Reference no: EM133903542 , Length: word count:1500
DATA ANALYTICS AND DATA VISUALISATION
Assessment
Assessment type: Individual Report based on Case Study Purpose: Analytical tool evaluation based on Case Study
Task Details:
This part of the assignment likely involves assessing different analytics tools available in the market. You might need to consider factors such as features, capabilities, ease of use, scalability, cost, support, etc. You'll analyze these tools to determine how well they meet the requirements specified in the case study.
Selection based on given case study: This suggests that you need to make a recommendation on which analytics tool is the best fit for the scenario outlined in the case study. You'll need to justify your choice based on the specific needs and constraints presented in the case study, explaining why the selected tool is the most suitable option.
To accomplish this assignment effectively, you'll likely need to thoroughly understand the requirements and constraints outlined in the case study, research various analytics tools, compare their features and capabilities, and make a well-reasoned recommendation supported by evidence from your analysis.
Case Study: Enhancing Marketing Campaign Effectiveness
Company Background:
XYZ Corporation is a multinational retail company specializing in fashion apparel and accessories. With a large customer base and stores in multiple countries, XYZ Corporation aims to enhance its marketing campaign effectiveness to drive sales and improve customer engagement.
Business Challenge:
XYZ Corporation wants to optimize its marketing campaigns to increase customer engagement, drive online and in-store sales, and improve overall ROI. The company currently lacks comprehensive analytics tools to track and analyse marketing campaign performance effectively.
Analytics Tool Evaluation:
Key Requirements:
Multi-channel Integration: The analytics tool should integrate data from various marketing channels, including email campaigns, social media advertising, online promotions, and in-store events. Expert help in every subject - assignment help just a click away!
Customer Segmentation: The tool should enable segmentation of customers based on demographics, purchase history, preferences, and behaviour to target specific customer groups with personalized marketing messages.
Performance Tracking: It should provide real-time performance tracking of marketing campaigns, including metrics such as click through rates, conversion rates, return on ad spend (ROAS), customer acquisition cast (CACI and customer lifetime value (CLV).
Artnbubon Modelling The tool should offer advanced attribution modelling capabilities to accurately attnbute conversions and sales to different marketing touchpoints along the customer journey.
Predictive Analytics: Incorporation of predictive analytics to forecast future trends, identify potential high-value customers, and recommend optimal marketing strategies for maximum impact.
Ease of Use and Scalability: The tool should be user-friendly, with intuitive interfaces for marketers and analysts to access and analyse data easily. Additionally, it should be scalable to accommodate the company's growing data volume and analytical needs.
Cost-effectiveness: Consideration of the total cost of ownership. including licensing fees. implementation costs, and ongoing maintenance expenses, to ensure the chosen analytics tool provides value for money.
Potential Analytics Tools for Evaluation:
Google Analytics 360
Adobe Analytics
Sales force Marketing Cloud
IBM Watson Customer Experience Analytics Tableau CRM (formerly Einstein Analytics)
Your task is to evaluate the above analytics tools based on the provided case study requirements and recommend the most suitable tool for XYZ Corporation. Justify your recommendation with a detailed analysis of each tool's features, capabilities, strengths, weaknesses, and alignment with the company's goals and requirements.
Submission requirements details:
Submit the completed report on Moodle.
Your report should have 1500 words addressing the tasks. The report structure includes the following:
a) Introduction: clearly state the problem, dataset and objectives.
b) Results: Tasks above
c) Conclusion & Recommendation: summarise the objective, findings, and recommendations.
d) Reference - use both in-text and references in Harvard style
e) Appendix