Advanced & Predictive Analysis

Advanced analysis gives power in hands of business users and information analysts to full investigate any corner of the data warehouse to find out the details behind specific performance outcomes. Such requirements usually exceed the limits of OLAP Analysis. Predictive analytics encompasses a variety of techniques from statistics, data mining and game theory that analyze current and historical facts to make predictions about future events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions. Predictive analytics is used in financial services, insurance, telecommunications, retail, travel, health care, pharmaceuticals and other fields. One of the most well-known applications is credit scoring, which is used throughout financial services. Scoring models process a customer’s credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time.	Why CRMT CRMT is helping organizations to find hidden treasures in the data with predictive analytics. Churn prediction, fraud detection, marketing augmentations are just a few areas of expertise.
	Technologies Microstrategy Unica
	Selected Customers Allianz Si.mobil T-Mobile Zavarovalnica Maribor