Data Design - Assignment PDF

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Running head: DATA DESIGN
Data Design
Student’s Name
School Affiliation

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DATA DESIGN
Table of Contents
Introduction.................................................................................................................................................3
Assessment of Data Analysis Activities Outcome........................................................................................4
Use of Data Collection Methods..................................................................................................................4
Employed Data Collection Tool....................................................................................................................5
Design of Data Collection Tool.....................................................................................................................6
Strengths of Interview.................................................................................................................................6
Weaknesses of Interview.............................................................................................................................7
Recommendation........................................................................................................................................7
Conclusion...................................................................................................................................................7
References...................................................................................................................................................8
Appendices I..............................................................................................................................................10

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DATA DESIGN
Introduction
The aim of the company is to make profits and therefore they must formulate an appropriate
technique of attracting clients. The utilization of technology of data design is one of the key
strategies of carrying out business activities such as online purchases (Lewis, 2015). The
conceptual data design study is an essential step in the data design process. Data design is the
initial operation, that leads to less complicated, efficient as well as modular program architecture.
The data domain model created in the analysis stage is translated into data frameworks required
in executing the software. The attributes, relationships as well as data objects shown in the entity
relationship illustrations and the data kept in the dictionary offer a foundation for data design
operation. Data types are defined together with the integrity policies needed for the data in the
time of data design procedure (Robins, 2011).
In order to design appropriate data structures, various concepts must be adhered to which include
the following:
i) The data structures required in establishing the software and activities that can be
deployed on them should be established.
ii) A data dictionary must be created to show how various data objects relate with each other
as well as what constraints to be manipulated on the components of the data structure.
iii) Step by step verification should be deployed in the data design procedure and informed
design decisions should be set later in the procedure.
iv) Only modules which require to access data kept in a data structure should have
knowledge of the depiction of the data structure.

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DATA DESIGN
v) A library consisting of a set of important data structures kept in the data structure
together with activities can be carried out on them must be upheld.
What is needed most in the data design is the practice as well as a formal strategy for collecting
information requirements as well as modeling data (Calonico, Cattaneo, and Titiunik, 2014).
This designing effort needs a formal method to the discovery as well as the establishment of
entities as well as data components. This article entails the blueprint of the gathering, analysis as
well as measurement of data in a healthcare organization.
Assessment of Data Analysis Activities Outcome
The links amongst hospitals, patients as well as clinical officers are analyzed. The statistics are
calculated using the graph metrics as well visualization of groups and architecture of the graphs.
Through this we this we establish the top diseases as well their categories (McNeish, 2014). This
was achieved through the depiction of web operation log as a graph referring the links amongst
healthcare staff as well as patients in respect of the activity.
Use of Data Collection Methods
The data gathering is a significant factor of any kind of study, for in inappropriate data collection
can affect the outcome of the study and probably result in invalid outcomes. The data collection
techniques include the quantitative as well as qualitative analysis. To begin with, the quantitative
data gathering method is based on random sampling as well as structured data gathering
equipment that suit diverse practices into a predefined response category. They give results that
are simple to compare, generalize and summarize (Etherington et al., 2017). Quantitative method
is involved in testing hypothesis gotten from theory as well as being capable to approximate the
size of the desired phenomenon. In respect of the research query, practitioners might be