Trends in Data Catalogues
The growing maturity of data handling and analytics is driving interest in data catalogues. Over the past two years, most of the major vendors in the data analytics field have either introduced or are rapidly evolving their products to include data cataloguing.
Data catalogues help data users identify and manage their data for processing and analytics. Leading data cataloguing tools leverage machine learning (ML) and other search techniques to expose and link data sets in a manner that improves access and consumability.
However, a data catalogue is only beneficial when the organisation already has a sufficient level of maturity in how it manages data and analytics. Data literacy (the skills and core concepts that support data analytics) must also be established in the organisation’s user base to leverage full benefits from the proposed data catalogue.
Organisations considering data catalogues must have a clear picture of how to use this new architecture, and be realistic in how ready they are to leverage the technology. Furthermore, different organisations have unique and dynamic data attributes, so there is no one-type-fits-all data catalogue in the marketplace.
About The Advisor
Dr. Joseph Sweeney is an IBRS advisor specialising in the areas of workforce transformation and the future of work, including; workplace strategies, end-user computing, collaboration, workflow and low code development, data-driven strategies, policy, and organisational cultural change. He is the author of IBRS’s Digital Workspaces methodology. Dr Sweeney has a particular focus on Microsoft, Google, AWS, VMWare, and Citrix. He often assists organisations in rationalising their licensing spend while increasing workforce engagement. He is also deeply engaged in the education sector. Joseph was awarded the University of Newcastle Medal in 2007 for his studies in Education, and his doctorate, granted in 2015, was based on research into Australia’s educational ICT policies for student device deployments.