Free Trial


First Name

Last Name


Job Title

[ Different Image ]
Where Instinct
Meets Science

With Insight! predictive analytics
does not have to be reserved for scientists and analysts

Insight! Takes business modeling to new heights:
  • Use historical data to predict future outcome and to model business scenarios
  • 100% point-and-click interface takes the mystery out of data mining
  • Access enterprise databases or Excel spreadsheets, or combine them
  • Affordable price point starts as low as $1995

Insurance Data Warehousing

In today's harsh economic climate failure is a risk that all businesses are exposed to. Not having the ability to react to the market fast enough or at all can force a business to downsize or completely shut its doors. One of the most competitive markets that have to deal with this reality is the insurance industry. Not only do insurance companies compete with one and other, they also have to deal with fraudulent claims and often times court cases that could potentially cost millions of dollars in revenue. Insurance data warehousing can be the solution to both battling fraudulent claims and competing in the market.

Using insurance data warehousing

Traditionally insurance data warehousing covers how companies handle their data and claims on a lower lever to provide employees with all the information they need to manage claims. Another aspect of insurance data warehousing is to provide the insurance group with a simple system that stores all their historical data into one warehouse, which can be accessed to analyze business issues such as risk factors, customer loyalty, productiveness, and gauging market share penetration. Insurance data warehousing is a very large part of how insurance companies operate.

What insurance data warehousing can do for the business

Insurance data warehousing allows users to bring together all aspects of their business for quicker and better reporting and analysis. There are roughly five different aspects that most insurance companies utilizing insurance data warehousing are deploying: Customer management, business process improvement, predicting the market, efficiently reacting to the market, and risk management. While these are critical reasons, they are not the only reasons for insurance data warehousing.

Insurance data warehousing, customer management and business improvement

Insurance data warehousing gives insurance companies an insight into what their customers want and need, and how to give that to them in the best possible manner. Customer management gives the user an opportunity to identify whether or not their customers are over satisfied or unsatisfied with their claims. Is the customer to remain loyal based on their experience? Business improvement can offer the company and insight into why their customers are happy or unhappy with their experience. Insurance data warehousing can provide valuable information on how the operation is being run and executed, if not run or executed properly the insurance company runs the risk of losing customer loyalty.

Agile insurance data warehousing

Because of the challenging state of the economy and stiff competition, more and more insurers are depending on insurance data warehousing to understand and manage their business. However, having a traditional data warehousing system in place is no longer enough in this uncertain economy. Insurance data warehousing has to be agile so that insurance companies can react to the market or any situation with speed and efficiency which is crucial in today's market. This agility is a new aspect of insurance data warehousing.

Application Integration
Call Center Data Integration
Customer Data Integration
Data Integration
Data Integration ERP
Data Integration Tool
Enterprise Application Integration
Enterprise Data Integration
Software Data Integration
SQL Data Transformation
Software Data Integration
SQL Data Transformation
Data Conversion
Data Conversion Outsourcing
Data Conversion Services
Data Conversion Software
Data Synchronization
Data Transformation
Data Mapping
Agile Data Warehousing
Benefits of data warehousing
Data Warehousing Advantages
Data Warehousing Book
Data Warehousing Case Study
Data Warehousing Company
Data Warehousing Design
Data Warehousing Development
Data Warehousing Examples
Data Warehousing for Dummies
Data Migration
Data Warehousing Methodologies
Data Warehousing Projects
Data warehousing systems
Data Warehousing
Data Warehousing Software
Define Data Warehousing
Definition of Data Warehousing
Future of Data Warehousing
IBM Data Warehousing
Insurance Data Warehousing
Introduction to Data Warehousing
Real Time Data Warehousing