Data Dictionary. Evolved.
A Solidatus Data Dictionary, much like business glossaries, is a core component of modern data management, essential for defining a consistent technical vocabulary for an organisation. Due to the volume, complexity and rapidly evolving nature of the technology landscape, many organisations are unable to maintain a consistent understanding and lexicon throughout their technology estates.
Vendors, with their own proprietary terminology describing their technology, schema, metadata and format differences cause increased risk and cost, raising barriers to interoperability and understanding.
Solidatus is designed to make all aspects of data management faster by enabling organisations to quickly and easily gather, document and socialise data at truly enterprise scale.
Data dictionaries enable a consistent terminology across an organisation, helping to ensure accuracy and integrity of communication. A modern data dictionary should enable centralised control with a collaborative, federated model for suggesting, agreeing and maintaining terms, definitions and data that supports their use. Dictionaries, glossaries, policies, standards and other taxonomies all provide an organisation with a method to ensure internal and external alignment. Simplifying an all too complex and non-standardised domain.
Solidatus is the next generation, industry leading, Data Dictionary.
Solidatus Data Dictionaries are fully integrated, feature rich, intuitively designed and machine learning (ML) assisted. Designed to help organisation to rapidly identify, document, and share their technology common taxonomies in order to consistently communicate and access their most valuable asset their data. Solidatus enables data dictionaries to be tagged and linked seamlessly with data lineage models and asset inventories creating a complete end to end map of all data held, its interaction with language, policy and standards.
Organisational impacts of a data dictionary used in conjunction with data lineage are far more significant then when used in isolation. A data dictionary provides the technical what is, while the lineage provides the where, who and why, the context that gives meaning to metadata.
The Solidatus Data Dictionary is an evolutionary step forward, Solidatus listens and has learned from data dictionaries that have come before. Taking the most useful and requested features and integrating them into an operational framework. Utilising Solidatus’ simple, flexible, extendable UI/UX and our unique temporal/bi-temporal, versioned property graph technology to bring a new level of power and control to organisations.
Going beyond the power of advanced search to include a logical query language to be able to analyse data dictionaries and their interactions with organisational processes and data. Whether to find data assets, identify data quality issues or compliance problems, Solidatus puts the power into every users’ hands.
Data dictionaries help organisations handle their data more effectively and avoid liability and compliance failings A comprehensive catalog of data by technology is pivotal to successful data governance.
Collaborative knowledge sharing helps organisations to break down silos so to gain better insights into their data ecosystem to identify redundancies, streamline processes and reduce costs.
Systematic identification of poor-quality data reduces business risk by highlighting where potential issues can arise. Cataloged, visualised data allows organisations to future-proof by preventing crises, rather than managing them.
Businesses can enrich their data attributes with metadata and property settings to increase data understanding and insight to help drive their business intelligence.
Well-defined data dictionaries support organisations in their efforts to reduce the burden of regulations by providing operational consistency, reducing risk and cost.
Solidatus’ unique crowdsourcing, automated importing and heuristic matching engine, enables an organisation to quickly and effectively gather and model organisational data.
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