"The process of looking at homogeneous data over a duration of time to find recurring and predictable behavior." (Sharon Allen & Evan Terry, "Beginning Relational Data Modeling" 2nd Ed., 2005)
"the process of looking at homogeneous data over a spectrum of time." (William H Inmon, "Building the Data Warehouse", 2005)
"An analytical technique that uses mathematical models to forecast future outcomes based on historical results. It is a method of determining the variance from a baseline of a budget, cost, schedule, or scope parameter by using prior progress reporting periods' data and projecting how much that parameter's variance from baseline might be at some future point in the project if no changes are made in executing the project." (Cynthia Stackpole, "PMP® Certification All-in-One For Dummies®", 2011)
[trending] "A process by which underlying trends are identified within time-related data. These trends may be manually, algorithmically, or statistically identified and may be extrapolated into the future to aid planning." (Evan Stubbs, "Delivering Business Analytics: Practical Guidelines for Best Practice", 2013)
"A form of statistical analysis used to analyze activities over a period of time." (Sally-Anne Pitt, "Internal Audit Quality", 2014)
"Using tools and statistics to identify consistent movement in one direction or another. The analysis might show a consistent upward trend or a consistent downward trend, but either way it indicates a change worth investigating." (Darril Gibson, "Effective Help Desk Specialist Skills", 2014)
"A data analysis technique that examines project performance over time to determine if performance is improving or deteriorating." (Cate McCoy & James L Haner, "CAPM Certified Associate in Project Management Practice Exams", 2018)
"An analytical technique that uses mathematical models to forecast future outcomes based on historical results." (Project Management Institute, "The Standard for Organizational Project Management (OPM)", 2018)
"analysis of data to identify time-related patters" (ITIL)
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