3 Ways Business Intelligence Tools Can Eliminate C-Store Analysis Impediments

3 Ways Business Intelligence Tools Can Eliminate C-Store Analysis Impediments


If you read articles in the C-Store Industry journals or magazines it is hard to find an issue without some sort of mention on the value of analyzing your data and using it to drive your business.  A lot C-store operators feel like they have so much data it feels like a Big Data mountain to climb in order to just get started. Worse, there is a back office system and a host of Point Of Sale data sets that must be navigated before they can even start looking for the type of data they want to analyze. Without a dedicated resource, it can just be too overwhelming to find a set of data in order to get started. Because of the time involved, the general trend is to just not do it.  In the place of analytics, instinct and experience are used for problem identification and resolution. This works well if you know the problems, and have a process to address them all. However, with the increase in the size of operations, the number of problems increase and the ability to monitor solutions becomes more time consuming. In short, the first step in analysis paralysis creation is just the fact that many do not know how to begin.  Preventing a C-Store company from going into this analysis paralysis is probably the most obvious value attributed to Business Intelligence software. It is also the one thing that can let them know they are running  at optimal efficiency.  There are three key areas where they hold the most value. There are three key areas:

  1. Seeing a problem quickly is a big reason all by itself

The analysis and correlation of data is done for you saving your time for more productive activities.  As an example, let’s look at a daily report where sales are lower than you expected.  Your first instinct may be to look at the Customer Count in that store for a day.  When you do, you find that the count was actually higher than normal, which leaves you scratching your head.  So, you go to another report such as inventory levels,  or perhaps voids and returns, and maybe even time sheets to see who was on staff at the time.   You hop from report to report to see where things went wrong.  After an hour or so, you may find that the reason was because the average transaction amount, or basket size, was lower than normal.  So what you ultimately discover after an hour has passed,  is that you need to find ways to increase the average transaction amount to realize the value from the increased customer count at that store.  When you multiply that effort and time by the amount of stores you are managing, you can begin to see where instinct and experience would be considered, good enough. This describes one of the core values of the Business Intelligence tool.  It saves time.

  1. Finding the subtle Issues that are happening over time  

Some problems are quick an easy to spot, such as no sales spiked due to a bad cashier. No trending is needed.  You can just look at the numbers. Other problems are much more subtle and need more data points to see. For example the daily cycle of many stores means that a daily comparison over time shows that there may be a nice 1% increase in certain sales over the last few weeks. Conversely, you may see that a new store is not growing fast enough week to week to meet your plans for the year rate of sales.

By analyzing the many aspects that are involved in a C-Store, Business Intelligence tools can tell you how to optimize your revenue. Most have trending capabilities where you can look at results over time.  This will tell you when to order, what staff levels are needed when and when you may want to increase your marketing through out the year.  You can reserve money when you can and only spend it when you need to.  Yes, this by far is the most time consuming piece of analysis because you are looking at a large variety of data over time.  There are many reports that have to be pulled together and plotted to show what is happening over a time line.  Instinct may tell you to keep Kerosene levels low and Propane high in the Summer, but it may not tell you to order less snack food or health and beauty products at that time.  Trending shows you the patterns of performance. They show you when they peak and when they fall throughout a given year.  Even having a person dedicated to this type of analysis may not gather it all.  This leads us to the third reason why BI tools are needed in a C-Store company

  1. Nothing Gets Missed or Forgotten 

One of the simple benefits of a BI program is just making sure a regular review of objective data is taking place. Some simple benefits occur when the analytics require timely input of daily results. Just having stores post regularly and review the key measurements each day provides a cadence of accountability that sets the tone for even better results as the analytics show areas that need attention.

Business Intelligence is a matter of monitoring all aspects of one’s business and showing different views of it, in smaller doses, so they can be comprehended.  Through a few clicks, one can find the proverbial needle in the haystack.  Good ones will have alerts and alarms to notify you when something is in decline that you may or may not watch on a daily basis.  It lets you know as soon as the decline begins to offset problems early on.  These tools watch numerous aspects that impact your business.  They allow you to focus on the larger drivers of your revenue while only letting you know about the smaller ones  when they need attention.  By watching these smaller details, many of the larger ones can be prevented.

C-Store companies are very fortunate in that they capture all of the data they would ever need in order to drive their business upward.  it is vast, updated daily and covers all aspects of their business.  With a good BI tool, decisions can be made on factual information, trending will help them know where money can be saved and costly issues can be stopped as they start. Business Intelligence tools are what make the use of  their data practical and possible.

 

 


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