Integrate to Accelerate

By Philip Dutton
on May 27, 2020

Metadata isn’t a new phenomenon; it has been used for centuries. Some of the earliest examples of it come from the Great Library of Alexandria in 280 B.C., where tags were attached to the end of scrolls. 

Library users could infer the scrolls’ content based on the title, subject, and author detailed on the tags. Metadata in computing first made an appearance in 1967 from MIT, where it was used to assist researchers in finding the appropriate data. Today it is critical to almost all facets of our lives. Helping us find, understand and access data quickly and efficiently through Google search, for example. Over the last 40 years, management of metadata has evolved and continues to do so at a rapid pace.

After the global financial crash of 2007/2008, regulators demanded organisations have better data and metadata management in place. BCBS239 is a key piece of legislation that reset the bar of expectations for financial services organisations. It places a specific, significant emphasis on data governance and metadata management. However, over the boom period before the bust, technology use had skyrocketed in these organisations both in terms of the number of products and their diversity causing a complexity nightmare that contributed to the severity of the crash.

Regulated organisations rushed to find and implement technology solutions to their newly mandated obligations and to provide evidence of understanding and control. Organisations like IBM, Informatica and Collibra had software products to address the new mandatory data governance. Financial services companies have spent millions of pounds purchasing and invested years implementing these extensive products. However, as this was an emerging discipline, the scope, requirements and complexity were not well understood and continued to exponentially evolve. While these products offered significant functionality there wasn’t - isn’t - a product that covers all of the aspects of metadata management, data governance and what we once considered state of the art, quickly becomes legacy in our rapidly changing technology environment.

Solidatus takes a very unique approach with organisations that adopted software early to start their data journeys and have since found their current tooling does not meet their growing needs. Rather than focusing on ripping and replacing incumbent systems, it seeks to enhance, extend and join together the myriad of products that make up an organisation’s metadata ecosystem. Forming technology partnerships with companies such as Collibra to assist their clients, Solidatus bookends Collibra enabling an accelerated onboarding journey, providing an automated link between the business and technology, and delivering understanding at scale through an intuitive and performant visualisation. The Solidatus|Collibra connector allows Solidatus to both import data from Collibra as well as export data to Collibra programmatically through our API.

Solidatus has the advantage of learning from all of the solutions that have come before as well as being able to utilise all of the latest modern technologies and development patterns to create a solution that can truly offer organisations shift left and level 5 (Optimising) on the capability maturity model. The Solidatus methodology for digitally transforming organisations to be data-centric and lineage-enabled has proven to be a game-changer with clients achieving up to a 90% reduction in operational costs for metadata management.

To learn more about the Solidatus-Collibra Integration download our Factsheet.

Topics: Data Governance, Metadata Management, Collibra, Metadata Ecosystems, Partnership

Author: Philip Dutton

Philip Dutton is a Co-Founder of Solidatus. With over 20 years’ experience, much of his expertise has come from managing global transformational change projects within the Financial Services sector. Philip is a thought leader in shifting the data management paradigm towards sustainability and is passionate about revolutionising the data economy and helping companies become proactive instead of reactive when it comes to the management of their data.
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