All companies in this economy use more than one system to manage their business, as a result different systems have different information related to the customers and their transactions. It is a very difficult task to get a list of unique customers with a unique identifier, which can uniquely identify the customer and contacts associated with the customer. There is no easy way to find out what all relationships you have with the customer, the same company can be a vendor but also a customer. How to get a list of all transactions from all the systems available within the organization for a particular company that you deal with irrespective of the type of relationship.  The answer to all the above is our software solution called “Customer Intelligence Factory”, as the name says it all. This software solution makes it possible for companies to find hidden intelligence in the tons of customer, contact and transaction data. The solution makes it possible to create a list of unique customers and contacts from the huge list of duplicate customers and contacts data from various source systems. Here are some features of our solution, as you are reading this we are enhancing the application and new features are being added to it.  Customer Intelligence Factory Features 360 degree views of your customer base, which can be grouped together based on customer classification, geography, revenue from customer etc Look at relationship between unique customer data and data from different source systems User configurable dynamic RFM analysis (modes available auto, manual), monetory and frequency calculations can be configured. Average and total based modes for monetory and frequency calculations. Auto mode applies equi width histogram technique for modeling. User can define his own criteria in manual mode.at relationship between unique customer data and data from different source systems Dynamic RFM model application on your customer base giving you the insight into your customers how they are doing. Classification of customers based on RFM score. RFM Migration analysis giving you the information how your bad customers are becoming good customer and good customers becoming bad customers over time. Integration of customer data with DNB data to give more insight into customer base. Integration of customer data with third party data like data about the competitors who are serving your customer. Dynamic revenue calculations based on user configurable settings for Sold to, Ship to and bill to sites, and complex analytics based on the revenue data. Cumulative distribution calculations for revenue and orders (associated to sites) at quarter level. Complex data overlays based on site, revenue and other important attributes, DNB based complex data overlays are also possible. Promotion management. Auto email to selected contacts (based on complex data overlays) with attachments. Revenue and order analytics by site, city, state, zip, territory, country and line of business. Association with transactional data from various source systems (from which customer data was extracted). Rollup of customer transactional data based on DNB hierarchies. The software also has various cubes that can be used with any OLAP tool to do reporting.