IBM Industry Models for Banking and SDP
Printer-friendly versionSend to friendPDF version
Enterprise Modeling with IBM Software and Industry Models
IBM Industry Model for Banking
The model is based on strong Primary Key - Foreign Key relationships that will assure consistency in the model itself and in content of implemented Data Warehouse System. Model has more than 130 Entities (Tables) grouped in 12 Subject areas:
Subject areas (in alphabetical order):
- Activity Based Costs Subject area,
- AreaCAPEX Subject area,
- Contact Center Subject area,
- Credit Information Registry Subject Area,
- CRM Subject Area,
- Customer Subject Area,
- Customer Account Subject Area,
- Dunning, Collections and Workout Subject Area,
- Human Resources Subject Area,
- Regulatory Reporst For Central Bank Subject Area,
- Marketing Campaign Subject Area,
- Risk Subject Area.
Based on data represented in the model, all standard Banking reporting and analysis Data Marts can be delivered.

Are the key legislative pillars such as Basel II & III, UCITS IV and Solvency II forcing you to re-examine how you identify, measure and manage risk and capital?
Is the goal of your website to sell services or products, educate, or collect data?
Comments
Deploying IBM Industry Data Models on a Netezza appliance
Here:
Deploying IBM Industry Data Models on a Netezza appliance
About This Paper
The purpose of this paper is to provide guidance on how to deploy the IBM Industry Data Models on a Netezza appliance. This paper is divided into the following chapters:
Chapter 1, "Selecting a subset of IBM Industry Data Model content for Netezza deployment" explains the components of the IBM Industry Data Models, describes how they are related, and introduces the concept of identifying a subset of the data warehouse design model to be deployed.
Chapter 2, "Transforming the Logical Data Model to a Physical Data Model / DDL for deployment on a Netezza appliance" outlines the steps required to transform the subset of the Logical Data Model to a Physical Data Model, and from there generate Data Definition Language (DDL) that can be run on a Netezza appliance.
Who Should Read This Document
- IT Architects, - IT Specialists, - Data Modelers, - Database Administrators, - Business Intelligence practitioners
Netezza, IBM & REvolution Analytics
nice page: good references
Solvency 2 and Data Management
A Practitioners Perspective
John Smith - IBM Business Solutions Partner
An Architecture for a Business and Information System
by Barry A Devlin & Paul T Murphy
1988
the founding fathers, click the pic
Design an SOA solution using a reference architecture
A financial markets front office integration blueprint
IBM technology in the financial markets front office, Part 1: Overview of a financial markets front office integration blueprint
Scoping the IBM Industry Model for banking
Scoping the IBM Industry Model for banking using Enterprise Model Extender and InfoSphere Data Architect
from DeveloperWorks
Industry Models for Enterprise Data Management (EDM)
Industry Models for Enterprise Data Management (EDM) in Financial Markets
An InfoSphere Software White Paper
The subprime credit crisis of 2007 and the ensuing liquidity crisis in global financial markets highlighted weaknesses in the risk management processes and the information technology infrastructure of many financial market organizations. There are various dimensions to this, but underpinning many of the issues that have arisen is a failure to manage critical data pertaining to financial instruments, counterparties, and liquidity in an integrated and readily accessible fashion. To address this, various industry bodies, vendors, and financial institutions have considered the adoption of industry data models and classification standards for financial instruments and other business entities. In this paper, we describe the industry models that IBM has developed for the financial market industry for this purpose. We draw comparisons to related EDM technologies and to the data standardization efforts of the EDM Council, a leading industry body for the financial market industry.
You Have to register to download this paper from IBM but it is worth it
here
Speed Time to Value for Information-Centric Projects
IBM® InfoSphere™ Discovery:
Impatient IBM Acquires Exeros to Hurry Up Data Discovery
InfoSphere Warehouse
http://www-01.ibm.com/software/data/infosphere/warehouse/
Enterprise Solution Structure
http://www.research.ibm.com/journal/sj38-1.html
Data and Process Models for Your Industry
http://www-01.ibm.com/software/data/industry-models/
Change, Challenge and the Data Warehouse
http://www.ibm.com/developerworks/data/library/dmmag/DMMag_2009_Issue3/Warehouse/index.html?ca=drs-
The Information Framework (IFW)
IFW is described and compared with the original Zachman structure, showing the evolution, changes, and the rationale behind the changes based on experiences from within the financial services industry.