Metadata is the foundational data management capability used to transform data into information by providing business and technical context.

It provides essential details about your organisation's information assets, such as:

  • What it means
  • Where it resides
  • How it is stored
  • What it is used for
  • Whether or not it is Personal data
  • and much more.

Simply put, metadata provides a comprehensive, shared understanding of where data resides in your organisation and how it is used.

Three types of metadata

To build this comprehensive capability organisations must collect and manage the following metadata types:

1. Physical/technical  

A view of systems, tables and columns where data is physically stored. This metadata can frequently be harvested automatically into a data dictionary or data catalogue

2. Logical / lineage 

A view of how data is linked together, and how data flows through systems and processes. Again automated harvesting is essential to get and maintain an enterprise view.

3. Conceptual/business 

The business context for data including its definition, how it is used, responsibilities and so forth. Automated processes, supported by machine learning, can support your stewards and subject matter experts as they collaborate to capture this context.

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Supported with Data Governance

Many organisations focus their data stewardship activities around the business glossary, for example capturing the definitions of business terms, or to identify and classify personal data fields.

There is no debate that data governance is important, both to support collaboration between various stakeholders and to ensure accountability and maintain standards. 

When everyone works together to interpret and document metadata, organisations institute a mutual understanding of data assets, minimising any confusion business users face when working with the metadata catalogue. 

Leveraging a platform like Data360 ensures that knowledge workers can quickly and easily find the information that they need to do their jobs. It engages stewards and knowledge workers combining automated workflows and machine learning to curate metadata and build your enterprise view.

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Data360 platform

 

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Understand your Enterprise Systems

We also provide a unique business understanding of your enterprise ERP and CRM systems with Safyr.

Safyr automatically harvests technical definitions from your SAP, Oracle, Salesforce or Microsoft enterprise systems and provides business context, and can share this context with your enterprise data catalogue.

Safyr

Safyr

Understand your ERP and CRM metadata

 

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Without context your data is useless

The companies that invest the time and energy to build a shared understanding of data are also those that will be the most successful in leveraging big data, data science and advanced analytics techniques including artificial intelligence and machine learning. 

They are also able to deal effectively with data-related compliance and regulatory requirements, such as PoPIA, as metadata provides input into gap analysis, or to assess and manage the impact of a data breach.

Whether you are just beginning, or whether you are just looking to plug a gap in your existing capabilities, we can help.

Give us a call today and let's get you started.

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Read our blog

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Assess the Severity of Data Breaches using Metadata

 

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Data Governance is not Data Management

 

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Our EIM Framework

Our EIM Framework

Understanding Enterprise Information Management

 

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