What are the three key challenges identified by Gartner for data?

• A. Value, Visualization, Validity
• B. Volume, Velocity, Variety
• C. Versatility, Velocity, Volume
• D. Volume, Value, Variety

Answer: (B)

Gartner frames data challenges around three dimensions: volume, velocity, and variety. Volume means massive amounts of data generated from many sources, requiring scalable storage and processing capabilities. Velocity is about the speed at which data is created, moved, and analyzed, driving the need for fast data pipelines and real-time or near‑real‑time insights. Variety covers the different data types and formats—from structured data to unstructured text, images, logs, and sensor data—creating integration and quality challenges. Only this trio—volume, velocity, and variety—fits Gartner’s description. Other options mix in terms that aren’t part of this standard framing (for example, using versatility instead of variety, or value in place of velocity, or adding visualization/validity), so they don’t match the identified three challenges.