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Deliverable 6 - Data Grain

Rasmussen College

CTS3265CCBE: Introduction to Business Intelligence

Melissa Montrope

March 13, 2021

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Deliverable 6 – Data Grain

For any business today, the ultimate goal would make sense of the data collected.

Businesses collect data from their customers; to predict market trends and identify areas in the

company that need improvement. Companies will do this to keep up with the market trend and

stay operational against competitors. Even though this is the case, the data collected's

representation influences a lot the relevance and meaning drawn from such data. Sometimes the

amount of data grain does not guarantee that such data would be helpful and relevant. Like any

other business that operates online, selling tickets to tourists on an e-commerce platform requires

customers' data to utilize data collected. In the quest to make sense of and interpret the collected

data by a company, various concepts must be well understood. Such concepts are provided by

the DIKW pyramid, which entails; Data, Information, Knowledge, and Wisdom. These concepts

are often used as interchanger; however, they have different meanings. This paper will discuss

concepts provided by the DIKW triangle, how those concepts are applied to the ticket sales, the

decision-making process—suggestions regarding data granularity, and how data from ticket sales

may be presented better.

Concepts Contained Within the DIKW Triangle "Data, Information, Knowledge, and

Wisdom" are the four concepts that make up the DIKW triangle. The lowest triangle layer is the

data layer: data that is often discrete units that are, in most cases, meaningless to the user. Data is

usually collected in mass amounts and therefore includes contents and details that can be useful

and not useful. However, data can be transformed into usable results if it goes through the DIKW

triangle levels; thus, it would be possible to draw conclusions from the data and answer any

existing questions. The second layer is "Information": this is where data is given meaning after

relational connections are attached to such data. In the triangle, information is allotted a narrower

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1 Deliverable 6 - Data Grain Rasmussen College CTS3265CCBE: Introduction to Business Intelligence Melissa Montrope March 13, 2021 2 Deliverable 6 – Data Grain For any business today, the ultimate goal would make sense of the data collected. Businesses collect data from their customers; to predict market trends and identify areas in the company that need improvement. Companies will do this to keep up with the market trend and stay operational against competitors. Even though this is the case, the data collected's representation influences a lot the relevance and meaning drawn from such data. Sometimes the amount of data grain does not guarantee that such data would be helpful and relevant. Like any other business that operates online, selling tickets to tourists on an e-commerce platform requires customers' data to utilize data collected. In the quest to make sense of and interpret the collected data by a company, various concepts must be well understood. Such concepts are provided by the DIKW pyramid, which entails; Data, Information, Knowledge, and Wisdom. These concepts are often used as interchanger; however, they have different meanings. This paper will discuss concepts provided by the DIKW triangle, how those concepts are applied to the ticket sales, the decision-making process—suggestions regarding data granularity, and how data from ticket sales may be presented better. Concepts Contained Within the DIKW Triangle "Data, Information, Knowledge, and Wisdom" are ...
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