Data management

Data management is an ongoing process that starts with the data you use to initially build your system and must continue from there.  Policies and processes you implement should work to eliminate waste and enable the smooth and efficient operation of your business.  Good data underpins every business activity from human resources to billing and fulfillment.

Sending an invoice to an old address could mean payments aren't received.  Acquiring data that mirrors the existing contact details you have for a customer could effectively double the cost of mailing - or more.  The data on which your business runs needs to be managed on an ongoing basis.

Data management solutions help you enable your business plan objectives. The diagram below shows the processes involved in an iterative data management solution. Critical factors - ownership, acquisition and cleaning - all enable the achievement of strategic objectives.

Data Migration

Getting your data from old systems into your new system easily, quickly and completely is critical to minimizing down-time. Products like CRMMigrate and  Inaport can assist in this process.  Incorporating data cleansing using Paribus will help increase initial productivity and user acceptance while reducing costs.

Batch Imports

Batch data processing enables high speed data migration and reformatting. Products like Inaport reduce infrastructure costs by integrating data silos. Paribus integrates with Inaport to deduplicate data being migrated into and out of a database.

Data Insert

PowerEntry enables the creation of high quality Account and Contact records through user-entry and provides the means for users to check for duplicates before adding data. Address verification and standardization products like MailRoom Toolkit or QuickAddress Pro, integrated with PowerEntry, allow you to validate addresses against certified postal information at point of entry.

Data Cleansing

Paribus matches and consolidates data anywhere in the business to eliminate waste and increase productivity. Auditing and cleaning data, to maintain high levels of data quality, are key elements in a strategy for data management.