Step 3 - Flow Data

CRM 7 Steps

Our clients

Annual Retainer since 2004
Annual Retainer since 2002
The Orange Box
Data Engine
Contact Management
Annual Retainer since 2004
The Orange Box
Data Engine
Contact Management
Supporter Relationship Management Console
Annual Retainer since 2009
The Orange Box
Data Engine
Supporter Relationship Management Console
Annual Retainer since 2007
Contact Management
Data Engine
Annual Retainer since 2005
The Orange Box
Data Engine
Annual Retainer since 2009
Data Engine
Supporter Relationship Management Console
Projects 2007
Annual Retainer since 2011
The Orange Box
Supporter Relationship Management Console
Communicator Corp voor Email Marketing
Annual Retainer since 2007
The Orange Box
Data Engine
Supporter Relationship Management Console
Annual Retainer since 2011
The Orange Box
Supporter Relationship Management Console
Contact Management
Annual Retainer since 2008
Data Engine
Annual Retainer since 2010
The Orange Box
Data Engine
Supporter Relationship Management Console
Annual contract since 2007
Contact Management
Membership and Loyalty Management
Annual Retainer since 2005
The Orange Box
Membership and Loyalty Management
Annual Retainer since 2005
The Orange Box
Data Engine
Projects 2008, 2009
Annual Retainer since 2009
The Orange Box
Data Engine
Membership and Loyalty Management
Annual Retainer since 2008
The Orange Box
Data Engine
Membership and Loyalty Management
Supporter Relationship Management Console
Annual Retainer since 2007
The Orange Box
Membership and Loyalty Management
Annual Retainer since 2006
The Orange Box
Data Engine
Annual Retainer since 2010
The Orange Box
Data Engine
Supporter Relationship Management Console

Sports Alliance Newsletter

Please add your email address here to subscribe

Testimonial

Head of Marketing

"The Orange Box implementation, with its integration, data management and business...

Supporter contact and transactional data flows to and from systems

Supporter data changes. Existing records are altered, and new records created. Understandably, the vast majority of these changes tend to be entered only once into one specific system. Copy-and-pasting these changes over into all other remaining systems manually would be a full-time job in itself, difficult to audit, susceptible to human error.

 

 

Automatic integrations offer peace of mind by:

  • Running overnight (every night), polling systems for recently added or altered data.
  • Bringing this data back to one centralised hub where new data can be compared like-for-like with old, changes audited and where one definitive up-to-date record can be compiled per supporter.
  • Delivering updates, where appropriate, back to the transactional systems, as well as the front end CRM and Single Sign On master databases. Different systems have particular quirks: inbound integration processes that translated data into one universal schema can be reversed to bring updates back to the source systems in their native schema.

Contact data kept synchronised across the Supporter Relations infrastructure guarantees the supporter is recognised equally on and by each system.