured (JSON, XML), and unstructured (text, images, video) data - a core dimension of the "3 Vs" of big data.
• C describes competitive pressure: rivals leveraging superior data technology can erode market position, making data capability a strategic concern, not just a technical one.
• D describes data quality issues: scattered data often contains noise (errors), missing values, and inconsistent formats, which undermine the reliability of any downstream analysis.

Memory tip: Think of the acronym SVQC - Silos, Variety, Competition, Quality - the four big data headaches. When a big data question lists enterprise challenges, expect answers to span technical, organizational, and strategic dimensions, not just infrastructure.

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