Wednesday, May 7, 2008

Effective Filters

Sam Lawrence is searching for the new 'Inbox', bringing my attention to effective filters in a CRM 2.0 environment.

When a company implements a CRM 2.0 strategy and allows its customers to actively take part in the product life cycle and and development, there will be tons of feedback (if there is none, the strategy probably didn't work out too well...) that need to be handled. One of the big topics currently in the CRM world is Time To Market (TTM) and Total Cost of Ownership (TCO) which would both be negatively affected by this overload.

How can the amount of information be reduced but at the same time made sure that no valuable data gets lost or the customer experience is impaired?

The answer will probably be some kind of smart analytical CRM software that is able to sort, filter and route the right information to the right people in the organization.

So there is more to CRM 2.0 than implementing a platform for Web 2.0 applications. The 360° view was yesterday, now it is more important to filter than to collect. Smart suggestions (realtime recommendations) are an example that points into the right direction - give the users a guidance of what makes sense in a particular situation and what data is not important.

I will try to define the requirements for such a system in the strategy section of the site...

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  1. This entry provides good information. It provides addition information to this article I just read:

  2. The article about product life cycle is pretty good, it's a shame that you have to pay for most of the papers on this site...

    Wouldn't it be great to have a repository like this for free? Pretty sure there is something like this out there - I just need to find it :)