TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Data Integration Platforms: A paradigm shift towards Business-to-IT Collaboration

Webinar Abstract
Two closely related trends are changing how data integration solutions are being designed and implemented. In a user-driven trend, business analysts and managers need to scout for greater leverage of data in support of business goals, as well as to avoid problems around data compliance, security, and privacy. In response, technical users are trying to give their businesses greater visibility into and collaboration around data integration, but are stymied by the silo’d and heavily technical nature of tools for data integration and related disciplines in data management.

A related vendor-driven trend seeks to supply users’ demands for collaboration and visibility, by providing a data integration platform that includes tools for multiple user types (both business and technical), metadata and other reusable artifacts shared across teams and projects, and process-driven functions for governance and compliance. This new generation of data integration platform enables collaborative development for teams of multiple data integration specialists, as well as coordination with other technical teams. And it gives business managers a new level of involvement, guidance, and control for data integration solutions.

What you will learn:

• Business and technical reasons for addressing collaborative data integration, both within data integration teams and outward to business managers
• Feature/function requirements for broadly collaborative data integration platforms
• Top-down, business-first, and distributed development design and implementation methods enabled by new data integration platforms
• Uses cases for collaborative data integration platforms, including business integration, 360-degree views, IT-to-business alignment, data governance and stewardship, and the role of XML in data-driven collaboration

Philip Russom, Ph.D.

Sponsored by TDWI and IBM Content