Metadata Management

  • Enterprise Data Asset and Information Services Knowledge Capture.
  • Business, Technical, and Statistical Data Collaboration.
  • Search and Discover Enterprise Data and Information Assets.
  • Consistent Data Asset Reference for Consensual Decision Making.

Privacy and other data related legislation have mandated organizations to become fully acquainted and accountable for the data they acquire, retain and utilize in conducting their business operations. ​They are required to have the necessary controls in place to manage where, where, when, and by whom data is accessed and consumed within their organization. Businesses who fail to comply with such legislative, regulatory, and other similar mandates are susceptible to significant financial penalties, costly legal proceedings, and potentially irreparable reputational damage.

Consequently businesses are experiencing expansive growths in the volumes and varieties of data their business operations are generating and storing. Additionally data management is extending beyond the boundaries of centrally hosted on-premises data centers, and expanding to decentralized cloud hosted relational and non-relational technologies. All of which continually increasing the challenges and risks of failing to comply with the legal and regulatory mandates.

​​Metadata management is a suite of technologies, processes, and practices which enable business and technology stakeholders to gain transparency into their business data landscape. Allowing them to understand where, how, and by whom corporate data assets are being utilized across the organization. An essential capability for an organization to successfully manage and govern its data related compliance responsibilities.

Metadata management plays a key role in optimizing data processing operations. It facilitates in reducing costs, expediting time to market, and improving the overall quality of information system deliveries.  

An established metadata repository becomes the de-facto enterprise standard for identifying and recording enterprise-wide ‘systems of record’, ‘authorized sources of truth’, and 'master data' references. It becomes the primary source for planning and designing information system deliveries. Eliminating the financial burdens associated with inconsistently implemented data processing activities and redundantly duplicated data.

A well maintained readily accessible metadata source allows information systems architects and designers to discover the appropriate data sources for implementing transaction processing and decision support solutions. The vetted contents of the metadata repository provide a trusted source of transparency into the integrity and quality of the candidate data. The data quality and integrity related metrics ensure all stakeholders have consensual understanding of the state of the data prior to selecting it for their solution. Drastically reducing data exchange reconciliation efforts. Resulting in a less costly and sooner time to market of solution delivery.

 

      

 

Enterprise standard metadata management technologies have readily available connectors that allow to automatically source and integrate metadata from data stores and data processing applications. The sourced metadata is automatically correlated within the repository to generate the data lineages between the various data stores, applications, and reporting environments. Providing readily available source of information describing the movement and transformation of data along the information supply chain. An extremely valuable capability for assuring compliance with regulatory, financial reporting and other forms of auditing requirements.

The automatically sourced technical metadata is further elaborated with business expertise, and information related to the security, privacy, sensitivity, confidentiality, accessibility, quality, and processing of the respective data resource during its existence within the organization.

​Metadata management can be utilized to mitigate against risk of losing corporate knowledge at the departure of experienced employees. Persisting individuals’ knowledge within a shared collaborative repository, ensures its continual existence and availability for supporting future decision making activities.

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