Which of the following types of analytics focuses less on analysis and more on condensing data into mote meaningful pieces of information?

Descriptive analytics is the most fundamental type of analytics. Its primary function is to summarize historical data to provide a clear picture of what has happened. It involves processes like data aggregation and data mining to condense large datasets into simpler, more meaningful, and easily understandable formats, such as reports, dashboards, and key performance indicators (KPIs). This type focuses on presenting information rather than conducting deep analysis to uncover causes (diagnostic), forecast futures (predictive), or recommend actions (prescriptive).

A. Diagnostic analytics: This goes beyond summarization to perform deeper analysis, such as drill-downs and data discovery, to understand the root causes of past events.

C. Prescriptive analytics: This is the most advanced form, involving complex analysis and optimization algorithms to recommend specific actions to achieve a desired outcome.

D. Predictive analytics: This uses statistical models and machine learning for in-depth analysis of historical data to forecast future trends and probabilities.

1. The Institute of Internal Auditors (IIA)

Global Technology Audit Guide (GTAG) 16: Data Analysis Technologies

2nd Edition

2011. Section "Types of Data Analysis

" page 7

describes descriptive analytics as the simplest form

which answers "what happened?" by summarizing and presenting historical data. It contrasts this with diagnostic

predictive

and prescriptive analytics

which involve progressively more complex analysis.

2. Sivarajah

U.

Kamal

M. M.

Irani

Z.

& Weerakkody

V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research

70

263-286. In Section 4.2

"Big Data analytical methods

" the paper defines descriptive analytics as the initial stage that summarizes raw data into an intelligible format

focusing on past events without explaining the "why." (https://doi.org/10.1016/j.jbusres.2016.08.001)

3. Delen

D.

& Ram

S. (2018). Research challenges and opportunities in business analytics. Journal of Business Analytics

1(1)

2-12. The article outlines the analytics continuum

positioning descriptive analytics as the foundational step that "uses data to understand past and present" by creating summaries and reports

which is distinct from the more complex analytical tasks of the other types. (https://doi.org/10.1080/2573234X.2018.1434229)