Predictive Analytics for Business Users = Assisted Predictive Modeling!
Are you tired of using guesswork and opinions to make business decisions? These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. If you are to be successful in business, you must be able to look into the future and plan for customer demand, new suppliers, inventory needs, financial investment, training and resource requirements, business locations, competitive response, pricing, new products and changes in customer buying behavior – just to name a few considerations!
Predictive Analytics is crucial to your organization and these types of analytical tools should be available to all your business users so they can participate in forecasting and planning and use their business domain knowledge to refine plans and forecasts so that they fit with the overall goals of the organization sand with their business unit or department.
Your business users do not need to have the skills of a data scientist or an IT staff member in order to do this work. With Assisted Predictive Modeling, a business user with average analytical and technical skills can leverage auto-recommendations and auto-suggestions to select appropriate predictive algorithms and apply predictive analytics to any use case using forecasting, regression, clustering and other methods so users can 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 want to improve your planning and forecasting process and engage your business users to identify future opportunities and issues, we encourage you to Contact Us to find out more about the benefits of Predictive Analytics Tools.Share