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Uploaded by MasterScience9621
Data Modeling Tools and
their benefits to
determine profitability
Ashim Neupane
MSDS-533-M20 Data Management for Data Science
Dr. Wifvat
October 20th, 2023
Table of Contents and Deliverable
Introduction
What is Data Modeling?
Benefits of Data Modeling
Types of Data Modeling
Applications of Data Modeling
Data Modeling Tools
•
Microsoft Excel
•
Access
•
Oracle
•
SQL Server
•
Tableau
Conclusion
Introduction
Welcome to this PowerPoint presentation because today we are going to
discuss Data Modeling Tools and their benefits to determine profitability.
In recent years, data has become a critical asset to businesses and it is
important to understand how to leverage data in order to make informed
decisions.
Data modeling is a way to organize and effectively manage data in order
to maximize its value.
In this presentation, we will look at the different data modeling tools and
their Benefits when it comes to determining profitability.
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What is Data Modeling?
Data Modeling is a way to transform complex data into a
more simplified form (Haslbeck et al., 2022).
It is a process that involves transforming data into logical
structure, such as a diagram or a diagram-like
representation.
Data Modeling is also used to understand the complexities
and relationships between different entities in a database.
Benefits of Data Modeling
Data Modeling can help determine profitability through the following benefits:
Assist in the identification of trends and patterns in data – Data Modeling is a way of
visualizing and summarizing data, making it easier to spot important trends and patterns
within the data.
Improved understanding of data – When data is presented in a simpler way, it is easier to
interpret and understand. Data Modeling provides insights into data that may not be
immediately apparent when the data is presented in its raw form (VanDerHorn & Mahadevan,
2021).
Consolidation of data into useful information – Data Modeling allows data to be summarized
into useful information that can be more easily analyzed and understood. This includes the
identification of relationships between data points, which can help highlight important trends
and patterns.
Types of Data Modeling
There are two main types of Data Modeling:
Conceptual Data Modeling: This type of Data Modeling involves the creation of
simple diagrams and models that can be used to describe the organization of
data. This method does not involve any further analysis or manipulation of the
data.
Logical Data Modeling: This type of Data Modeling involves more complex
models and diagrams that can be used to analyze data. This method is more
comprehensive and involves the manipulation of the data in order to create a
model that can be used to extract meaning from it.
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Applications of Data Modeling
Data Modeling can be used in a variety of industries and
applications to help determine profitability.
For example, it can be used in finance to help analyze and predict
financial data.
It can also be used in the healthcare industry to help analyze
patient data.
Additionally, Data Modeling can be used in marketing and
advertising to analyze customer data (Campbell et al., 2020).
Data Modeling Tools
There are numerous data modeling tools available that
can be used to create and interpret data models.
Some of the most popular tools include Microsoft Excel,
Access, Oracle, SQL Server, Tableau, and SPSS.
Each of these tools offers different features and levels of
complexity.
Microsoft Excel
Microsoft Excel is one of the most popular data modeling
tools.
It is a spreadsheet program that can be used to create and
analyze data models.
Excel offers a wide range of features, including functions,
formulas, charts, and data validation.
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Access
Microsoft Access is a database program that can be used
to create and analyze data models.
It offers a wide range of features, including forms,
queries, tables, and macros.
Oracle
Oracle is a powerful database program that can be used to
create and analyze data models.
It offers advanced features, such as stored procedures,
triggers, and user-defined functions.
SQL Server
SQL Server is a powerful database program that can be
used to create and analyze data models.
It offers features such as transactions, stored procedures,
and triggers.
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Tableau
Tableau is a powerful business intelligence platform that can be used to
create and analyze data models.
It offers features such as data visualization, analytics, and dashboards.
Conclusion
Data Modeling tools offer many benefits to determine profitability.
By using the right tool for the job, you can more effectively
analyze your data and draw accurate conclusions from it.
Thank you for your time and your attention.
References
Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y. J., & Mavrommatis, A. (2020). From data
to action: How marketers can leverage AI.
Business horizons
,
63
(2), 227-243.
Haslbeck, J., Ryan, O., Robinaugh, D. J., Waldorp, L. J., & Borsboom, D. (2022). Modeling
psychopathology: From data models to formal theories.
Psychological
Methods
,
27
(6), 930.
VanDerHorn, E., & Mahadevan, S. (2021). Digital Twin: Generalization, characterization
and implementation.
Decision support systems
,
145
, 113524.
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Groups’ Short-bio
•
Submitted to:
Dr. Wifvat
•
Course:
MSDS-533-M20 Data Management for Data
Science
•
Student’s Name:
Ashim Neupane
•
Date of Submission:
October 20th, 2023
•
Purpose and Title of Submission:
Data Modeling Tools
and their benefits to determine profitability
Presentation
•
In your presentation use
short statements with
reference.
Don’t use a long paragraph
.