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Managing Data Assets
©Global IT Solutions, Inc
On Star Trek, the Bridge is the focal point of information from the various areas of the ship
From the Bridge, the Captain is aware of everything that can potentially effect his ship (“Hull Breach, Deck 11, Captain!”)
Information must be integrated from various areas of the ship in order to make the information readily available to the stations of the Bridge
The Captain and his officers are able to make split-second decisions based on the readiness of information
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Most large ships (Cruise Ships, Naval Vessels, etc) also have a Bridge which integrates information from various areas of the ship to a common area
Data Integration on these ships to the Bridge requires that all systems on the ship be compatible with the repositories and systems that are used on the Bridge
The Bridge is essentially a singular ‘looking glass’ to the entire ship
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Companies do not realize the importance of having a Bridge
Inadequate resources are invested in building the Bridge
Lack of experience in building a Bridge Reports and Spreadsheets are used to
integrate information periodically (e.g., Corporate Accounting, Call Schedules, P&L Statements, etc) – and since practically everyone does it this way, there is a belief that this method is ‘effective’, thus a Bridge is not needed
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Overall increased costs of doing business Duplicate Development efforts Inconsistent Meta-Data Incompatible objectives Data Ownership issues Poor interdepartmental working relationships Data Management productivity Increased Resource Workloads Expensive Data Correction, Data Reconciliation Expensive Restatements Missed or lost business opportunities Impact to Business Reputation
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1. Each corporation initially builds its own set of systems with its respective databases and repositories
2. Database design and system development is often disparate and piecemeal (i.e., System/Database A is totally autonomous from System/Database B, etc)
3. Most databases and systems are poorly documented4. Every year corporate buyouts occur5. The collective core systems and the underlying
databases that survive each buyout are rarely, if ever formally integrated
6. The disparate and piecemeal nature of the resulting systems and databases mentioned in #2 are compounded with each corporate buyout
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Financial Instrument Master Credit Ratings (by Source) Hedge – Fund Analysis and Integration Obligor Risks Obligor Balances Exposure at Default Loss Given Default Legal Entity Relationships Chart of Account Components Beneficiary Account Data Common Business Lexicon Common Business Model (i.e., Data Model and
Process Model, where applicable)9www.globalitsolutionscorp.com
Create a Pilot Program, using Traditional Banking Products and Simple Vehicles for Equity and Debt
Invite Institutions to participate in the program and tweak the Business Model
Offer guidance to participating Financial Institutions on ‘best practices’ for Data Integration within their respective firms – using the common Business Model and advanced Data Management techniques
Create / Utilize Review Board Create Plan for expanding items outlined in Step
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Semantic Data Model will be used as a method of Knowledge-Transfer about Financial Instruments—from a few individuals to a common, accessible repository (e.g., model and database, etc)
Monitoring of Banking and Trading practices will be simplified
Formation of Bridges for the corporate ships will allow the ‘captains’ and ‘admirals’ to react faster when inclement conditions or events occur
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