Providing Technology Training and Mentoring For Modern Technology Adoption
You have heard it said: “It’s all about the data,” and indeed, data represents one of the most valuable assets that your enterprise possesses is your data. For many organizations, data serves as the cornerstone of their intellectual property. The trouble is that for many enterprises, their data is spread across multiple disparate data stores, complete with inconsistent data structures, non-standard naming conventions, duplicate data, and conflicting data representations.
No matter how well your applications, services, business processes, or other technology systems and assets are designed, nothing can cover up or otherwise overcome the limitations of bad data. Mismanaged data results in conflicting reports, unreliable results, information replication issues, and a host of other problems that require extensive workarounds, patches, and troubleshooting.
Master Data Management (MDM) is an alignment strategy aimed at unifying your organization’s data into a coherent whole. MDM provides an overarching methodology for resolving data fragmentation. Data fragmentation results in duplicate data, inconsistent information sets, and stale or out-of-data reports. MDM addresses all of this from a comprehensive perspective and ensures that your data management strategy aligns with your business objectives.
This course provides a hands-on, workshop environment to enable project teams to explore MDM theory, practice, and strategy in a dynamic education and mentoring environment. Attendees are provided with a broad survey of Master Data concepts and given an opportunity to explore MDM from multiple angles. Concepts are reinforced through analysis of real world case studies, group discussion, as well as collaborative group-based exercises designed to put these concepts into practice.
Information Technology Architects, Developers, Business Analysts, and Managers
A basic understanding of data models and information management is expected. Previous experience with database design concepts is helpful, but not required.