Predictive Analytics Techniques That Are Easy Enough for Business Users!
There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them. If you are taking on an advanced analytics initiative and you want to leverage data democratization to cascade data analytics and data literacy throughout the organization, you will need a data modeling solution that takes the guesswork out of the process.
Business users do not need to know how Predictive Analytics works to achieve their goals. What they need are simple, sophisticated tools that help them analyze data, create reports and share data with other users without knowing the data science behind the process. Business users need Assisted Predictive Modeling that can make suggestions on which algorithms and techniques to use for a certain type of data.
These self-serve Predictive 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. 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.