5 Techniques for Optimizing CRM Data


The data explosion and subsequent mash up of mis-aligned information has led to the biggest area of frustration for users and probably the top reason why CRM programs flounder.

5 Pitfalls of Do It Yourself CRM Trials


Free Demos often concentrate more on how fast you can copy over what you are using now e.g. an excel spreadsheet as opposed to identifying the objectives you need to drive results. CRM changes everything: without changing your process and updating objectives is this the reason for the epidemic of such low CRM success rates?

Everybody’s got a spin on Social Networking and how to do it.


If relationship marketing is important to your organization, managing and collecting social network data and transposing this into your CRM program is radically different from the traditional historical based ‘interaction-transaction’ type recording.

CRM Adoption: Simplify for maximum impact.


The job of modern selling now demands a number of practical skills, CRM is one of them. Here are some ideas at how MosaicCRM makes CRM a more harmonious tool more in sync to how people sell, and what they need to sell, to improve adoption success.

Does your CRM do this? Tips on CRM Planning


If the objectives, sales organization and company culture are not sufficiently articulated in the CRM planning process, not surprisingly it won't be in sync with the CRM program. That is a problem and one you don’t want. Take a look at 4 Tips on Pre-CRM Planning that will help avoid the pitfalls!

The Alchemy of CRM


Alchemy was the medieval attempt to turn lead into gold.Modern CRM isn’t so different: data bases follow the alchemies operation of separating the ‘the prima material’ or so called chaos by taking this unstructured data and putting it into a structure to capture, index and store it.

Bias plays a huge role in sales predictions.


CRM analytical data is rarely configured for optimal ‘bias’ applications e.g. learning what customers want to buy at this very moment. CRM data is often seen as information overload when in fact just the opposite is true.