Reference no: EM133784260
Big Data Analytics
Assessment - Individual Big Data Research Report
Description - For this assessment, you are required to write a 3500-word report on the lecturer/tutor assigned industry. In your research report, you are required to explain your understanding of big data architecture, tools, and technologies and focus on how big data strategy can improve business value to the industry to meet client requirements.
Individual Big Data Research Report: The Transformative Impact of Big Data on the Marketing Industry
GOAL:
In today's rapidly evolving marketing landscape, the ability to harness and analyse big data is essential for making informed business decisions. The primary objective of this research report is to investigate the transformative impact of big data on the marketing industry by examining its architecture, tools, and strategies. The report aims to provide insights into how big data can enhance marketing effectiveness, improve customer targeting, and drive business success while addressing the challenges associated with its implementation.
OBJECTIVES:
Examine the role of big data architecture in marketing
Analyse the use of big data tools in marketing analytics
Evaluate the impact of big data strategies on decision-making
Identify key challenges in big data implementation for marketing and propose solutions to enhance big data value in marketing
REPORT WRITING GUIDELINES:
You are required to write a 3500-word research report that explores the application of big data in the marketing industry.
Use the provided CIM assessment cover sheet template to fill in your details such as the title of your assessment, your name, your student ID, the unit's name, and the unit code. There must be no graphics or pictures on the cover page.
Provide 'No more than one page' of summary.
Auto-generated table of contents.
Comprehensive overview of how big data can be leveraged to transform marketing practices and drive business success in the introduction part.
The body of the report should comprehensively address the following aspects:
Key components of big data architecture, including data storage, processing, and analysis layers, and how these architectural components support the needs of the marketing industry.
Tools and technologies commonly used in big data processing and how these tools are applied in marketing analytics to improve customer targeting, segmentation, and personalisation.
Assessment of how a well-structured big data strategy can enhance decision-making in marketing, particularly in areas such as customer insights, predictive analytics, and real- time personalisation.
Analysis of how big data can enable marketing teams to meet client expectations and achieve key business goals, such as increasing ROI, improving customer engagement, and driving sales.
Identify the key challenges marketers may face when implementing a big data strategy and propose solutions or strategies to overcome these obstacles while maximising the value of big data in the marketing industry.
Include relevant case studies or real-world examples from the marketing industry that illustrate the benefits of using big data.
In the conclusion section, you need to summarise your research report and findings.
Use academic references to support your arguments and use APA referencing style for your in-text citations.