Eco-Efficient Water Management System for Manufacturing

The project aims to design an eco-efficient water recycling, filtering, and cooling system specifically for a shock absorbing pad manufacturing line. The current manufacturing process consumes a significant amount of water, leading to high operational costs and environmental impact. By developing a sustainable water management system, the project seeks to reduce water usage, minimize waste, and enhance the overall efficiency of the manufacturing line. The system should integrate seamlessly with existing operations, ensuring minimal disruption while maximizing resource conservation. Learners will apply principles of fluid dynamics, environmental engineering, and process optimization to create a viable solution. The project will involve researching current technologies, designing a prototype system, and evaluating its effectiveness through simulations or small-scale testing.

Marketing - product management and market deep-dive

The artificial turf industry has undergone several significant changes in the last decade. What used to be the easiest predictor of success (volume) is now but one of the many different dimensions by which we evaluate our success. Our sales strategy is includes several elements, including but not restricted to: product, channel, region, partner and many more. This evaluation matrix is loosely defined, and coupled with the large volume of data involved - much of it dirty - and the limited data fluency within the org, we struggle to cube our sales into meaningful metrics and compare it to our high-level sales strategy. We are seeking a team to perform a lookback of the last 10 years of sales, define the most relevant metrics, build a regional and consolidated dashboard in Power BI that is meaningful to senior business leaders with minimal analytical training. As part of their journey to successful deliver the final deliverables, the team will need to perform these steps: Gain an understanding of the business Perform exploratory analysis to identify which business drivers are the most significant and relevant for our senior business leaders Identify the relevant data sets - most of which are not integrated Build any simplifying SQL queries if the load on Power Query is too heavy Perform an analysis of the dirty data & identify reasonable assumptions that are relevant to our business as placeholder data points for the dirty data Building a supporting dashboard with metrics on the data quality that is easy to navigate and can be drilled down so that users can know exactly which data records require cleaning, why, and what the expected result should be Final deliverables include: A presentation the covers key methodology, findings and reasoning behind selection of key metrics and visualization techniques The exploratory analysis (10-year lookback) The sales dashboard in Power BI The data quality dashboard in Power BI

Marketing - product management and market deep-dive w/ margins

The artificial turf industry has undergone several significant changes in the last decade. What used to be the easiest predictor of success (volume) is now but one of the many different dimensions by which we evaluate our success. Our sales strategy is includes several elements, including but not restricted to: product, channel, region, partner and many more. This evaluation matrix is loosely defined, and coupled with the large volume of data involved - much of it dirty - and the limited data fluency within the org, we struggle to cube our sales into meaningful metrics and compare it to our high-level sales strategy. We are seeking a team to perform a lookback of the last 10 years of sales, define the most relevant metrics, build a regional and consolidated dashboard in Power BI that is meaningful to senior business leaders with minimal analytical training. As part of their journey to successful deliver the final deliverables, the team will need to perform these steps: Gain an understanding of the business Perform exploratory analysis to identify which business drivers are the most significant and relevant for our senior business leaders Identify the relevant data sets - most of which are not integrated Build any simplifying SQL queries if the load on Power Query is too heavy Perform an analysis of the dirty data & identify reasonable assumptions that are relevant to our business as placeholder data points for the dirty data Building a supporting dashboard with metrics on the data quality that is easy to navigate and can be drilled down so that users can know exactly which data records require cleaning, why, and what the expected result should be Final deliverables include: A presentation the covers key methodology, findings and reasoning behind selection of key metrics and visualization techniques The exploratory analysis (10-year lookback) The sales dashboard in Power BI The data quality dashboard in Power BI

Market Research: Recycling Artificial Turf

The maturing artificial turf industry is facing a challenge - hundreds (soon to be thousands) of artificial turf fields are scheduled to be replaced annually and there is a dire need to a good recycling option. Currently the artificial turf carpet is either being re-purposed for landscape use, which isn't a long term solution, or sent to a landfill. We want you to help us research and potentially trial various methods of recycling the product and maximize its value. Artificial turf is comprised polyethylene fibers, polypropylene backing with polyurethane coating. By weight the composition is 62% polyethylene, 11% polypropylene and 22% polyurethane. The selected team to lead this project will be given a further brief on some of the industry challenges such as the geographical footprint and economic considerations. To accomplish this, we believe you should focus on: Researching methods for plastics recycling (literature review). Discussions with polymer science experts. Interaction with potential plastics recycling companies. Further develop the economic model of field removal and associated recycling costs. Final deliverables include: A written report explaining potential recycling strategies. A 10-minute product pitch presentation.