PARTNER Projects

The primary goal was to coordinate marketing efforts that led to significant improvements in the company’s market presence and engagement

• Implement a digital marketing strategy and employing methods such as social media campaigns, search engine optimization (SEO), Google Ads and the development of Key Performance Indicators (KPIs) to measure the campaign's effectiveness
• Implement a traditional, in-person marketing strategy to compliment digital efforts
• Construction of a Diversity, Equity, and Awareness (IDEA) growth plan, and increasing overall market awareness of the company

1. Company supplied financial data related to marketing
2. Company provided samples of former traditional marketing campaign efforts
3. Microsoft Office for presentations and documentation.

The solution was developed using a dual approach:

• Student Team 1: This included social media campaigns, SEO, Google Ads, financial analysis and the development of KPIs.
• Student Team 2: This involved strategizing in-person engagements, constructing an Inclusion, Diversity, Equity, and Awareness (IDEA) growth plan and increasing overall market awareness of GOTR.

The coordinated marketing efforts offered improvements in the company’s market presence and engagement with a goal to increase social media following, higher search engine rankings, enhanced digital visibility and greater participation from various communities across the 13 targeted counties.

Purdue University Daniels School of Business BS General Management

The objective is to provide recommendations to the business on how we might hire more effectively and reduce attrition.

Available information sources for Project 1 include:

• EVP campaign tracking methods
• Applicant flow and hiring outcomes
• New hire survey and WAVE survey results
• New employee orientation materials
• Turnover data
• Access to site for observation

Available information sources for Project 2 include:

• Warehouse turnover data
• Applicant flow and source information
• Job Design – current and aspirational
• Automation and digital design outlook

Project 1:
Students will analyze the effectiveness to:

• Capture new candidates
• Improve awareness of benefits
• Improve knowledge of core programs
• Overall satisfaction with joining
• Design options to elevate new hire onboarding
• Recommend a model that will best accomplish the factors listed above

Purdue University Daniels School of Business MS Business Analytics and Information Management

The principal aim is to identify leading hydroponic equipment suppliers within the USA and globally, evaluating their potential for licensing partnerships concerning our innovative Rotary Aeroponic® system design and increasing our base of seed pod subscriptions, particularly within the context of their existing grow tent offerings.

This study is primarily interested in equipment suppliers and not input suppliers (providing consumables such as growing media and fertilizers).

Students will determine the recommended pricing for the complete grow-tent and seed pod systems.

Management Consulting

Purdue University Daniels School of Business BS General Management

Create a robust and data-driven framework for assessing and qualifying IT and operations suppliers, thus enhancing the vendor selection and risk management program. The project will leverage various industry partner and external data sources, including historical supplier performance data, industry benchmarks, and external risk indicators, to develop a comprehensive evaluation model and scoring tool.

The model should consider factors such as financial stability, operational capacity, cybersecurity preparedness, and compliance adherence, to name a few considerations.

Vendors

• Vendors that are referenced in the abstract will be 36 in number, and segmented as Tier 1 under the IT&Operations category

Key risk indicators dimensions and availability

• Industry partner requires 6 but is not limited to macro dimensions of KRI and 5 qualification criteria
• Students are expected to review all publicly available information in order to build the predictive model.
• Historical data related to SLAs and IT security risks will be provided by the industry partner.
• We also expect that the students will utilize algorithms, data analytics and machine learning techniques they have learned and used in academia.

Our expectation is that the students will create a risk qualification and evaluation predictive model for Tier 1 IT and operations suppliers that the industry partner can easily use to make decisions through the overall supplier lifecycle process, in particular to mitigating risks.

Purdue University Daniels School of Business MS Business Analytics and Information Management