Challenges

git_velocity.md

The Problem

There is an engineer in the team who does not provide enough dedication to the project. We feel like it might be associated with a separate job. Due to it, we need to collect some evidances for the fruitful conversation.

The Solution

We need to analize the GIT repository commits data and compare it to the other developers behavior. The timezones are more or less the same. The amount of code written should be more or less the same due to the fact the tasks handled are quite similar: to create the UI kit widgets for the new website written in ReactJS.

The Steps

• Analize the given information (repository will be shared on demand)
• Extract the data
• Preliminary analize the data you have by applying the data sampling techniques
• Figure out the key criterias to pick up the insights

Examples:

• Vizualize the impact of the changes, and correlations in the behavior (heatmap might be a good idea)
• Vizualize the timings to see any trends in the commits timings

retail_efficiency.md

The Problem

We have a company which sells a lot of products. The problem is, we cannot sustain all the spots on evenings, we need to close some due to the staff shortage. Still, we need to ensure it will have as little impact on our sales as possible. Because of it, we need to understand which products are selling the most during evenings so we can ensure these are available in the stores which will be kept open.

The Solution

Analize the sales data, pick up the information about the products, raise any concers about the customer visits, think about any other opportunities.

The Steps

• Analize the given information (here is a sample, here another one)
• Extract the data
• Preliminary analize the data you have by applying the data sampling techniques
• Figure out the key criterias to pick up the insights
• Vizualize the information

retail_market_analysis.md

The Problem

We are the new company, trying to sell the shoes. The problem is, we struggle to figure out our sales margin policy and we have no idea about our competitors. Would be awesome to find:

• What is a difference in pricings of the different sellers
• Estimate their approximate margin
• Find the most undervalued and the most overvalued positions

The Solution

Analyze the datasets available and correlate the SKUs. Then, compare the pricings to find the differences.

The Steps

• Analize the given information (here is a sample)
• Extract the data
• Preliminary analize the data you have by applying the data sampling techniques
• Figure out the key criterias to pick up the insights
• Vizualize the information