Importance of Data Governance - PowerPoint PPT Presentation

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Importance of Data Governance

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Data governance provides many benefits, such as improving the quality of data, increasing its accuracy, rendering it consistent etc. – PowerPoint PPT presentation

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Title: Importance of Data Governance


1
Importance of Data Governance
2
Table of Contents
  • Data Governance
  • Data
  • Benefits of Data Governance
  • Data Governance Tools

3
Data Governance
  • Data Governance refers to all the policies,
    processes, standards, metrics and roles that
    collectively ensure informations efficient and
    effective use for the purpose of enabling a
    business attainment of its goals. Data
    governance establishes those processes and
    allocates the responsibilities that are key to
    maintaining the quality as well as the security
    of the data that is used in a business. It is
    data governance that defines the interaction of
    circumstances, methods and actions with regard to
    data.
  • The roles, in the context of data, are clearly
    specified through data governance. Moreover, it
    ensures that there is mutual agreement across a
    business over responsibility (strategic, tactical
    and operational) and accountability.

4
Data
  • Since data governance has to do with data, let us
    briefly touch upon data as a concept. Data refer
    to a collection of statistics/facts that can be
    collected, reported, measured and analysed. Data
    are used in various organizational activities.
  • To digress, the content of websites (data) are
    stored on the servers of web hosting service
    providers. This stored data are delivered (upon
    request) from the servers to the users over the
    Internet. This is the process through which
    websites become accessible over the Internet. The
    most popular web hosting service providers are
    usually referred to as the Best Web Hosting
    Company or as the Best Windows Hosting Company
    or as the Top Cloud Hosting Company etc.

5
Benefits of Data Governance
  • Organizations can benefit in several ways through
    the implementation of an effective data
    governance strategy. Its major benefits are as
    follows-
  • Enhanced data quality- By providing a proper
    framework, data governance makes sure that data
    is accurate and consistent.
  • Overall improvement in business activities- An
    improvement in business planning along with an
    improvement in financial performance and profit
    maximization for a business, result from using
    such data to make decisions that are regulated by
    data governance.
  • Provides common terminology for data- A
    consistent terminology for data is provided by
    data governance while ensuring retention of
    flexibility that is exercised by individual
    business units.
  • Provides data map- Through data governance the
    location of all data with regard to key entities
    can be understood. This is essential for data
    integration.
  • Compliance consistency- The necessary platform
    that is required to meet government regulations
    as well as the requirements of the industry is
    provided by data governance.
  • Enhanced management of data- Data managements
    codes of conduct along with its best practices
    are established by data governance.

6
1-800-123 -8156
  • Whoa! Thats a big number, arent you
    proud?

7
Data Governance Tools
  • The tools for data governance should be scalable
    and should have the capability to be integrated
    affordably and quickly into a business existing
    environment. An idea data governance tool should
    ensure the following
  • Data management- Data should be managed by it
    with the aid of metadata-driven ETL and ELT along
    with data integration applications. This helps to
    track and trace data pipelines.
  • Control of data- Data should be controlled
    actively with reviewing and monitoring tools.
  • Improvement in data quality- Quality of data
    should be improved through validation, cleansing
    of data etc.
  • Documentation of data- Data should be documented
    for augmentation by metadata to enhance
    relevance, accessibility, searchability etc.
  • Provide profiling and benchmarking capabilities-
    Data should be understood through benchmarking
    and profiling capabilities.
  • Provide empowerment to those that understand the
    data- This helps in tasks that have to do with
    data stewardship, through self-service tools.

8
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