When it comes to having a full fledged developper stack to take your analysis to the next level, its not about tools only, but which tools are the most impactful when automating and sharing analysis for decision making or analyzing risk on projects and business operations. 

The Need for Speed 2019 study compares Excel Add-in based modeling using @RISK and Crystal Ball to programming environments such as R and Julia. All 3 aspects of speed are covered [time-to-solution, time-to-answer and processing speed] in addition to accuracy and precision.

Whether you are a businessman or a practicing professionals such as an attorney, a doctor or a consultant, the ability to ask the right questions is imperative along with the ability to capture the information that is important when an answer is provided. Sometimes knowing where to start is the toughest aspect of solving a problem. Usually a sound approach is breaking out complex problems into smaller more manageable components; as the old adage goes “Do you know how to eat an elephant? One bite at a time!” Check out how to break-down tough problems by following the simple 5W question framework.

Perceptions and popularity of analytics technologies over time

Will machine learning be the dominant technology focus over the next 2 years?

While doing some market analysis, we decided to take a look at how search terms were being used in Google around the world as they related to advanced analytics technologies. We picked five terms to compare over five years: risk analysis, big data, machine learning, Monte Carlo method, and forecasting. We then proceeded to download the data and apply some quick and dirty forecasting to see what would happen to the popularity of the search terms overtime.