Reviews for 'Data and Analytics - Others'
EA tools allow organizations to examine both the need for, and the impact of, change. They capture the interrelationships and interdependencies within and between an ecosystem of partners, operating models, capabilities, people, processes, information, and applications and technologies. They provide a central repository to capture data and metadata about the artifacts that an enterprise cares about and their related life cycles. Models represent the relationships between these artifacts and are themselves treated as assets that help describe and shape the future of the enterprise. EA tools help with investment decisions for both IT and the broader enterprise. When models are combined with operational performance data, they can help improve business outcomes and shape the construction and ongoing development of digital platforms.
EBPA is the discipline of business and process modeling aimed at transforming and improving business performance with an emphasis on cross-viewpoint, cross-functional analysis to support strategic and operational decisions.EBPA is based on the principles of collaboration, short-cycle delivery, lightweight but robust modeling, and model governance. The two key principles of EBPA are “see the whole” and “understand the value network.” The former is the basis for model ontology, which expands understanding beyond just process. The latter involves the cross-division, cross-business element of the organization and the connection to external constituents such as clients, suppliers, business partners and ecosystems. EBPA tools are of interest to business architects, enterprise architects, process architects, process analysts and process owners looking to transform and/or optimize their process-related outcomes.
Metadata management is about an organization’s management of its data and information assets. Metadata describes the various facets of an information asset that can improve its usability throughout its life cycle. Enterprise metadata management (EMM) encompasses the roles, responsibilities, processes, organization and technology necessary to ensure that the metadata across the enterprise adds value to that enterprise’s data. EMM is different to metadata management, which only operates at the level of a single program, project or initiative; EMM works across all. The market for metadata management solutions comprises vendors that include one or many metadata management capabilities such as • Metadata repositories • Business glossary • Data lineage • Impact analysis • Rules management • Semantic • Metadata ingestion and translation