Transforming your syndicated data into business insight
According to the dictionary, the price of something is “the sum or amount of money or its equivalent for which anything is bought, sold, or offered for sale.” Pricing is one of the “4 Ps” of marketing that we learned about in school (along with Product, Placement/Distribution and Promotion) and is often a key driver […]
A common question that arises, especially when your company is new to syndicated retail sales scanner data, is “how come IRI/Nielsen sales data is different than our own shipment data?” This probably comes up most often in the context of forecasting, when you are trying to determine if you are going to “make the numbers” […]
A product’s attributes are what makes it distinct from other products. Attributes include things like size, color, flavor, package type and other features that are relevant to the category. From a consumer perspective, these attributes are what determine the consideration set and influence the ultimate purchase decision. From a retail perspective, product attributes help define […]
One of the most powerful graphs is the line chart. Line charts allow you to: Decode underlying trends over time Compare trends for different products or markets Explore relationships between different measures In addition to making it easier to see trends, you will typically use a line graph because there’s just too much data to […]
The bar chart is probably the most commonly used type of graph and this post talks about what kind of data this works well for. In this post I’ll talk about using bar charts to compare various products and geographies but for one fact and one time period. This is part of a series of […]
Here’s something fun that I came across this week, as movies were in the news due to the announcement of Oscar nominations: Click here to see Famous Movie Quotes as Charts, from the website Flowingdata.com (January 16, 2014). Note the wide variety of graph types used! This shows that you don’t have to have numerical data […]
