Domain 1: Research Flashcards
Advanced Analytics
Tools that use statistical analysis and predictive modeling to forecast future events.
Audit
The practice of assessing your current position - where your firm stands right now in the terms of finances, visibility within a market sector, your competition, and a variety of other measures. A SWOT analysis is often used as an assessment tool.
Average
The sum of a set of numbers divided by the amount of numbers in that set. One way of expressing the typical value in a set of data.
Benchmarking
A measurement activity that compares one aspect of a thing to that same aspect in a different thing.
Benchmarking Surveys
Benchmarking surveys create a basis for comparison. Most often used to compare one AEC company to peer firms, they can be used to determine best practices or key trends within a specific design typology.
Bias
A prejudice shown toward or against something based on subjective perceptions of experiences or opinions.
Big Data
A collection of data sets so large and complex that it becomes difficult to process using typical database management tools or traditional data processing applications.
Causation
A predictive relationship between two variables where one causes the other
Client Relationship Management (CRM)
A strategic framework for information management.
Client Satisfaction Surveys
Used to gauge client’s feelings about a firm’s capabilities, staff, level of service, and success at meeting clients’ expectations. Often includes elements of perception and market intelligence surveys.
Closed-ended Questions
A form of question that limits possible answers by providing a list of answers that the respondent must choose from.
Coding
The process of combining the data into meaningful categories and then marking the categories with a code label so they can be easily compared and analyzed.
Comparison Charts
Used to compare relationships between distinct points of data and to demonstrate patterns. They are typically vertically oriented.
Confidence Interval
A statistics term that defines a range of values within which the population parameter of interest is likely to be included.
Confirmatory Research
The purpose of confirmatory research is to narrow down a list of options and figure out which one is right. It uses hard data to quantify qualities identified in exploratory research.
Contribution Charts
Contribution charts demonstrate part-to-whole analysis.
Correlation
A statistical relationship between two variables.
Cross Tabulation
When the data is tabulated according to multiple characteristics.
Data Mining
A technique that allows a company to sift through vast amounts of information and find statistical patterns amid data sets. It is a way to analyze big data quickly and thoroughly to isolate valuable information.
Data System
The data system is part of the DSS and includes all of the hardware and software required by a company to coordinate and store the various types of data created and gathered by the company’s own assets, as well as the data coming in from other external sources such as commercial demographic and economic databases.
Data Triangulation
Data triangulation is when a piece of data, a finding, or generalization is able to be verified through several different research methods.
Decision Problem
The basic question to which this research is intended to provide an answer.
Decision Support System (DSS)
A DSS consists of software that enables managers to access the information in a company’s database dynamically, to produce customized reports on an as-needed basis to assist in decision making. It combines the company’s data systems and commercial databases, specialized modeling software, and a graphical user interface (typically in the form of a dashboard for usability and system interactivity).
Disruptive Innovation
An innovation that helps to create a new market or value network, which eventually - and sometime rapidly - upsets and existing market or product/service line.
Distribution Charts
Distribution charts are used to provide perspective on data - all of the data points are displayed across a set scale so it is easier to see whether the data is skewed and if so how.
Double Tabulation
when data is tabulated according to two characteristics at a time.