23. | Visible | Not only pertinent information should exist, but also should be evident to the intended person at the proper time [1] [13] . |
24. | Visual | We currently live in a world of seeing, watching, and exchanging photos and videos, whether they are personal or product pictures or weather photos through the Internet [1] [7] [13] . |
25. | Vitality | Vitality of the data is an important perception that is vital and is included in the concept of value [1] [7] [13] . |
26. | Vincularity | It implies in its exact meaning connectivity or linkage. This idea is very pertinent in today’s interconnected world through the internet [1] [7] [14] . |
27. | Verification | The process of initiate the fact, precision, or validity of data [1] [7] [12] . |
28. | Valor | The specific data that has the possibility to produce value and guiding how this can be accomplished [1] [7] [15] . |
29. | Verbosity | Understanding how to quickly separate the meaning you keep about from its repetition is important for efficiency of processing [1] [7] [13] . |
30. | Versatility | Versatility of data shows to what extent the data is useful, in different scenarios [1] [7] [13] . |
31. | Veritable | Data being in fact the thing named and not false, unreal, or imaginary [1] . |
32. | Violable | Violable data capable of being or likely to be violated [1] . |
33. | Varnish | Interaction of end-users with our work matters, and polish counts [1] . |
34. | Vogue | Artificial intelligence are become? [1] [16] . |
35. | Vault | Importance of data security [1] [16] . |
36. | Voodoo | Deliver results with real-world impact [1] [16] . |
37. | Veil | Examine latent variables from behind the curtain [1] [16] . |
38. | Vulpine | Data leads to a new technology [1] [16] . |
39. | Verdict | People affected by model’s decision [1] [16] . |
40. | Vet | Vetting the assumptions with evidence [1] [16] . |
41. | Vane | Unclear direction of decision-making [1] [16] . |
42. | Vanilla | Simple methods if tackled with care can provide value [1] [16] . |
43. | Victual | Big Data fuel of data science [1] [16] . |
44. | Vantage | Privileged view of complex systems [1] [16] . |
45. | Varmint | As data gets bigger, so do software bugs [1] [16] . |
46. | Vivify | Ability of data science to cope with every real-life aspect [1] [16] . |
47. | Vastness | Bigness of Big Data [1] [16] . |
48. | Voice | Ability to speak with knowledge [1] [16] . |
49. | Vaticination | Ability to forecast [1] [16] . |
50. | Veer | Change direction according to customer need [1] [16] . |
51. | Voyage | Increasing knowledge [1] [16] . |
52. | Varifocal | It is about trees and forest [1] [16] . |
53. | Version control | You are using it right? [1] [16] . |
54. | Vexed | Potential of data science to handle complicated problems [1] [16] . |
55. | Vibrant | Provision of insight by data science [1] [16] . |
56. | Vogue | Artificial intelligence will become? [1] [16] . |