Business Users Get Instant Help with Machine Learning and Predictive Analytics!
Here’s some good news! If you want to predict or forecast results for your business, you don’t need to be a data scientist, a statistician, a business analyst, or a rocket scientist! Today, augmented analytics solutions provide all the help a business user will need to gather data, prepare it for analysis and then choose the right algorithm or analytical technique to analyze the data and get clear, easy-to-understand results.
Developments in machine learning and advancements in Augmented Analytics provide guidance, auto-suggestions and recommendations that give the business user the best technique for what they want to achieve. Predictive Analytics for business users leverages machine learning and Assisted Predictive Modeling to help users achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze. With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists.
These tools allow the organization to apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.
With the right assisted predictive modeling tools, business users will not be shy about adopting and leveraging tools. They will see clear results and be able to make decisions, test hypotheses and theories and mitigate risk for the organization. Machine learning technology takes the guesswork out of predictive analytics and forecasting. Let the system do the work so you can focus on outcomes and results.
Do you want the benefits of Predictive Analytics? Look no further!
Original Post: Leverage Machine Learning for Forecasts and Predictions!Share