Friday, August 23, 2013

1993 - Not so small revolution


In 1993 Thomas Siebel and Patricia House founded Siebel Systems, Inc.

Forward 20 years and here we are:

-       Siebel CRM:

o    Oracle's roadmap for Siebel CRM is already announced.

o    More than 3.000 organizations use Siebel CRM.

-       Siebel Analytics (now known as OBIEE) is considered a reference within Business Intelligence products, as Oracle's standard Business Intelligence product.

Within IT industry, that means for me: not so small revolution.

In 2004 began my particular Siebel journey thanks to Deloitte and until now I have worked closely with Siebel products. Currently I still struggle to get the concepts that are incorporated into each Siebel releases (in other words: within Siebel, new technologies are being continuously improved). 

So what makes Siebel CRM or Siebel Analytics so successful should be considered exhaustive, anyway let me explain the conceptual overview of what really fascinated me.

1.     Business logic layer

Siebel CRM is a consistent way to record and Siebel Analytics is a consistent way to provide information, both products include predefined modules such as Energy, Public Sector, Loyalty, Order Management and so on. Both products separate each layer:

-       Physical layer: Contain the definition of the relational database.

-       Business logic layer: Contain the abstraction layer of the business.

-       Presentation layer: Contain the end user interface.

I was so impressed when I find out the abstraction of the Business logic layer. To be concrete, Business entities are customized within Business logic layer. In this way, Siebel provides several resources (such as the usage of user-properties based on classes or the incorporation of additional code into Business Component events) to enable particular customer requirements that predefined entities doesn’t include. 
 

2.     Operational vs Analytical:

At high level, in this point there are two main concepts involved: Operational environment and Analytical environment.

In this scenario, the analytical environment builds consolidated information from more than one source.

On that basis, I was really fascinated as soon as I realized that depending on physical layer configuration, Siebel analytics (OBIEE) is able to provide not only Analytical dashboards (operate in data collected over time, insights into historical data), but also Operational dashboards (operate in real-time, insights into current performance).

To sum up: It’s an asset that the Analytical environment contains Analytical and Operational dashboards, depend on the purpose of the dashboard. In order to be efficient, effective and also identify issues before they become problems.  

Finally, let me say that I really think that a way to evolves is incorporate into Siebel Analytics (OBIEE) statistical modules, conceptual functionalities that nowadays provide software such as SPSS, for me currently OBIEE and IBM SPSS are complementary (have an eye to: Can't see forest for the trees ).


Best wishes.

Joan Martí Peraire.
(Industrial Engineer)