My inspiration has run dry and I need your help! I am currently working on a Price crowdsourcing project where my company has created an app in order to monitor the price of Cars Lubricants (ours and those of our competitors) in the market. The project was started in not the best way in my opinion as the higher-ups launched the data collection (sending hundred of people in stores to photograph and collect the price of the different products mainly in gas stations ) and once they had that data (only then...) they have asked around what they could possibly do with this data beyond a usual price monitoring. That is when they have sought me out as the Lead Data Scientist (the only one haha, lonely life if you ask me...) to give them some ideas and some direct applications for the sales managers and the price managers. I went through the data and even though the quality of the crowdsourced data was low, I suggested and applied some ideas like :Market overview : How were positioned compared to our competitors for every product range (premium, mid-range product, low-cost product, niche-products) using a graph on the x-axis the average price reported and in the y-axis the number of stores who actually carry out the product. The size of the circles id the standard deviation of the price reported for that products so a large circle means that that products is sold at varying prices.Map : I showed the data on a map and tried to find some link between the geographic position and the prices but there were real correlation. For example a region where the price are especially low or high.Epidemic Expansion Model : An other idea that I have yet to implement is to visualize the products in a network. I was inspired by the epidemic expansion model where a drop or a rise in the price for one product in one store could impact the prices of others same-brand-products or competitor's product. I was imagining a visualization where the nodes would be the products at one store, the length of the vertexes the distance between stores. we would have a central node and then a color code for all the other nodes. Red if the price if the price is lower, green if it is higher. I have yet to figure out how I can apply the epidemic expansion model to this  however...Price Time Evolution : I also tried to see the evolution of the price for one product in time, however the data is not exhaustive enough to mine some interesting insight.Please , I am at my wit's end and I don't know what I can still dig from it. I've poured my brain juice in this and my managers are quite pleased. However they want more but I cannot seem to think of something else. It is the first time I am at my wit's end with data and I would hate to pull out the card of  the data has not that much potential as I have always hated to hear it from other kinda lazy seniors around me... For me data is life and life is data.Please help me!
Mining Data in Crowdsourced Price Data
data mining;preprocessing