The Siebel Repository
From a business process perspective, your Siebel repository represents the pillar of your front office system. And, if you’re like most organizations, it constitutes the majority of your investment in your Siebel implementation.
Siebel repository data, like business data, is a managed data set. Every change increases the complexity of the repository. If left undocumented these changes increase the cost of system maintenance and negatively impact system upgradeability.
Up until this point, repository management has been a costly, labor intensive process. As a result, most organizations opt to forego the effort and then absorb the impact of thousands of additional development hours and hundreds of thousands of dollars in unnecessary costs
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The Challenge
Over time, all organizations that use Siebel have to address the challenge of repository management. The most notable point in time when this challenge must be addressed is just before initiating an upgrade cycle. However, this issue exists on a 24x7x365 basis. If you’ve just completed an implementation, if you’re just beginning a new implementation phase or you’re trying to do your budget planning, the following questions exist:
What has been implemented in our system? Is our repository highly customized? What within our repository is purely custom implementation and what has been customized? How much knowledge capital regarding our system have we lost over time due to employee or consultancy turnover? Are our users fully utilizing the functionality that's been provided to them? How do we identify what needs to be upgraded and what does not? How do we accurately budget for our next upgrade? How can we lower our long-term total cost of ownership? Our Solution
Our engineering staff has developed the tools to apply data mining techniques to your Siebel repository. Using our Nous data analysis engine, we take a "top down" approach to analyzing the data in your repository relative to a vanilla baseline. The process starts with the user interface, as defined within your responsibilities, and works its way down through the business layer to identify Siebel Repository objects that are in use and/or have been modified since the initial Siebel version release. Based on this data, we then categorize the objects as vanilla (not modified), customized or custom and consolidate the data into one of two reports depending on your need - either a pure repository report or an upgrade analysis coupled with our proven budgeting metrics.
The benefits to our approach include:
The ability to answer all the open questions we posed earlier - accurately, efficiently and cost effectively. The ability to proactively manage your repository instead of reactively managing it. We fully account for what is actually in use by the end users - not just what has been customized. The ability to apply proven metrics to the repository objects so that your upgrade budget is based on fact instead of supposition. When coupled with our upgrade methodology, it provides a well defined upgrade roadmap. The findings and recommendations are based on our extensive experience in performing Siebel upgrades.The major costs and inherent risks to a system management effort, a new implementation or an upgrade process are due to a lack of understanding of the responsibilities and the repository. We have proven that by having this information upfront, we can save thousands of hours and reduce the cost of the overall effort by hundreds of thousands of dollars
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Videos2
| Name | Description | Length |
| Product Overview | An overview of the Siebel repository, the benefits of proactive repository management, repository management challenges and an introduction into our Siebel Repository Analysis Report. | 00:03:18 |
| Case Study | A case study detailing how one enterprise customer benefitted from the Siebel Repository Analysis Report. | 00:02:51 |
Contact us for more information on repository management and upgrade planning.
1. Cost savings will vary from customer to customer depending on the breadth and complexity of the functionality in use.
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