illustrate through a series of examples how an organisation can utilise data, analytics and related tools and platforms to support decisions at both the operational and strategic levels.

M‌‍‍‍‌‍‍‌‌‍‍‍‌‍‍‍‍‌‍‍id-Module Assignment: Part 1 Based upon a company of your choice, illustrate through a series of examples how an organisation can utilise data, analytics and related tools and platforms to support decisions at both the operational and strategic levels. This assignment has 2 parts – you must complete and submit both to pass the assignment. Part 1 (Due end of Unit 5) You will prepare a Poster Presentation together with a written transcript. The length of recording should be up to 15 minutes (and not exceed 2,000 words). Upload your presentation, recording and a transcript of the narrated audio into the discussion forum below. Your discussion post should be titled “Poster presentation”. A visual representation (a one slide poster presentation) will contribute to the oral presentation. Please note, the size of the PowerPoint slide can be made larger in order for more information to be added. On PowerPoint, select design on the navigation bar and then use Slide Size to change. Your slide should be cited in UoEO Harvard style. Remember to include a reference list. To make this an interactive session, you will conduct peer reviews of two other presentations. At the start of Unit 5 your tutor will upload a list on the Module Announcements page assigning you to two specific peer presentations whom you need to review; this will ensure that every student receives sufficient feedback on their presentations. If your allocated peer has not submitted a presentation by the end of Unit 5, please contact your tutor directly. Part 2 (Due end of Unit 6) Peer reviews are to be conducted in unit 6 using the Peer Review Template provided. You should respond to both allocated peers, providing them with useful critical feedback on their submission. Title the responses as “Response 1” and “Response 2”. Each response should be 250 words long. You can additionally respond to other posts to encourage conversation but note that these will not be graded. The student presenter is encouraged to respond to the questions posed in the peer reviews during Unit 6. These responses are not graded. The tutor will also ask questions of presenters. Please note, a word count penalty applies to this assessment. If your assessment exceeds the word count limit or range by more than 10% then your awarded grade will be reduced by 10% grade points. For more information please see your student handbook. Not meeting the word count There is no grade reduction applied if your assignment does not meet the word count range or limit, but to maximise your opportunity to achieve the highest grade possible, you should aim to meet the word count or range as closely as possible. Learning Outcomes To provide managers with foundation of the main concepts of data analytics in order to communicate more effectively with appropriate personnel. To identify and review potential sources of data. To understand various tools that can be utilised used for analysis as well as the data platforms that can support the analytic process and end-to-end workflow. Slide Presentation & Audio Guidance Slide Presentation Guidance If you do not have access to PowerPoint, you may use Google Slides, which is a free cloud-based and multiplatform slide presentation application which you can use on most modern web browsers. If you are an Apple Mac user, you may also use Keynote which is pre-installed on all Apple Mac Laptops and PC’s. If you do make use of either of these applications, please make sure to save your presentation in the PowerPoint format. How to save your presentation in the PowerPoint format: Apple Keynote Google Slides Audio Guidance If you have access to PowerPoint, you can record your narration directly onto your presentation slide. If you do not have access to PowerPoint and you are using an alternative slide presentation application, we recommend that you record your narration separately and upload this file as an additional attachment. You can use an online application called Online Voice Recorder to record your audio. Read guidance on how to use the Online Voice Recorder before starting. Submission Instructions Post your presentation, recording and transcript in the discussion below. Title the post “Poster Presentation”. The word count for the presentation is 2,000 words. Recording length up to 15 minutes. Your presentation deadline is the end of unit 5. In unit 2 respond to two of your peers’ presentations (as allocated by your tutor) with a 250 word