Inspiration
Celonis provided us with incredible tools in order to analyze the processes behind Giovanni's operation. We sought to determine which factors were responsible for the drop in efficiency behind certain process variants, and how it affected the business.
What it does
This project primarily analyzes the automation level of the most frequent process variants and how they affect customer satisfaction and profit: two main factors that are metrics of success for a business.
How we built it
We built the main interactive process analysis using a Celonis applet. The primary correlations were also made with the built-in Celonis tools; other influential data was visualized through Python's Seaborn library, and our use of Python helped us develop additional .csv files with a bit of coding and pre-processed data.
Challenges we ran into
We hypothesized plenty, looking for factors influencing the decrease in satisfaction and profit; however, we had to discard them as the visualizations provided little to no evidence for these hypotheses. This made the process of looking for proper evidence tedious but allowed for our final evidence to be essential.
Accomplishments that we're proud of
We found a correlation between variables that were difficult to analyze and required processing; we are extremely proud of our unique conclusions, which would help Giovanni improve his business and gain an upper hand over the competition.
What we learned
As the analysis we did was very detailed and would look packed in this textbox, we created separate documents as detailed reports of what we learned and concluded.
The main thing we learned was the usefulness of Celonis tools in visualizing processes to improve business efficiency. We never really thought that there can be that many variations in a business' process, and hence realized that if the inconsistencies in these variations are fixed then the number of business efficiency leaks can be exponentially decreased.
What's next for Pizzeria Mamma Mia: Process Analysis
The next step in helping Giovanni further optimize his business's efficiency, we would look into specific niches and unusual process variations. Then formulate a hypothesis on what factors such as specific steps in each variation that caused the inconstancies in automation of steps and time delays for Giovanni's business process. Finally, based on each step we find that is causing inefficiencies to Giovanni's process, we would implement ways to fix them individually in order to maximize the efficiency of Giovanni's business.
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