Advanced and Predictive Analytics

Predictive_AnalyticsTraditional business intelligence applications are typically designed to provide  information in a pre-defined form via reports or dashboards or to answer specific questions posed by the user using interactive query tools.  Advanced Analytics solutions go beyond these capabilities to reveal insight and knowledge from your data where the problems being solved are more complex.

Predictive analytics is a branch of advanced analytics which helps your organisation predict what will happen next so that you can make smarter decisions and improve business outcomes. Some common examples of this type of analysis are:

  • Churn Analysis – Calculate probability of customers leaving based on current & historical activity.
  • Fraud Analysis – Identify potentially fraudulent claims to direct investigations intelligently.
  • Credit Risk – Assess risk of default during the loan application process.
  • Predictive Maintenance – Intelligently schedule maintenance activity to reduce failures & costs.

The DOT Group can provide simple to use and powerful tools for on-premise Predictive Analytics solutions via IBM’s Predictive Analytics portfolio.  We are also able to provide specific solutions fully integrated with your business through a SaaS model with our partner Blue Yonder.

White Papers
Seven Reasons why you need Predictive Analytics