to make it more difficult for non technical people to justify choosing a

To make it more difficult for non technical people to

This preview shows page 415 - 417 out of 421 pages.

to make it more difficult for non-technical people to justify choosing a certain course of action over another course of action (e.g., spending more capital expenditures on product Z over product P). 3) Data are subject to useless information (commonly known as noise). A single incorrect or useless variable can corrupt the results and require additional labor hours to work with the data in order to attain meaningful results. 4) User-level data results require interpretation prior to use. Generally, collected data are converted from text format to data visualizations. Data visualizations assist with identifying trends and correlations that run the risk of going undetected in text-based data. 17. Data Visualization a. Data visualization refers to any effort to help readers or other users understand the significance of data by placing it in a visual context, such as a graph or chart. Trends, correlations, or other arrangements that might often be overlooked in text-based data can be illustrated and thus recognized more easily with data visualization software. Visualizations are for the benefit of decision makers; the computers themselves do not use or need visualizations for decision making. b. Data visualization tools may provide interactive capabilities that allow users to manipulate data or drill into the data for what-if-type analysis. 1) Visualizations facilitate visual comparisons between data elements, which helps decision makers identify patterns, deviations from patterns, and outliers in the analysis stage. This is accomplished in an efficient manner. 2) Visualizations are usually understood by a wider audience because they reduce the message to its core components and use minimal jargon. 3) Visualization options include histograms, boxplots, scatter plots, dot plots, tables, dashboards, bar charts, pie charts, line charts, and bubble charts. Additionally, adding colors and shapes assists with more effectively communicating results by decreasing the burden of decision makers interpreting vast amounts of information and instead concentrating on the more vital information. a) Business intelligence tools include the capability of grouping the various visualization options onto a digital dashboard . The dashboard allows the user to pre-select the chart types he or she will use for assistance with decision making.
Image of page 415
SU 16: Systems Development and Data Analytics 25 Copyright © 2019 Gleim Publications, Inc. All rights reserved. Duplication prohibited. Reward for information exposing violators. Contact [email protected] . 18. Statistical Control Charts a. Statistical control charts are graphic aids for monitoring the status of any process subject to acceptable or unacceptable variations during repeated operations. 1) They also have applications of direct interest to auditors and accountants, for example, (a) unit cost of production, (b) direct labor hours used, (c) ratio of actual expenses to budgeted expenses, (d) number of calls by sales personnel, or (e) total accounts receivable.
Image of page 416
Image of page 417

You've reached the end of your free preview.

Want to read all 421 pages?

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture