We’ve all heard it, to assume is to make an “ass” at of “u” and “me.” Making business decisions based on feelings, preferences, and observations are marred by biased assumptions. Strong businesses decisions emerge from fact; and there are no stronger facts than numbers. Quantitative analysis is essential to business decisions; it’s the power of numbers.
Quantitative Analysis – I have a simple process for performing quick quantitative analysis.
Step 1) Identify the Desired Destination – Know where you want the numerical data to take you, why the data will take you there, what the data can tell you, and how the data is working. Without knowing your destination, you may quickly get lost. Know your destination.
Step 2) Collect and Organize the Numbers – Finding the numbers is not easy. Choose whether to manually gather the data through surveys or to collect it from published (or unpublished) sources. If you encounter trouble collecting data, speak to a librarian (they are expert data gatherers and can be your best free resource). Once you have your data, organize it properly and you will get to your destination efficiently. Organizing your data can be as easy to choosing the order of the columns or as difficult as creating tables within Excel.
Step 3) Manipulate the Numbers – Now that the collected data is organized, can you get to your destination with the data in its current state? If not, then figure out what needs to be done, and do it. Make sure you don’t ruin the value of the numbers with your manipulations.
Step 4) Get the Facts – Use your answer to the question, how is the data working to get to your destination?, to apply calculations to the numerical data (collected & manipulated). The results will provide you with facts. These facts will be used to make your decisions.
Step 5) Don’t Take the Results for What They Are – Finding patterns in large outputs is like searching for a needle in a haystack. The output of facts may seem sufficient to make your decision, but pictures tell a thousand words…
Step 6) Graph the Results & Make the Decision – Graph the outputs. Graphical dashboards are valuable components of decision making because they show patterns that one might miss by just looking at the raw numerical facts. More outputs produce more factual support, but also more data and better graphs. Better graphs produce easily interpretable facts, which are used to make strong concrete business decisions. The graphs accurately get you to your destination.
Again, this is a simple process I use to make concrete business decisions. In the context of more time, resources, and risk, I would apply statistical and economical regression and forecasting to make stronger factual business decisions. The importance lies in using numerical data to provide factual insights in making business decisions, demonstrating the power of numbers.