There are many pressures in making decisions based on Information you are working with and the
demand for making decisions quicker is always a challenge. It is true there is a high cost of testing for
reliability and competition for getting your product in the market place as soon as possible as this is
what gives the company a competitive edge and when you work for the largest retailer in the world
the competition is always a concern. As customs change the way they shop companies must change
the way they sell and getting the product in the market sooner could mean better and quicker sells of
the product, and possibly even win customer’s loyalty.
Analyzing the data provided helps make the decisions as what product will sale, what the sales
will be, how quickly the product will sale, and what the price of the product should be. It is always a
trade-off between analyzing the data to make a decision and making a quick decision to beat the
competition. I don’t think that it is always easy but it comes to what the overall goal is and what the
risk of the quick decision could be if the decision doesn’t equivalent the sales. There are many other
factors that are also taken into consideration of moving a product or doing the research of the product
before moving it to market to beat the competition. There is really no right or wrong answer this
scenario is all about strategy and what quick and efficient analytics you can obtain very quickly to
support their decision to take the product to market to beat the competition. In some instances the
risks will out weight moving the product to market, therefore more analytics maybe required to come
to a final decision. I don’t thing either answer is correct, it’s all about strategy at the end of the day.