ANLY FPX 5510 Assessment 2 Evaluation of Advanced Analytics Project

ANLY FPX 5510 Assessment 2 Evaluation of Advanced Analytics Project

Name

Capella university

ANLY-FPX5510 Advanced Business Analytics

Prof. Name

Date

Executive Team Places Analytics Department on 90-Day Probation: Business Strategy at Stake

In recent months, the executive team has been basing major business decisions on the results provided by the analytics department. While some of these decisions have been successful, others have led to significant financial losses. As a result, the analytics department has been placed on a 90-day probationary period. After this period, the company’s leadership will decide whether the department should continue to operate or be disbanded. The marketing department head has been appointed to oversee the analytics team’s performance during this period, and all work will be rigorously reviewed before submission to the executives for final decisions.

Business Problem: Evaluating Revenue through A/B Testing

To assess business performance, the company has chosen A/B testing as one of its evaluation methods. This involves comparing the revenue generated per visitor from the same banner ad displayed on two different websites—Yahoo and CNN. The goal is to determine which platform generates higher revenue from the company’s advertisements. This method is intended to streamline advertising efforts and reduce the need for third-party service providers.

In this A/B test, two hypotheses were proposed. The null hypothesis suggested that the average purchase price on Yahoo and CNN was the same, while the alternative hypothesis proposed a significant difference in purchase amounts between the two platforms. The test revealed a significant difference in customer purchase behavior, with Yahoo users responding more favorably to the ad than CNN users.

Testing Methodology: Applying Hypothesis Testing to Business Strategy

The chosen testing method is closely aligned with the broader business problem. Just as A/B testing is used to measure ad performance across two websites, the same approach will be used to evaluate the performance of the analytics team during the probationary period. The aim is to determine the team’s value based on their ability to deliver accurate and actionable insights.

Throughout the 90-day probation, the analytics team will be evaluated using a structured A/B testing framework. The marketing department head will generate two hypotheses: the null hypothesis posits that the team will deliver satisfactory results, while the alternative hypothesis suggests the team will underperform. The outcome will determine whether the team remains intact or is dissolved.

A/B Testing: A Proven Marketing Experiment

A/B Testing Process	Explanation
Hypothesis Formulation	Develop null and alternative hypotheses for the test.
Test Design	Create two distinct versions of the content with only one variable altered.
Data Collection	Show the two versions to similarly sized groups of the target audience.
Analysis	Evaluate the performance of each version to identify the best performer.

A/B testing is a valuable marketing tool for comparing variations in campaigns to see which version performs better. For example, one segment of the audience sees version A of a marketing asset, while another segment views version B. The goal is to identify which content generates the most favorable response. To run an effective A/B test, businesses must develop two versions of the same content, with only one variable changed, and compare their performance across two audience groups (Kolowich, 2019).

Requirements for Implementing A/B Testing in Business

A/B Testing Requirement	Details
Research	Conduct research on current performance and identify the variables.
Hypothesis Development	Formulate hypotheses about future performance based on prior data.
Test Implementation	Create variations and run the test over an adequate time period.
Data Analysis	Ensure accurate representation and avoid biased sampling or length pollution.

Effective A/B testing requires thorough research and hypothesis development. Research should focus on the accuracy and reliability of previous analytics reports, helping to establish hypotheses regarding future performance. Once the hypotheses are set, the next step is to create a variation of the control version and run the A/B test. Running the A/B test over the 90-day probation will allow the company to determine if the analytics team can contribute positively to the company’s strategic goals.

However, potential challenges like biased sampling and length pollution can arise. Biased sampling occurs when the test sample does not represent the entire population, which could lead to misleading results (Saleh, 2019). Length pollution happens when an A/B test is stopped prematurely, resulting in insufficient data. For high-traffic websites like Yahoo and CNN, running the test for a minimum of two weeks ensures more reliable results (Saleh, 2019).

Addressing Potential Issues in A/B Testing

Issue	Solution
Biased Sampling	Run tests consistently over one or two business cycles.
Length Pollution	Determine the appropriate test duration to gather sufficient data.
Rater Bias	Use objective metrics and offer bias-reduction training (Joseph, 2019).

To mitigate issues like biased sampling, businesses should run tests consistently over multiple business cycles to ensure accurate representation. To avoid length pollution, it’s important to determine the appropriate time needed to gather enough data before concluding the test. For high-traffic sites, setting a conversion threshold (e.g., 1,000 conversions) ensures more robust results. Additionally, objective performance metrics can prevent rater bias, which could skew evaluations of the analytics team’s performance (Joseph, 2019).

Conclusion: Deciding the Future of the Analytics Department

The next 90 days will be critical for the analytics department, as their performance will be closely monitored through an A/B testing framework. The executive team will decide whether to retain or dissolve the department based on the results. The team’s work will be rigorously reviewed by the marketing manager to ensure it meets the company’s quality and accuracy standards. This probationary period will offer insights into the team’s potential contribution to the company’s strategic objectives.

References

Joseph, C. (n.d.). Problems With Performance Evaluations. Small Business – Chron.com. Retrieved from http://smallbusiness.chron.com/problems-performance-evaluations-1256.html

Kolowich, L. (2019). How to Do A/B Testing: A Checklist You’ll Want to Bookmark. Retrieved from https://blog.hubspot.com/marketing/how-to-do-a-b-testing

Saleh, K. (2019). AB Testing: 14 Sampling Issues That Can Ruin Your Test. Retrieved from https://www.invespcro.com/blog/ab-testing-14-sampling-issues-that-can-ruin-your-test/

Wingify (2019). What Is A/B Testing? Retrieved from https://vwo.com/ab-testing/