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Loading ...This post has been contributed by Ankit Gupta a friend who is currently working in Siebel Analytics. This post contains an overview of Siebel Analytics and concepts like Data Wharehousing and ETL.
The term Analytics mean a branch of logic dealing with analysis. So we can safely assume that Siebel Analytics means branch of Siebel dealing with Analysis. Siebel has always been transactional application and it is very difficult to do analysis of data that is residing in Siebel. Just to give you an example of what I mean.
Suppose a sales manager wants to know that:
How many opportunities in the last 3 months, from US Region for Product A, have a sales figure of over 3 million dollars?
I don’t think there is an easy way to get this kind of data in Siebel easily and this is just very small requirement that a sales manager might have it can get very complex easily.
This is where Siebel Analytics comes into picture. It is a wrapper over Siebel Application.
Siebel Analytics allow an enterprise to measure and evaluate business performance across customers. It helps in analyzing past, present and future opportunities with the help of Dashboard Reports to determine actions required to meet the sales targets. With the help of Dashboard reports we can determine which products and customers are generating most revenue.
For understanding Siebel Analytics in more depth one has to know the basic difference between OLAP and OLTP.
OLTP stands for On Line Transaction Processing:
OLAP stands for On Line Analytical Processing
The data available at transaction side (Siebel Application) is OLTP and when that data is moved from transaction side for analyzing (Siebel Analytics) that becomes OLAP data.
OLAP brings into picture the concept of Data warehouse.
Data warehouse is a Relational /Multidimensional database that is designed for query and analysis rather for transaction processing. A data warehouse usually contains historical data that is derived from transaction data.
Another important concept when we are talking about to Siebel Analytics is ETL.
ETL stands for Extract, Transform, and Load.
ETL is a concept that enables businesses to consolidate their disparate data while moving it from OLTP to OLAP and it doesn’t really matter that that data sources are in different forms or formats. The data can come from any source such as Oracle, SQL server, flat files, CSV etc
One important function of ETL is “Cleansing” data. ETL consolidation protocols also include the elimination of duplicate or fragmentary data, so that what passes from the ‘E’ portion of the process to the ‘L’ portion is easier to assimilate and/or store.
Such cleansing operations can also include eliminating certain kinds of data from the process. If you don’t want to include certain information, you can customize your ETL to eliminate that kind of information from your transformation. The ‘T’ portion of the equation, of course, is the most powerful. ETL can transform data from different sources.
For Example: – Data in an Oracle CRM could be transformed right along with data from an SAP Marketing application, with the result being a common data from both the application.
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Hi, I am searching for Siebel’s data-warehouse integration capabilities.
Is bulk unload supported, if positive from which tables? For less source interruption how only changed data can be captured?
I saw Oracle’s 11g warehouse builder has a new feature for integration but couldn’t test it until now.
This article was very helpful.
Thanks
Wow this article was amazing , hey kindly keep up the good work
Thank you so much for this article!
I’m completely new to Oracle, Siebel, and right now I’ve been searching for information on Siebel CRM and Siebel Analytics. You gave me a much better understanding of how both systems work together.
Many regards.
Hi Ankit,
I was searching for long time, a information which could explain Siebel Analytics to Siebel toddlers like me and ur article is exactly what I needed to start mu journey in Analytics..
So keep up the good work ..
keep posting
Thanks Guys…will keep posting
thanks for ur information
Amazingly short and crisp. Can we get something more related to Siebel Analytics.
Hi,
This is a very useful article indeed I am looking forward to detailed articles dealing with various areas that you have mentioned in you article
Hi,
The information given by you was really very clear for a beginner like me… It was really helpful…
Thanks a lot for your information
Hey Ankit,
It’s been quite a long I am out of touch of analytics, and I needed an overview to kick off, your article has done exactly the same … thank you buddy
This article has really added a value to my little knowledge about siebel analytics. Reading this article wasnt a waste of time. thanks.
Thanks for the overview of Siebel Analytics, it was informative and helpful.
Hi,
Thanks for posting very useful information.
I am about to takeup Siebel Analytics can you please helpme with some useful websites or study material(softcopy.
Thanks & Regards
Surya
suryasonline@yahoo.com
thank you very much for providing these information.
Hello ,
Currently I have to explore Siebel Analytics , So can i get demo version setup of Siebel Analytics.
Please reply ASAP.
Danish
The information provided is phenomenal from a beginnners perpspective.
Thanks and Regards
Neeraj Kumar
Hi,
Thanks for your posting, it is very helpful for the beginners like me. I am looking forward to Siebel Analytics. I have no idea about Siebel Analytics. well I am an Informatica Developer. I wanted to learn Sibel Analytics, could U pls give us what is Siebel Analytics, How it is useful for any organization, what are its functionalities and capabilities, how to start, where to find the software from…. etc.
Thanks
Kalycs
kaleem.informatica@gmail.com
Thanks for the nice and use full article…
Very valuable for beginners to get an idea about Analytics and relation with Oracle and its components
Hi TongucY
Change data can be captured with the concept of Image Tables .
Thanks
Ankit
Hi Ankit,
The information / article given by you looks very clear for a beginner like me… It was really useful and helpful…
Thanks you for your article. Pls continue to posting such informative posts.
Regards
Hi,
Nice article…for Beginners…
Regards,
Ulka
Hi very informative
This Article is very usefull .keep posting
Hey,
Its a very good and simple Article whcih gives lot of Information over Analytics. Its a very good Fundamental.
Thanks alot,
Taj.
Hi Ankit Gupta
Excellent article giving fundamentals of different Tools in a concise and easy way.
Thanks a lot. it gave a good idea for me. i am basic level for IT and Siebel.
Simple and easy explanation, thanks.
This is really excellent way of briefing with an example. Thank you very much.
Hi ankit,
thanks a lot for this post as i tproves to be very helpful for me coz I joined my new organization where Siebel Analytics is used. very helpful for clearing concepts between OLAP,OLTP and Data Warehouse.
I like this post, it make me have a look about Siebel Analys
Wow. This article is ultimate. A brief overview which covers all the basics of Analytics which i didn't had to get from the Oracle Documentation. Way to go!!!
Very informative and clear concepts.
It is help full the persons who want to know about Siebel Analytics