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John Newton Says, in 4-10-2007 at 20:16:54 from 193.123.234.232    
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Karthick Says, in 4-13-2007 at 19:49:26 from 203.91.193.50    

Apoorv,

Here’s my take on Convergence.

Convergence of ECM, Content Vs Process Centric BPM, Business Intelligence and Text mining.

Although still amateur in ECM space would like to share my thoughts on this.

Because of so many products with overlapping features it’s not an easy task to generalize which bunch of products will make the implementation better. Would like to cite few of my experiences on observing ECM systems and finally will relate my thoughts on convergence.

Products overlapping feature

In one organization CRM tool is used for Workflow and ECM is used only for Image Repository. In another org ECM is used for Image repository as well as in Customer Support. In the first one, metrics captured by the CRM system is used for BI and in the second one metrics captured by the ECM system is used for BI. Ultimately everything boils down to data.

Which product (CRM/ECM) doesn’t matter, but which data certainly matters.

Best Implementation

Which is the best ECM implementation? Is there anything? No, certainly not.

Although the products would have been selected after evaluation, debates cannot be avoided completely for not selecting the other product/s or design. Once a product is selected and implemented no one would invest in doing an introspection to find out what would be the case now, if we would have selected the other product/s and designed the IT system other way ‘n’ years before.

In the middle of the journey you will not really know whether the choice you had done on buying the product and designing the IT was the best/better/good/bad one. Probably few lessons learnt will be useful.

Difficult to say, this is the best ECM implementation.

How different is ECM from other Systems?

Take a payroll processing system, ERP, banking system, CRM the output from the system is some thing tangible. For example,

a) Take payroll processing system, Output could be a “Credit of 1000 USD” in your bank account – It never matters whether you are a knowledge customer or non knowledge customer.

b) ERP – A pie chart or a sheet giving you the inventory details in Black and White. Nothing fuzzy involved here. (Let’s keep aside complex things in this example).

C) CRM system: You might receive a greeting card delivered at your door on your birthday accurately. (Let’s keep aside complex things in this example).

ECM is some thing different. There is nothing tangible or nothing results in black and white as the output from the system.

• Content author, bit confused about the end user audience. There might be different end audiences with different opinions on the same content.

• More knowledge users are involved in working with the ECM systems, they want more flexibility and they hate adhering to a tailored process. Designing and implementing a workflow solution for knowledge users with lot of sophistication by considering the limitation that a product has is not an easy one.

• In the image capturing centre the end user’s awareness of the business has to be considered. Some organizations to reduce the man hours spent on indexing, they have one level of indexing at the image capture side. And further two more levels of indexing in the workflow application.

• Mostly it’s how the users (both internal and external) interpreting the content. End user’s culture and geography plays a key role to find the degree of acceptance.

• Information on demand: Stakeholders require information instantly. Classification of content and able to deliver the right content to the right user in time is a challenging one.

• Collecting metrics which is very critical for BI, is also based on end user’s experience is not a straight forward thing although it’s not unachievable.

Classification of content, classification of users, study on users based on the statistical data collected across different geography, rationalizing and sensibly managing the data across different systems and delivering the content/data according to the stakeholder’s needs are the key drivers for Convergence.

Conclusion:

Technology would not necessarily be the sole driver for this; IT will definitely complement the other disciplines in moving towards convergence.

Where to store, process and deliver which data (content) for what? And finally for whom and when?

If this is addressed clearly and achieved in an efficient manner within the window of opportunity then we are moving towards convergence in an implicit way. It doesn’t matter how many products and tools are being used, not necessarily with one can also be N.

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