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How to make your data catalog the central point of your data governance strategy?
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How to make your data catalog the central point of your data governance strategy?

What is a data catalog?

An Organized location where all metadata of data stored by a company is collected is called data catalog, data catalog enables users to access self-service data sources and understand these data sources. It also reduces the number of data silos within the data environment. Data catalogs also make it possible to speed up analysis and make it more accurate.

What is data governance?

Data governance is a set of norms, processes, roles, standards, and metrics to ensure the effective and systematic use of information to help organizations in achieving their goals. It also helps to describe the processes and responsibilities that ensure data quality and security within a company or an organization. It also describes who can perform which action, on which data, in which case, and according to which method.

Common Challenges faced by the organization in data governance.

1. Lack of leadership in data strategy

  • Many Organizations face leadership issues in their data governance strategy. Businesses understand that technology is not everything when it comes to data management.
  • Each employee should be responsible for their own data. It is also necessary that the data manager of the company, whether it is the Chief Data Officer, DPO or in any other position, has a certain hierarchical level so that the data culture is necessary to develop the data.
  • The “data leadership” challenge is based on the conflict between business teams and IT teams. It is important that all teams are involved in data governance.

2. Understand the business value of data governance.

  • It is a mistake not to invest in the implementation of data governance. Because of the quality of the data and governance will not improve only by investing in technology alone.
  • It would highlight gaps in the organization’s data management, but they would not control themselves. Therefore, it is necessary to go further.
  • The number of teams’ trust in the data, their ability to work with the available data. The time required to reach the desired data, the understanding of the data used, etc. Is essential. These variables have a commercial “value” related to data governance.

3. Ownership of the budget and data governance

  • A data governance project must be able to rely on resources, finance, and human because without resources, the goal will not be achieved and the project becomes a burden.
  • The financial budget is not everything with an allotted budget. The data managers will be able to equip themselves and their company’s employees to promote the acquisition of data culture and ways of working.
  • But in order to adopt new data practices, data governance, better data quality, data security, and more. It is also necessary to establish a corporate culture.

Role of data catalog in Data Governance?

Most organizations are hampered by the lack of data catalogs or the clutter of using catalogs and glossaries that are sometimes created in spreadsheets.

Each of these typically collects the technology and/or businesses about a single BI or database platform, data warehouse or application.

Metadata, as the amount of data grows and changes, enterprises need a more comprehensive enterprise data catalog. At the enterprise level, data catalogs can form the core of a comprehensive strategy to make it easier to locate and manage enterprise systems locally and in the cloud.

Authorized access to data to provide developers and users with easy access to corporate data catalogs, can eliminate the challenge of creating a data pipeline that extracts data from multiple sources. And helps ensure consistent access to reliable data Can does.

Simplified Governance Corporate Data Catalog enables organizations to respond faster to governance audits.

When transferring data across the entire life cycle of an organization, you need to monitor the data. Research has found that the ability to monitor data usage and genealogy (the source of data and what happen in the process of conversion, enrichment, and cleaning) is the most frequent survey.

When transferring data across the entire life cycle of an organization, you need to monitor the data. Research has found that the ability to monitor data usage and genealogy (the source of data and what happen in the process of conversion, enrichment, and cleaning) is the most frequent survey.

Among organizations’ management priorities, approximately one-third of organizations are studying the integration of small data catalogs and terminology into corporate data center resources. In particular to improve their response to governance and data privacy regulations.

Enterprises need more data catalogs to solve these problems.

For example, to protect its data, it needs tools that can use catalogs to find data, and then implement governance constraints and policies to prevent unauthorized access to runways. Let’s implement. Tools are also needed to manage the duplication. Duplication and collection of data so that it does not lose control over governance and security.

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