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Study undergraduate online with La Trobe University through Open Universities Australia. Explore all degrees, subjects and short courses now.

Data Analytics Concepts

Business Intelligence

Strategic Financial Analysis

Data Analysis for Business

Analytics for Decision Making

HR Analytics

Disruption in Business

Marketing Analytics

Digital Economy and Analysis

Predictive Analytics

Any modern business today will utilise some form of spreadsheet tool to review, manipulate and visualise data (in the form of charts for reporting). A spreadsheet tool also enables one to undertake advanced tasks on business data, such as performing scenario analyses and undertaking complex data analytics, for example creating a forecasting model. In this subject, you will learn how to use two technological tools to undertake data analysis. The first tool is Structure Query Language (SQL), which we will use to pull relevant data into Excel and facilitate further analysis. Next, various advanced Excel analyses including pivot tables, statistical analysis, and creation of basic forecasting models will be covered. Upon successful completion of this subject you will be proficient in basic data analysis using Excel and SQL, setting you up to become an analytical and data driven problem solver. With these skills, you will also be ready to identify insights allowing you to disrupt typical business operations systematically and with a higher chance of success.

Get up to speed with basic data analysis using SQL and Excel. You’ll delve into the data analytics concepts and processes used in business today. Find, present, and explain data trends. Solve complex business problems.

Technology-enabled supply chains are becoming increasingly effective, efficient, and transparent. In the future scenario of smart supply chains, a supply chain in the real world will be simulated by its digital twin deployed in a cloud computing platform. Real-time data in factories, warehouses, and transport vehicles will be collected and processed by Internet of Things (IOT) devices, and then sent to the supply chain’s digital twin. The data analytics and artificial intelligence (AI) models behind the digital twin will analyse the data, simulate the supply chain processes in the real word, and help us to make informed decisions for supply chain management, such as inventory control and redeployment for supply chain disruptions, dynamic management of suppliers, and fast responses to customers’ complaints. In this subject you will learn how to model and design smart supply chains to enable data driven decision making, optimisation of operations, and adaptation to changing market conditions. Using authentic case studies and practical digital tools, you will develop the critical thinking and problem-solving skills required to identify problems in the smart supply chains and develop practical solutions to address these problems.

Supply Chain Analytics And Digitalisation

In this subject, you will examine the relationship between human resource management and organisational strategy and analyse the impact of high-performance work systems on employee attitudes and behaviours, and organisational performance. You will explore the impact of HR practices and initiatives on various employee-related metrics as well as organisational performance and will learn how to make data-driven decisions for strategically managing your organization&#39;s workforce. You will learn how to analyse and interpret qualitative and quantitative employee-related data to solve complex HR issues with new strategic proficiencies and develop an understanding of how HR analytics contributes to a more successful performance of HR’s strategic role.

Human Resource Analytics

In today&#39;s data-driven business landscape, organizations are increasingly adopting data-driven decision making as the core of their decision-making processes. This customer analytics subject explores the transformative potential of marketing analytics in improving decision making. By engaging with various marketing metrics and models, students will develop the essential skills to identify challenges, analyze data, and devise optimal solutions for diverse marketing scenarios. This comprehensive subject delves into the fundamental principles of customer analytics and its practical application in organizational contexts. Students will gain a comprehensive understanding of key concepts such as customer segmentation, customer profiling, and customer behavior analysis, all of which play a crucial role in enabling the successful implementation of marketing strategies. Real-world case studies will provide students with hands-on experience in using customer analytics tools, allowing them to refine their proficiency in utilizing these tools effectively. Moreover, this subject fosters critical thinking abilities, empowering students to navigate customer-centric work environments with skill and adaptability.

Customer Analytics

Traditional business models are being disrupted by numerous factors. Chief among them are new technologies that change how businesses operate. One commonality observed among these disruptive trends is the role of data. Data has become a highly valued business asset, forming a strong foundation to high quality decision processes. This subject will introduce you to the role of data in disrupting traditional business operations and formulating business strategy. You will gain an appreciation of how data can be turned into business insights through a process called analytics, using examples across a range of business problems. On completion of this subject, you will appreciate the pivotal role that data and analytics play in various strategic initiatives within organisations, and the strategies that link analytics to business performance while balancing issues such as ethical and data governance.

La Trobe University Undergraduate Business analysis Subjects | Open Universities Australia

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