IBM Industry Models provides a catalog of industry-specific terminology and concepts, data structure designs, and KPI & report designs which can quickly help governance, compliance and integration efforts.
IBM Industry Models can help accelerate your analytics journey by applying best practices using pre-designed industry-specific content. It can help you manage your enterprise data whether in your data warehouse or in the data lake so you can make derive insights and make informed decisions.
IBM Industry Data Models also work hand-in-hand with IBM Process and Service Models, which are specifications of processes and services common among organizations in a particular industry. They represent our best practice business process models with supportive service definitions for development of a fluid, service-oriented environment. Many organizations choose to complement their IBM Industry Data Model together with IBM Process and Service Models.
Pre-defined financial services specific vocabularies, workflows, activities and services, interfaces and components which can help with the analysis and design of business process management and service-oriented architectures.
Pre-defined insurance services specific vocabularies, workflows, activities and services, interfaces and components which can help with the analysis and design of business process management and service-oriented architectures.
Business user focused vocabularies for IBM Industry Models
Learn the guidelines that organizations are using for IBM Industry Models which help build vocabulary assets that are effective in accurately reflecting the meaning and full context of the key business terms that are needed to support the specific needs of the various business focused users.
Manages master data for single or multiple domains – customers, patients, citizens, suppliers, locations, products, services offerings, accounts and more – for improving application & business process effectiveness.
Helps create and maintain trusted information to support strategic business initiatives including big data, point-of-impact analytics, business intelligences, data warehousing, master data management, and application consolidation and migration.