DSCI 2010 Walden University Data Science and Organizations Nutri Mondo Report

User Generated

arvfun2003

Business Finance

DSCI 2010

Walden University

DSCI

Question Description

I'm working on a business report and need a sample draft to help me study.

To prepare for this assignment, review your Learning Resources. Then, go to the World of Data Science, visit Miami to meet the data science team at Nutri Mondo.

For the assignment, write a report to your director, Susana, about the data science team at Nutri Mondo. Think about insights you gained from the videos of data scientists and from the articles you read. Then, write 4-6 paragraphs that answer the following questions:

  • How would you define data science?
  • Why has the role of data science become so important to businesses and other organizations?
  • What factors have led to big data being available and accessible, even to smaller companies and organizations?
  • At Nutri Mondo, what is the value of the data science team’s work within the context of the organization?

Student has agreed that all tutoring, explanations, and answers provided by the tutor will be used to help in the learning process and in accordance with Studypool's honor code & terms of service.

Explanation & Answer

Please view explanation and answer below.

1

Report: Data Science

2
To: Susana Maciel
From:
Date: 6/6/2020
Subject: Report on the Data Science Team at Nutri Mondo
I am writing to brief you on my findings about the data science team at Nutri Mondo that I have
gathered so far in my internship.
Nutri Mondo relies heavily on data science for its day-to-day operations. The company has
invested heavily in a data science team that is involved in collecting and analyzing data. Data
science is one of the fastest-growing and promising fields in computer science. It can be defined
as a multidisciplinary method used towards extracting actionable insights from large and
increasing volumes of data that are collected and created by modern-day organizations (Jones,
2018). It involves the preparation of data so it can be analyzed and processed before advanced
data analysis can be performed (IBM, 2020). The results are presented to identify patterns and
allow stakeholders make more informed decisions. Data preparation involves several activities.
They include aggregating, manipulating, and cleansing as part of readying the data for specific
types of processing. Collectively this process is referred to as data munging (Jones, 2018). The
analysis process on the other hand demands the creation and use of artificial intelligence models,
analytics, and algorithms. It is carried out using software that digs through data to identify
patterns within and transforms them into predictions that can then be used in the decision-making
process. The predictions are then tested for accuracy using scientifically designed tests and
experiments (IBM, ...

ElnaOrfg (20697)
Carnegie Mellon University

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