What We Do
At Johnson Data Solutions, we specialize in providing small businesses with advanced analytic tools to automate processes, make data-informed decisions, and optimize decision-making. By working closely with you, we develop customized solutions that give you a competitive edge and boost confidence in your business strategy.
The Power of Data
“Without data you’re just another person with an opinion.” Dr. Edward Deming - Statistician, Professor, Author, and Consultant
“Data are becoming the new raw material of business.” Craig Mundie - Former Chief Research and Strategy Officer of Microsoft
“It is a capital mistake to theorize before one has data.” Arthur Conan Doyle - Author of Sherlock Holmes
“The goal is to turn data into information, and information into insights.” Carly Fiorina - Former CEO of Hewlett-Packard
“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” Jim Barksdale - Former CEO of Netscape
“Some of the best theorizing comes after collecting data because then you become aware of another reality.” Robert Shiller - Economics Nobel Prize Winner
Our Mission
Johnson Data Solutions aims to help every small business thrive by using their own data to make more informed business decisions.
How Data Can Be Used
To begin analysis, a data set is created by combining internal data (sales, expenses, web traffic, inventory, marketing, etc.) with external data sources (unemployment, weather, stocks, interest rates, etc.). This data set provides a comprehensive view of your business and its operating environment.
There are different types of analysis that can help small businesses make informed decisions. The Garner Analytics Value Escalator is a widely recognized model that starts with descriptive analytics, such as simple visualizations of past and current performance. Moving to the right, mathematical operations are applied to add value to the initial data set. At the far right, predictive and prescriptive analytics are applied using machine learning and other statistical methods to provide the most value. These solutions can include personalized pricing suggestions, optimized supply chains, cost-effective production methods, maintenance recommendations, and more, depending on the specific business problem.
Descriptive Analytics
This is where most businesses start. Descriptive analytics is the use of data to understand past and current business performance. Example: Charts reporting past and current profit.
Diagnostic Analytics
Diagnostic analytics gives the reason why something happened. Example: Mathematically explain/correlate why business performance fluctuated (weather, unemployment, seasonality, etc.)
Predictive Analytics
Using historical data, detect patterns and relationships that can be used to extrapolate forward. Example: Predict sales based on a given pricing decision, trends in the economy, and the season.
Prescriptive Analytics
Identify the best course of action to optimize an objective using historical data and mathematical methods. Example: Maximize revenue by finding the best mix of pricing options given uncertainty in the economy and seasonal performance.