As data is continues to grow at an alarming rate, the race is on for companies to harness insights developed from it. T o realize and monetize the value of data science, organizations infuse predictive findings, forecasting, and optimization strategies into business and operational systems. A typical process for a data scientist or citizen data scientist starts with understanding a business problem and moving through multiple steps before getting the final result. Here is a snapshot of what the process looks like: Reducing Time to Data Preparation and Analytics for Machine Learning Fast track data from preparation to machine learning and analytics.

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