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Essay Available:
Pages:
5 pages/β‰ˆ1375 words
Sources:
4 Sources
Style:
APA
Subject:
Management
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 24.3
Topic:

Application of Data Analysis on Business Disciplines to Support Strategic Design-Making

Essay Instructions:

Module 2 - SLP
STRATEGIC ADVANTAGE: ANALYTICS AND ECONOMICS
Assignment Overview
Data Analytics and Strategic Decision-Making
Your study of Business Analytics and Decision Making may seem long ago, but you’ve been building on what you learned throughout the program. That will not stop even after you’ve hung the diploma on your wall.
Session Long Project 2 Resources
SWOT Framework (2022)
Strategic Issue Identification (2022)
Management/Leadership: How Education and Training Affect the Economy (2022)
Managerial Economics: Improve data value by relying on economic principles (2022)
Financial/Accounting Functions: Four Ways Big Data Analytics Can Add to Profits (2022)
Managing Operations: Sectors Being Transformed by Big Data (2022)
Marketing: Why we care about AI in marketing (2022)
SLP Assignment
Cross-Department Data Analytics
For this project, research how data analysis is applied across business disciplines to support strategic design-making. Use quality research published within the last year. Articles from the library databases are a good choice. Library databases allow searching by date. In Google search, click “Tools” and enter the date range. Write ¾ of a page of fully research-supported content for each discipline:
Management/Leadership
Managerial Economics
Financial/Accounting Functions
Managing Operations
Marketing
3/4 of a page for each, 3 ¾ pages total. Research required.
Overall Data Analysis Strategy
Formulate connections between all of the areas covered to capitalize on trends and strategic decision-making. (1¼ page). Research required.
No quotations are permitted in this paper. Since you are engaging in research, cite and reference the sources in APA format. NOTE: Failure to use research with accompanying citations to support content will result in reduced scoring “Level 2-Developing” across the grading rubric. This is a professional paper, not a personal one based on feelings. It must be written in the third person. This means words like “I,” “we,” and “you” are not appropriate.
Assignment Expectations
Use the attached APA-formatted template to create your submission.
The template is set up in APA 7: double-spacing, font, margins, headings, page breaks, APA help links.

Essay Sample Content Preview:

Data Analysis 1
Student’s Name
Institutional Affiliation
Course Code
Professor’s Name
Date
Introduction
Today's data-driven corporate environment relies heavily on data analysis to assist strategic decision-making. Businesses in all industries increasingly know the enormous advantages of using data analytics to learn important insights and make wise decisions. The essay examines the use of data analysis in important in business disciplines, such as leadership and management, economics, accounting and finance, operations, and marketing. Data analysis in management and leadership enables managers to glean useful insights from various data sources, improving business performance, employee productivity, and client satisfaction. Managers may successfully reduce risks, pinpoint areas for improvement, and make data-driven decisions by seeing patterns, trends, and correlations. The essay examines how data analysis is used in these five crucial business sectors to inform strategic choice-making and accomplish organizational objectives.
Management Leadership
By giving people the knowledge, skills, and expertise required to contribute to the workforce, education, and training play a significant role in fostering economic growth. Employees are empowered to improve their skills, adjust to shifting market circumstances, and innovate in their respective professions through quality education and ongoing training programs (Inc, 2022). Consequently, productivity and efficiency rise across all industries. A thorough awareness of organizational dynamics and the capacity to make wise judgments based on trustworthy data analysis are necessary for effective management and leadership. Managers and leaders can analyze complicated data sets, spot patterns, and derive valuable insights with the help of education and training. They can predict market trends, spot development possibilities, and choose strategic design options that support the organization's goals because of their analytical abilities.
Additionally, managers and leaders benefit from education and training as they improve their critical thinking, problem-solving, and judgment capacity. They learn how to evaluate risks through data analysis, optimum resource allocation, and formulate effective solutions to issues. By employing data-driven insights, managers and executives may encourage innovation, enhance operational efficiency, and make better-informed decisions that benefit the firm's bottom line. The economic benefits of education and training extend beyond specific organizations. A nation's economy becomes more competitive overall when its personnel is well-educated and trained. Increased productivity and innovation can attract foreign investment, promote entrepreneurship, and aid the growth of knowledge-based sectors. These factors can all be influenced by higher levels of education and training. As a result, more employment is created, salaries rise, and living standards rise.
Managerial Economics
Data analysis plays a significant role in managerial economics by offering important insights for wise decision-making and strategic planning. Utilizing economic concepts to maximize the value derivable from data has become increasingly important in recen...
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