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Do you know the business analytics job is soon to get a hike in the upcoming years? In Australia, work opportunities for business analysts are plentiful. According to an Onya magazine survey, the number of BA employment in Australia would increase to 26,100 by 2023. If you are studying the MBAS903 business analyst course, then you can have a bright future ahead.

If you need MBAS903 assessment answers in order to get good scores, then we are just one call away from you. Nodoubt, the course has a huge scope in the forthcoming years. The Master of Business Analytics programme is meant to provide graduates with business analytics skills and techniques for dealing with large amounts of data, which is becoming more frequent in today's businesses.

You will gain business analytics skills and expertise, including understanding and utilizing the technology and tools needed to do descriptive, predictive, and prescriptive analytics. Graduates of this course will learn the skills and knowledge needed to lead in this setting.

MBAS903 assessment answers

What are the Learning Outcomes of the Business Analytics Course?

MBAS903 assignment help experts say there are numerous benefits of studying this course. Course Learning Outcomes are assertions of learning attainment that describe what the learner should know, understand, and be able to do at the end of the course. After completing this course, students will be able to:

  • Critically examine and synthesize theory and practice.
  • Apply novel approaches to business analytics issues.
  • Effectively communicate complicated discipline knowledge in writing and oral modes.
  • Conduct a research study with a professional purpose.
  • Analyze ethical responsibility and environmental concerns in business analytics collaboratively.
  • Examine your own ideas, methods, and input from others critically.

What is Significance of Business Analytics?

Business analytics plays a vital in the development of business. It enables them to get detailed information about their past, present and upcoming operations. Almost every organization utilizes quantitative data to make rational decisions in sales, marketing, finance and internal procedures. With a variety of technologies, businesses may utilize their data in new ways, thanks to business analytics. The quantity of data gathered greatly surpasses what people can handle, but business analytics technologies can analyze not only huge volumes of data but also offer a more detailed understanding of what it means and how to use it.

MBAS903 Assessment Answers

Study Materials for Business Analytics

  • Holsapple, Clyde, Anita Lee-Post, and Ram Prakash. "A unified foundation for business analytics." Decision support systems 64 (2014): 130-141.
  • Evans, James R. Business analytics. Pearson, 2017.
  • Kohavi, Ron, Neal J. Rothleder, and Evangelos Simoudis. "Emerging trends in business analytics." Communications of the ACM 45, no. 8 (2002): 45-48.
  • Acito, Frank, and Vijay Khatri. "Business analytics: Why now and what next?." Business Horizons 57, no. 5 (2014): 565-570.
  • Vidgen, Richard, Sarah Shaw, and David B. Grant. "Management challenges in creating value from business analytics." European Journal of Operational Research 261, no. 2 (2017): 626-639.
  • Wixom, Barbara H., Bruce Yen, and Michael Relich. "Maximizing value from business analytics." MIS Quarterly Executive 12, no. 2 (2013).
  • Power, D. J., C. Heavin, J. McDermott, and M. Daly. "Defining business analytics: An empirical approach." Journal of Business Analytics 1, no. 1 (2018): 40-53.
  • Sharma, Rajeev, Sunil Mithas, and Atreyi Kankanhalli. "Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organizations." European Journal of Information Systems 23, no. 4 (2014): 433-441.
  • Duan, Lian, and Ye Xiong. "Big data analytics and business analytics." Journal of Management Analytics 2, no. 1 (2015): 1-21.
  • Duan, Yanqing, Guangming Cao, and John S. Edwards. "Understanding the impact of business analytics on innovation." European Journal of Operational Research 281, no. 3 (2020): 673-686.

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MBAS903 Assessment Answers 2

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What are the Types of Business Analytics?

There are various types of business analytics. It helps the organization to work at its highest potential. Being a business student, you must know these points. So, here are the important types of business analytics added by assignment providers -

  1. Descriptive Analytics
    • "What happened?" is answered by descriptive analytics. Customers choose this form of analytics because it provides reporting and analysis based on previous occurrences. It assists businesses in comprehending issues such as:
    • How much did the firm sell?
    • How productive were we overall?
    • How many consumers did you lose in the previous quarter?

    Descriptive analytics is used to analyze overall performance at a high level, and it is by far the simplest place for a firm to start because data is easily available to create reports and apps.

  2. Diagnostic Analytics
    • Diagnostic analytics, like descriptive analytics, relies on previous data to provide answers. Diagnostic analytics, on the other hand, instead of concentrating on "what," asks why an event or abnormality happened in your data. Diagnostic analytics is perhaps the most undervalued and underutilized phase in the analytics maturity paradigm. Most clients, anecdotally, seek to move from "what occurred" to "what will happen" without ever addressing the "why did it happen" stage.
  3. Predictive Analytics
    • Predictive analytics is one of the essential types of machine learning that helps to predict what is going to happen on the basis of previous data. Predictive analytics models are built with the help of historical data that makes up the majority of diagnostic and descriptive analytics.
  4. Prescriptive Analytics
    • The fourth and final pillar of contemporary analytics is predictive analytics. Prescriptive analytics refers to true directed analytics, in which your data is prescribing or directing you to take a certain action. To drive decision making, it effectively combines descriptive and predictive data.
MBAS903 Assessment Answers

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