100 Words Every Operations Analyst Should Know

100 Words Every Operations Analyst Should Know

No. Item Definition
1. accuracy closeness to correct value
2. allocation assignment of resources
3. anomaly unexpected data pattern
4. assumption accepted premise for analysis
5. audit formal review of records
6. availability readiness for use
7. backlog accumulated unfinished work
8. bandwidth available capacity or time
9. baseline starting reference point
10. benchmark standard for comparison
11. billing charging customers for services
12. bottleneck point limiting overall flow
13. budget planned spending limit
14. capacity maximum output possible
15. capex capital spending on assets
16. compliance meeting rules or standards
17. constraint factor that restricts performance
18. control measure to manage risk
19. correlation relationship between variables
20. cost amount spent
21. cycle time time to complete one cycle
22. dashboard visual summary of key data
23. dataset collection of related data
24. defect fault or imperfection
25. demand amount requested by customers
26. distribution delivery across locations
27. downtime time when operations stop
28. efficiency output relative to input
29. error rate frequency of errors
30. escalation raising an issue upward
31. ETL extract, transform, load process
32. exception case outside normal process
33. expense money spent on operations
34. field single data attribute
35. forecast prediction based on data
36. FTE full-time equivalent worker
37. fulfillment completing customer orders
38. governance oversight and control framework
39. granularity level of data detail
40. handoff transfer between teams
41. headcount number of staff
42. implementation putting a plan into action
43. incident unplanned disruptive event
44. integration combining systems or data
45. inventory stored goods or materials
46. invoice bill for payment
47. KPI key performance indicator
48. latency delay before response begins
49. lead time time from start to finish
50. logistics movement and storage management
51. margin difference between sales and cost
52. mean average value
53. median middle value in data
54. metric a measurable performance value
55. migration moving data or systems
56. mitigation action reducing harm
57. model simplified representation for analysis
58. normalization standardizing data structure
59. opex ongoing operating expenses
60. optimization making best possible use
61. outage period of service unavailability
62. outlier value far from others
63. owner person responsible for something
64. percentile relative standing in data
65. policy official guiding rule
66. procedure approved way to perform
67. process series of operational activities
68. procurement acquiring goods or services
69. productivity rate of useful output
70. quality degree of excellence
71. query request for data
72. queue waiting line of tasks
73. RCA root cause analysis
74. reliability consistency of performance
75. reorder point level triggering replenishment
76. resilience ability to recover quickly
77. revenue income from business activity
78. risk possibility of loss
79. ROI return on investment
80. root cause underlying reason for a problem
81. sample subset used for study
82. scenario possible future situation
83. scheduling planning times and resources
84. sensitivity response to changing inputs
85. simulation test using a model
86. SLA service level agreement
87. stockout running out of inventory
88. supply amount available to provide
89. throughput amount processed over time
90. ticket tracked service request
91. trade-off balance between competing goals
92. trend general direction over time
93. uptime time when systems run
94. utilization extent resources are used
95. validation checking correctness or quality
96. value stream steps delivering customer value
97. variance difference from expected result
98. vendor external supplier
99. workflow sequence of work steps
100. workload amount of assigned work