Written by Helene Abrams Friday, August 17 2007
The complexity of Oracle Applications’ relational databases has grown exponentially with each new version release, resulting in a system that is extremely difficult to implement and maintain. For example, Oracle Applications 11.5.10.2 contains over 2 million columns, each of which could be related to any other, or could be part of a check constraint, or part of a unique or primary key.
The constraints (or rules about the data) determine the sequence of changes made to the database. Most of these rules are not documented at the database level, so if a change is to be made, the rules have to be discovered and then validated with actual data. Furthermore, because rules cascade in a relational database, it is impossible to comprehend all of the possible combinations of relationships, making manual mining of the rules a daunting task that will almost certainly result in compromising the data integrity. While consultants with expert knowledge of relational databases can be an asset to an organization undergoing changes to their data systems, the assistance of software is necessary to ensure complete and correct data as well as an understanding of the impact of change. Verification has been a manual process, as analysts and consultants manually mine the database attempting to maintain data integrity, checking as many of the possible existing combinations as they can and keeping numerous spreadsheets as workarounds to making changes in their Apps.
The changes and rules at the database level do not consider the impact of business changes to related data. (If a product ID is changed, what is the business impact to production and inventory processes?) Managing the complexity of change both at the database level and at the business process level often results in a disconnect between the technical and functional players of database management. The time-consuming task of manual mining is naive concerning its effects on business processes, often proving very costly for a company going through data and business changes.
| < Prev |
|---|
Related Articles
Related Pages
Enter your email address to sign up for our Newsletter
January Puzzle
A traveler gets lost on a deserted island and finds himself surrounded by a group of n cannibals.
Each cannibal wants to eat the traveler but, as each knows, there is a risk. A cannibal that attacks and eats the traveler would become tired and defenseless. After he eats, he would become an easy target for another cannibal (who would also become tired and defenseless after eating).
The cannibals are all hungry, but they cannot trust each other to cooperate. The cannibals happen to be well versed in game theory, so they will think before making a move.
Does the nearest cannibal, or any cannibal in the group, devour the lost traveler?
Solution
The short answer is the traveler’s fate depends on the parity of the group. If there is an odd number of canibals, the traveler will be eaten, but if there is an even number, the traveler will survive.
To prove this, we will consider small groups and use mathematical induction to explain the solution for larger groups.
Case n = 1: this is an obvious case. If there is one cannibal, the traveler will be eaten. It doesn’t matter that the cannibal will get tired because there are no other cannibals around as a threat.
Case n = 2: this is a more interesting case. Each cannibal wishes to each the traveler, but each knows he cannot. If either cannibal eats the traveler, then he will become defenseless and the other one will eat him. So each cannibal uses backwards induction to realize that the only strategy is to not eat the traveler. The hapless traveler finds a bit of luck, therefore, and actually survives.
Case n = 3: this is where the problem gets interesting. The best strategy is for the closest cannibal to make a move and eat the traveler. The cannibal will be defenseless after eating, but ultimately he will be safe. Why is that? The reasoning is due to induction: once the cannibal eats the traveler, the resulting situation has 2 unfed cannibals and the 1 defenseless cannibal. But as we just showed above, when there are 2 unfed cannibals, neither will make a move for fear of being eaten by the other! Thus the first cannibal to make a move will be safe as the remaining 2 cannibals block each other.
We can prove the higher cases using mathematical induction. If the number n is odd, then the closest cannibal can safely eat the traveler because the remaining number of unfed cannibals is even (and by induction, with an even number of unfed cannibals no one makes a move). If the number n is even, then no cannibal will eat the traveler, for if he did, the remaining number of cannibals would be odd, meaning he will get eaten by the induction hypothesis.
Success Tips for Oracle Project Management
- Create a standard for documentation at the beginning of your project, and hold team members accountable for completing documentation requirements as well as keeping them at and above the standards required.
- Before promulgating user documentation or training, it’s also a good idea to choose a representative from the among the business users base to review materials first.
- If you are not sure about the resources and budget required, obtain several estimates from people that have experience with the same size and scope of your project.
- Be explicit, before beginning the project, what internal resources are required for execution. This includes people, infrastructure, hardware, and software.
- Help the project champion understand the impact your project will have on the organization and how its successful completion will make him or her an internal hero or heroine for supporting it.
- Break up your project into smaller projects (try for projects that can be completed in 4-6 months, especially early on) to get success and demonstrate momentum.
- Make sure that your testing includes reports, upstream and downstream interfaces, customizations, enhancements, and workflows.
- Ensure that comprehensive transition reports and meetings between departing and incoming personnel are completed.
- Instead of spending time and resources implementing third-party reporting, consider consolidating multiple instances, moving to a global chart of accounts (CoA), and/or standardizing on a consistent calendar.
- Include governance, risk, and compliance management as part of the project plan.
- Finally, celebrate the successes. Too many projects focus on defects, failures, or small cost over-runs without looking at the big picture and what was accomplished.
The Analyst Corner
John Van Decker, Research VP of Gartner, states:
"A single chart of accounts allows consistency in financial reporting across the enterprise by standardizing on common metrics and reporting structures, reduces dependencies on a separate financial consolidation system, and significantly reduces the costs incurred with ongoing, complex conversions and translations."
