Predictive Analytics That is Easy Enough for Any Business User!
Predictive analytics may seem too complex for business users but with advanced technology like machine learning and features like assisted predictive modeling users can dive into the process without the skills of an IT professional or a data scientist. Assisted predictive modeling frees the user by providing system recommendations that will suggest the right analytical technique and achieve the best fit for what the user wants to do, ensuring 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. The enterprise can provide the tools needed at every level of the organization with tools and data science for business users that are sophisticated in functionality and easy-to-use for users at every skill level.
These augmented analytics 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.
If you are considering an augmented analytics solution, your requirements should include assisted predictive modeling. The benefits of this approach include:
- No complex algorithms or data manipulation
- System generated auto-recommendations for algorithms to explore underlying data
- No advanced data scientist or IT skills required
- Users can analyze, share and optimize business potential and productivity
- Users can prototype and hypothesize without professional assistance