A Data and Analytics platform is a sub platform of the Enterprise Digital Business Technology platform. It contains enterprise data management and analytical capabilities. Building the digital business technology platform is a core aspect of enterprise endeavours to support its
Lessons from history can inform data management and data governance professionals as well as those in the social sciences. Data governance must be able to adapt to all situations, including world war. Data Management professionals can learn from history, and
There are many sources of data in every organization, and many of these sources are valid. Therefore, challenges can exist about which source is the standard, and what definition is used for an attribute The World Trade Organization heard testimony
Textual data comes in a variety of formats, which information technology (IT) specialists and end-users must be aware of and address when developing and using textual solutions. When you ask a person about processing text, the usual reaction is to
Successful project managers present realistic expectations for completing any effort. Managing expectations for delivery is crucial to the perception of success, especially with business intelligence and analytics projects. Many data warehouse, business intelligence and analytics projects would have been labeled
Intelligent automation can reduce the instances and effects of automated cyber attacks As adversaries employ more complex tactics, techniques, and procedures (TTPs) to successfully evade and exploit conventional security controls, organizations are clamoring to secure an increasing number of digital
Is your business intelligence environment ready for safe, reliable, scalable accessibility via the Internet? How are you addressing this challenge? Typically, business intelligence (BI) environments are constructed and deployed initially to internal clients across the corporate local area network or
Master and reference data management is much more than a technical solution. It is a combination of data integration, metadata management, data governance, and enterprise data architecture that provides information about an organization’s core business concepts Master data management (MDM)
Performing and documenting data lineage can be the basis for a successful enterprise data management function Though data management and data linage may seem quite different, practical experience has shown they are related. Using data lineage as a basis for
It is important to understand the value of capturing as much detailed root data as possible to enable the development and usage of views and other analytical perspectives when designing business intelligence solutions. There are many levels of planning and
