IBM BDW DATA MODEL PDF

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Optimize your business processes through informed decision-making. Since large volumes of data are available to businesses nowadays, the main issue is to organize, retrieve easily and use it for reports in order to make informed decisions. This is where the real value of Business Intelligence BI solutions and data warehouses lies — in up-to-date high quality data that provides information and supports you in making both tactical and strategic decisions, all the way towards optimized business procedures and processes.

The role of data warehouses is complex and far-reaching. Its storage structure is designed to store large amounts of data and to allow quick data delivery. New data is accepted without changing the existing one, and information is placed in a manner suitable for reporting.

In this way, all the information of an institution is integrated into a single version of the truth SVOT empowering you to understand and act upon clear and reliable reports tailored to your needs. The knowledge and experience accumulated in these models is a kind of industrial standard for bank DW systems building. In addition to DW model, IBM BDW also keeps the models of specific applications Application Solutions Templates , and, what is most important, the business models Business Solution Templates which is actually business models of banking business processes.

The Banking Data Warehouse Model combines the flexibility of a normalized relational structure with data warehouse specific structures and content. DWH transforms different operational business data sources into more suitable and revolutionary different architecture:. With this kind of architecture, BDW model provides great possibilities for consistent, consolidated reporting and get reports which are correct and mutually comparable because they are all based on the same core data.

Subject Oriented. The BDWM organizes data around a number of key business subjects, proven subjects on which to analyse, track and measure the business of a Financial Institution, for example: Involved Party e. To be effective, the data in a data warehouse must be organized to a common measurement and reference format. Banking Data Warehouse Model provides a structure for the consolidation of the many varied but inter-related activities of a Financial Institution.

The same structure can also support such functions as credit exposure tracking on customers. While the two could be seen as separate functions they share related attributes and therefore the BDWM can supply the data to support both. The Data Warehouse should be a stable decision-making oriented environment. The BDWM is designed to support such an environment. The focus is on data structures, which are not updated directly, but are populated periodically by upstream operational applications.

The BDWM provides timestamps and identifiers for data being populated from such upstream systems. As well as the ability to store much of the information in a detailed format, the BDWM has included a number of pre-defined summarizations e.

Average Balances for an Accounting object, Average number of transactions per customer, etc. Financial Services Data Model. The FSDM is a generic model, defining data that is widely applicable to any financial services organization.

The information reflected in the data model is independent of organizational structure and has been validated by multiple sources within the industry. The model provides a framework for the development of consistent cross-enterprise data structures which promote information sharing across business applications. Since it provides a top-down view from an enterprise perspective, the FSDM provides a blueprint for database development as well as a tool for understanding and communicating the enterprise information resources of the major business activities of a generic financial services organization.

The Nine Data Concepts. Each of the data items in the FSDM is categorized as belonging to one of the nine data concepts. The core idea is that every business process in financial organizations could be described by using the one or more of these data concepts and their mutual relationships. A Data warehouse is a backbone of the entire BI solution architecture. Moreover, the data warehouse is intended to be a reference repository of an organization's electronically stored data.

Server side layer. Client-side layer. Our solution is composed of several applications and subsystems that are grouped into two main categories:. Transform business data into business intelligence. Achieve success with overall data insights. Subject Oriented The BDWM organizes data around a number of key business subjects, proven subjects on which to analyse, track and measure the business of a Financial Institution, for example: Involved Party e.

Integrated To be effective, the data in a data warehouse must be organized to a common measurement and reference format. Non-Volatile The Data Warehouse should be a stable decision-making oriented environment. Time-Oriented As well as the ability to store much of the information in a detailed format, the BDWM has included a number of pre-defined summarizations e.

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Tezauri DWH

Optimize your business processes through informed decision-making. Since large volumes of data are available to businesses nowadays, the main issue is to organize, retrieve easily and use it for reports in order to make informed decisions. This is where the real value of Business Intelligence BI solutions and data warehouses lies — in up-to-date high quality data that provides information and supports you in making both tactical and strategic decisions, all the way towards optimized business procedures and processes. The role of data warehouses is complex and far-reaching.

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Information Framework

Information FrameWork IFW is an enterprise architecture framework , populated with a comprehensive set of banking specific business models. It was developed as an alternative to the Zachman Framework by Roger Evernden. The banking specific business models represent good practice in banking and is a natural extension to the Component Business Model. The IFW business models describe the business of the bank and are an efficient communication bridge between business and technology communities. The IFW business models will assist a bank in implementing a flexible, reusable, extensible and easily customizable architecture, which in turn will enable the bank to:. In its conception, the IFW was an enterprise architecture framework created as an alternative to the Zachman Framework.

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