feedback using the allocated form. Use UoEO Harvard referencing throughout. —–‌‍‍‍‌‍‍‌‌‍‍‍‌‍‍‍‍‌‍‍——– Unit 5: Tools and Platforms for the Analytics Process This week will review software, systems and platform solutions, relating to data and analytics, that are available to an organisation. In particular, we consider how organisations can build an effective end-to-end analytics workflow, from data gathering through to analysis. In this unit we shall: Outline a proposed business intelligence architecture. Consider the purpose and operation of a data warehouse and its derivatives. Review key analytics platforms and their capabilities. Discuss the growing importance of cloud-based services. On completion of this unit you will be able to: Understand various tools that can be utilised for analysis as well as the data platforms that can support the analytic process and end-to-end workflow. This unit therefore provides a vital link between the data sources and uses discussed in units 3 and 4, and the various aspects of data analytics, and data science, for managers reviewed in units 1 and 2. Unit 5 Reading The reading this week focusses on a review of a potential business intelligence architecture, or infrastructure, as provided by Laudon & Laudon (2019), Chapter 6. Laursen & Thorlund (2016), Chapter 5, provide a useful view of analytics from a data warehouse perspective. Finally, there is a link to a short YouTube video explainer on Hadoop and Map Reduce. Required Reading Laudon, K. C. & Laudon, J. (2019) Essentials of MIS, Global Edition. 13th ed. Harlow: Pearson Education Limited. Chapter 6. Laursen, . & Thorlund, J. (2016) Business Analytics for Managers: Taking Business Intelligence Beyond Reporting. 2nd ed. John Wiley and Sons Ltd. Chapter 5. Additional Reading Intricity101 (2012) What is Hadoop? —- Unit 6: Business Intelligence and Analytics Systems This week we will review some of the key concepts and technologies that were introduced in Unit 5. In this unit we shall: Consider an organisation’s data strategy in providing decision-support information. Review proprietary systems that facilitate ‘augmented’ and ‘embedded’ analytics. Consider big data technologies and analysis tools. On completion of this unit you will be able to: Further understand the various tools that can be utilised for analysis as well as the data platforms that can support the analytic process and end-to-end workflow. The unit therefore provides a more detailed view of the evolution of data analytics capabilities in an organisational setting. Unit 6 Reading The reading this week focusses on a review of business intelligence goals and strategies, followed by examples of how systems and solutions can support big data analytics, augmented analytics and the ‘embedding’ of analytics functionality into separate applications. The Davenport (2017) webinar considers organisational data strategies in generalist terms but does cover key technologies such as Hadoop, Data Lakes and Cloud Services. Shollo & Galliers (2016), meanwhile, offer a different perspective on business intelligence systems in terms of providing day-to-day organisational ‘knowledge’. Landset et al. (2015) consider the performing of big analytics through the Hadoop ‘ecosystem’. Raden (2019) provides a useful overview of OLAP and its various forms and outlines its continuing importance in an age of big data. There follows a series of video resources that demonstrate how augmented analytics is provided in both Tableau (their term is ‘smart analytics’) and SAP. Finally, take a look at how Power BI, as an example, can be embedded into third-party applications. Scroll-down and review the, Nintex, mini video case study to see a clear example of an application’s capabilities being enhanced by embedding a visual analytics capability. Additional Reading Shollo, A., & Galliers, R. D. (2016) Towards an understanding of the role of business intelligence systems in organisational knowing. Information Systems Journal 26: 339– 367. Landset, S., Khoshgoftaar, ., Richter, . et al. (2015) A survey of open source tools for machine learning with big data in the Hadoop ecosystem. Journal of Big Data 2: 24. Tableau (2020) Smart Analytics. SAP Analytics (2020) Augmented Analytics in the Real World – Part 1. SAP Analytics (2020) Augmented Analytics in the Real World – Part 2. Davenport, T. (2017) Harvard Business Review: What’s your data strategy? Raden, N. (2019) Diginomica web post: I’m feeling sentimental about OLAP; you should too. Power BI Developer Centre (2020) Embed analytics ‌‍‍‍‌‍‍‌‌‍‍‍‌‍‍‍‍‌‍‍in your own application. ——-

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